WEBVTT - Bloomberg Businessweek Weekend - September 8th, 2023

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<v Speaker 1>This is Bloomberg business Week Inside from the reporters and

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<v Speaker 1>editors who bring you America's most trusted business magazine, plus

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<v Speaker 1>global business, finance and tech news. The Bloomberg Business Week

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<v Speaker 1>Podcast with Carol Messer and Tim Stenebeck from Bloomberg Radio.

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<v Speaker 2>Hi, everyone, Welcome to the Bloomberg Business Week Weekend Podcast.

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<v Speaker 2>Bloomberg News Deputy team leader for US Equities Jess Metton,

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<v Speaker 2>Carol and I are sharing the hosting duties this week

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<v Speaker 2>and head on the program. We're going to continue with

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<v Speaker 2>our coverage of the Bloomberg Business Week Cities issue. Our

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<v Speaker 2>magazine team breaks down how New York City is spending

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<v Speaker 2>big to reform its bail system and bucking a two

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<v Speaker 2>billion dollar industry in the process, and the CEO of

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<v Speaker 2>Creatio explains how her platform can help people automate workflows

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<v Speaker 2>at the enterprise level with little to no coding knowledge.

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<v Speaker 2>And the CEO of digital marketplace Flash Food details his

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<v Speaker 2>strategy for connecting consumers to heavily discounted food and thereby

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<v Speaker 2>reducing waste and saving money. Plus a look back at

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<v Speaker 2>some of our special coverage from the twenty twenty three

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<v Speaker 2>US Open, including a conversation with former USTA CEO Katrina Adams,

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<v Speaker 2>all of that to come. We begin this hour on

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<v Speaker 2>a somber note, though, as Monday will mark the twenty

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<v Speaker 2>second anniversary of the September eleven attacks on the United States.

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<v Speaker 2>To help us reflect on one of the darkest moments

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<v Speaker 2>in our nation's history and pay tribute to the thousands

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<v Speaker 2>of lives lost on that day in two thousand and one,

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<v Speaker 2>Jess and I welcome in Joseph Pfeiffer, the first FDNY

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<v Speaker 2>chief to respond to the attacks. He's also the author

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<v Speaker 2>of Ordinary Heroes, a memoir of nine to eleven. He's also,

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<v Speaker 2>i should note, unretired, having been appointed FDNY First Deputy

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<v Speaker 2>Commissioner back in March. Chief, it's good to have you

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<v Speaker 2>with us.

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<v Speaker 3>Oh, it's good to be here with you today.

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<v Speaker 2>You know, every year around this time, I wonder what

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<v Speaker 2>people think about who were there that day, and you were,

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<v Speaker 2>of course one of the first people who were there

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<v Speaker 2>that day. What does this time of year mean to you.

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<v Speaker 3>It's a time to remember. It's a time to remember

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<v Speaker 3>the tragedy of that day, but it is also a

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<v Speaker 3>time to remember how how firefighters ran into danger to

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<v Speaker 3>save lives. And there's Another thing that we need to

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<v Speaker 3>remember is that the global community came together and we

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<v Speaker 3>supported each other in one voice against terrorism.

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<v Speaker 4>You were the first fire chief at the World Trade

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<v Speaker 4>Center on that day, and remarkably, you already had a

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<v Speaker 4>documentary film crew with you filming another instance, as far

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<v Speaker 4>as when you were dealing with a routine gas leak.

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<v Speaker 4>What kind of goes through your mind whenever you think

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<v Speaker 4>back to that moment, having already been down there before

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<v Speaker 4>everything began.

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<v Speaker 3>I remember it was a beautiful summer morning with bright sunshine,

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<v Speaker 3>and we were standing in the street at an ordinary emergency,

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<v Speaker 3>and then all of a sudden, we heard a loud

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<v Speaker 3>noise of planes coming overhead, and as you know, we

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<v Speaker 3>never hear planes because of the tall buildings. And then

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<v Speaker 3>I see this plane flying on a very low altitude,

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<v Speaker 3>so low I could read on the fuselage American, and

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<v Speaker 3>it raced past us at fast speed, and I saw

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<v Speaker 3>the plane aim and crashed into the World Trade Center,

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<v Speaker 3>And in that moment, I knew that this was no accident,

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<v Speaker 3>that this was a direct attack, and that's the message

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<v Speaker 3>I gave on the radio. And really, in that moment,

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<v Speaker 3>our entire world changed. And the next one hundred and

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<v Speaker 3>two minutes would evolve with a traumatic memories of what

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<v Speaker 3>took place.

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<v Speaker 2>You must have replayed those moments in your head countless

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<v Speaker 2>times at this point.

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<v Speaker 5>I do.

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<v Speaker 3>And one of the moment I remember is that as

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<v Speaker 3>we pulled up to the World Trade Center, we saw

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<v Speaker 3>smoke coming out of the top, flames coming out, and

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<v Speaker 3>people started to gather by the windows, and we knew

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<v Speaker 3>that at that time there would be like twenty thousand

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<v Speaker 3>people within the World Trade sent the complex, and every firefighter,

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<v Speaker 3>every paramedic, every fire marshal, every police officer, every responder

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<v Speaker 3>looked at the burning buildings and they knew they were

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<v Speaker 3>going to the most dangerous fire of the lives and

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<v Speaker 3>they made a personal choice to go in. And even

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<v Speaker 3>though this is our job, this is what we do,

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<v Speaker 3>it still was a personal choice to run into danger.

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<v Speaker 4>And your brother Kevin was amongst those that went up.

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<v Speaker 4>And it was interesting that the documentary crew that you

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<v Speaker 4>were with actually had a moment where the two of

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<v Speaker 4>you were talking and he went up there. When you

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<v Speaker 4>think back to that moment, how do you feel.

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<v Speaker 3>I think back to the moment when he came up

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<v Speaker 3>to me without saying a word, and we looked at

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<v Speaker 3>each other, wondering if we're both going to be okay.

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<v Speaker 3>And then I ordered him to go up to evacuate

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<v Speaker 3>and to rescue those that were trapped. And it was

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<v Speaker 3>the same order I gave many fire offices. And I

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<v Speaker 3>think back to that moment, which was a special moment

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<v Speaker 3>that we saw each other. And then I saw him

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<v Speaker 3>take his Unit Engine thirty three in turn to climb

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<v Speaker 3>the narrow stairs of the World Trade Center.

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<v Speaker 4>So whenever you talk about in your memoir called ordinary heroes,

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<v Speaker 4>is that the ordinary hero that you're talking about.

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<v Speaker 1>That is.

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<v Speaker 3>And as my brother went up, I know the firefighters

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<v Speaker 3>went up. People were coming down, and the firefighters said

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<v Speaker 3>to people, don't.

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<v Speaker 1>Stop, keep going.

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<v Speaker 3>You can make it out of here. Some simple words,

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<v Speaker 3>and those words we know from people who survived. Those

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<v Speaker 3>words made a difference because they made it out.

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<v Speaker 2>When I think about nine to eleven, I remember where

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<v Speaker 2>I was, along with many other the people who are

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<v Speaker 2>around my age and older, they remember where they were,

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<v Speaker 2>they remember what they were experiencing. It was sort of

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<v Speaker 2>like a you know, talking to my parents that moment

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<v Speaker 2>that John F. Kennedy was killed, or talking to my

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<v Speaker 2>grandparents that moment that Pearl Harbor was attacked. Since nine eleven,

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<v Speaker 2>tens of millions of Americans have been born people who

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<v Speaker 2>only heard about nine to eleven as stories. They didn't

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<v Speaker 2>live through it, they didn't experience it. How do you

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<v Speaker 2>keep the memory of these ordinary heroes, keep the legacy

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<v Speaker 2>of them in a world where it's increasingly becoming a

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<v Speaker 2>distant memory.

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<v Speaker 3>The memory of nine to eleven is part of history,

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<v Speaker 3>and certainly are young people many of them weren't even born,

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<v Speaker 3>and they can read about it, But they also can

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<v Speaker 3>see documentaries, and I think that's a different experience that

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<v Speaker 3>they actually looking at a documentary experience it again. And

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<v Speaker 3>the question for us, I think, is what do we

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<v Speaker 3>want them to learn from it. Is this just an

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<v Speaker 3>event that they look at it on a program or

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<v Speaker 3>is there more meaning to it? And I believe that

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<v Speaker 3>we want our young people to understand what took place

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<v Speaker 3>that day, and we do it with our probationary firefighters.

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<v Speaker 3>We bring them to the nine to eleven museum and

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<v Speaker 3>for them to walk around and see the burnt out

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<v Speaker 3>fire trucks. We want them to experience what took place.

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<v Speaker 3>But I think as they look at this event as

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<v Speaker 3>part of history and they see our firefighters and first

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<v Speaker 3>responders running in they see them as superheroes running into danger.

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<v Speaker 3>And you know, it can never be a superhero. It's

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<v Speaker 3>just too difficult to to to do those things. And

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<v Speaker 3>what I tell them is that on that day, our

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<v Speaker 3>heroes did ordinary things, but at an extraordinary time. And

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<v Speaker 3>I think when they think of nine to eleven as

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<v Speaker 3>that as ordinary heroes, they can start to imagine themselves

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<v Speaker 3>as being one of those heroes. And we need that

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<v Speaker 3>today more than anything else. We need our new generation,

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<v Speaker 3>our young generation, to tackle some of the problems that

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<v Speaker 3>we're experiencing. Not only do we have to deal with

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<v Speaker 3>acts of violence and terrorism and homeland security issues, but

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<v Speaker 3>we have issues of climate change or what I'm referring

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<v Speaker 3>to now as climate security. How do we deal with

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<v Speaker 3>the heat, the wildfires that we saw in Mali, the storms.

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<v Speaker 3>I I think that's what our new generation, our young generation,

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<v Speaker 3>should see themselves as part of the solution to those problems.

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<v Speaker 4>Earlier this year, you actually came out of retirement to

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<v Speaker 4>take on a new job as the nation's largest fire

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<v Speaker 4>department here and you were named first Deputy Commissioners. That's

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<v Speaker 4>the second highest civilian rank in the department managing those

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<v Speaker 4>day to day operations, So very impressive. What motivated you

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<v Speaker 4>to do this after you did retire from the FDNY

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<v Speaker 4>in twenty eighteen.

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<v Speaker 3>It's coming back to the fire department that I love,

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<v Speaker 3>that there's so much part of my life and saying, yeah,

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<v Speaker 3>I got some more work to do. There's other things

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<v Speaker 3>that I can do now. As I mentioned, it's not

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<v Speaker 3>only responding to emergencies here, but how do we shape

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<v Speaker 3>the department to deal with lithium battery fires and to

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<v Speaker 3>deal with the climate change safety issues. So it's it's

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<v Speaker 3>for me, it's exciting going to work every day.

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<v Speaker 2>It's pretty remarkable that in the last twenty years, twenty

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<v Speaker 2>two years and moving forward, we'll probably see more people

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<v Speaker 2>die as a result of the toxins the pollutants at

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<v Speaker 2>Ground Zero than who were actually killed in the attacks,

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<v Speaker 2>and continue we continue to see members of the FDN

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<v Speaker 2>Y die each year as a result of this. How

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<v Speaker 2>do we keep those heroes in our memory even though

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<v Speaker 2>they're dealing with the health effects decades later.

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<v Speaker 3>It's hard to believe that twenty two years later, we're

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<v Speaker 3>approaching the number of our firefighters that died on nine

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<v Speaker 3>to eleven lost three hundred and forty three of our members,

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<v Speaker 3>and we're approaching that number. We're at three hundred and

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<v Speaker 3>forty one that died from Post nine to eleven diseases

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<v Speaker 3>from from the toxics that that you've mentioned. And we

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<v Speaker 3>keep those memories alive by in the FDN Y by

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<v Speaker 3>putting their names up on a on a wall, and

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<v Speaker 3>and we're putting up for this year forty three names

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<v Speaker 3>that have just died in the in the in the

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<v Speaker 3>last year. So we have at our fire Department headquarters

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<v Speaker 3>a plaque of with the names of all the firefighters

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<v Speaker 3>that have died since the beginning of the FDNY and

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<v Speaker 3>opposite including the nine to eleven nine eleven firefighters, and

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<v Speaker 3>opposite that are the fire fighters and our members and

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<v Speaker 3>our medical ems folks that died post.

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<v Speaker 1>Nine to eleven.

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<v Speaker 4>As we come to this twenty second anniversary, whenever you're

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<v Speaker 4>speaking with family members of those who are going to

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<v Speaker 4>have their names added, how are they feeling at this moment.

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<v Speaker 3>There's a level of sadness, but at the same time,

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<v Speaker 3>there's a sense that we're supporting each other and they're

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<v Speaker 3>not alone. Coming together as department and other family members

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<v Speaker 3>that have lost loved ones. We stand arm in arm,

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<v Speaker 3>and we stand arm with the City of New York

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<v Speaker 3>and the country and even the world, and in that sense,

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<v Speaker 3>we can make it through it.

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<v Speaker 2>Do you think there's more work to be done in

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<v Speaker 2>taking care of those not just members of the FDN Y,

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<v Speaker 2>but those who are living with the effects of nine

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<v Speaker 2>to eleven More that Congress can do.

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<v Speaker 3>There's definitely more that Congress can do. They could continue

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<v Speaker 3>to fund our medical programs, and we're dependent on that

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<v Speaker 3>in FDN Y. For the people who have got sick

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<v Speaker 3>that they've survived, actually eighty five percent of them survived

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<v Speaker 3>longer than what was expected because of our medical programs,

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<v Speaker 3>and those medical programs aren't cheap and seeing physicians and treatment.

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<v Speaker 3>So Congress has a responsibility to care for the victims,

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<v Speaker 3>not just from that day, but the victims that we're

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<v Speaker 3>seeing now. And so I would I would ask Congress

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<v Speaker 3>for our families and our future, your families who are

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<v Speaker 3>suffering from from nine to eleven cancer, to to continue

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<v Speaker 3>to help those families.

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<v Speaker 2>What motivates you to keep serving? As Jess mentioned, you

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<v Speaker 2>unretired after nearly forty years with the FDNY, and I

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<v Speaker 2>think a lot of people in your position would would say, hey,

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<v Speaker 2>that was that was a great career. A lot of

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<v Speaker 2>people probably said to you, that was a great career.

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<v Speaker 3>I like the term unretired. It's actually fun being unretired,

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<v Speaker 3>going back and looking at new challenges and looking at

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<v Speaker 3>the complexity. So we have to deal with and bringing

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<v Speaker 3>together our experienced people and our young people coming in

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<v Speaker 3>and saying Okay, we can do this together. We can

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<v Speaker 3>protect the city. We can deal with new challenges, new disasters,

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<v Speaker 3>and we can do it together. Which is the secret.

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<v Speaker 3>And it's not just with an FD and Y. I

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<v Speaker 3>work closely with NYPD and emergency management and the city

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<v Speaker 3>should be proud. There's some good people serving New York City.

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<v Speaker 2>Well, Chief Ffiffer, thank you so much for joining us.

0:16:26.920 --> 0:16:28.280
<v Speaker 2>Really appreciate you taking the time.

0:16:29.160 --> 0:16:32.720
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:16:32.760 --> 0:16:36.239
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:16:36.000 --> 0:16:39.480
<v Speaker 6>On Bloomberg dot com, the iHeartRadio app, and the Bloomberg

0:16:39.520 --> 0:16:42.200
<v Speaker 6>Business App, or watch us live on YouTube.

0:16:43.560 --> 0:16:47.400
<v Speaker 2>America's pre trial detention system is actually a global outlier.

0:16:47.800 --> 0:16:49.960
<v Speaker 2>It's set apart by an emphasis on cash bill and

0:16:50.000 --> 0:16:52.880
<v Speaker 2>the for profit infrastructure that supports it. So if you

0:16:52.920 --> 0:16:55.040
<v Speaker 2>can't afford your bail, a company in the two billion

0:16:55.080 --> 0:16:57.520
<v Speaker 2>dollar commercial bailbond industry will cover it for a fee.

0:16:57.920 --> 0:17:00.280
<v Speaker 2>And if you don't qualify for bail bonds or can't

0:17:00.320 --> 0:17:03.160
<v Speaker 2>afford them, you go to jail. You eight months or

0:17:03.200 --> 0:17:06.800
<v Speaker 2>even years for a trial. Sarah Holder and Fulla Kenne

0:17:06.840 --> 0:17:09.399
<v Speaker 2>Bey their City Lab reporters here at Bloomberg News. Fuller

0:17:09.440 --> 0:17:12.199
<v Speaker 2>and Sarah writing about the success and challenges of New

0:17:12.280 --> 0:17:15.040
<v Speaker 2>York City's supervised release program and the current issue of

0:17:15.080 --> 0:17:18.119
<v Speaker 2>Bloomberg BusinessWeek. It's the annual Cities double issue. It's on

0:17:18.160 --> 0:17:20.960
<v Speaker 2>newsstands now, it's online at Bloomberg dot com, Slash BusinessWeek,

0:17:21.040 --> 0:17:23.280
<v Speaker 2>and it's on the Bloomberg terminal. Full is here in

0:17:23.320 --> 0:17:25.720
<v Speaker 2>the studio. Sarah's on zoom in New York. Also here

0:17:25.760 --> 0:17:28.560
<v Speaker 2>the editor of Bloomberg BusinessWeek, Joel Webber, in our Bloomberg

0:17:28.600 --> 0:17:32.040
<v Speaker 2>Interactive at Brokers Studio. Joel, good to have you with us.

0:17:32.320 --> 0:17:36.159
<v Speaker 2>The supervised release program here in New York City. I

0:17:36.160 --> 0:17:38.280
<v Speaker 2>can't really call it experimental anymore.

0:17:38.359 --> 0:17:40.199
<v Speaker 7>I didn't know about it, though, Did you know about it?

0:17:40.240 --> 0:17:42.879
<v Speaker 2>I had heard of it, okay, in terms of you

0:17:42.880 --> 0:17:45.720
<v Speaker 2>know when we voted for it, yeah, but or voted

0:17:45.720 --> 0:17:48.680
<v Speaker 2>against it, depending on how people voted. But I didn't

0:17:48.720 --> 0:17:50.280
<v Speaker 2>know about the successes and failures of it.

0:17:50.480 --> 0:17:52.199
<v Speaker 8>So one of the things as we were kind of

0:17:52.200 --> 0:17:54.680
<v Speaker 8>putting together the city's issue, we really wanted to take

0:17:54.760 --> 0:17:58.959
<v Speaker 8>like this, look at where cities are three plus years

0:17:59.000 --> 0:18:04.560
<v Speaker 8>after the pandemic, and this idea from Fulla and Sarah

0:18:04.600 --> 0:18:06.840
<v Speaker 8>I thought was a really interesting way to talk about

0:18:07.840 --> 0:18:11.200
<v Speaker 8>criminal justice and this experiment that's happened in New York

0:18:11.800 --> 0:18:15.960
<v Speaker 8>that I think has been worthy of more national attention

0:18:16.200 --> 0:18:20.320
<v Speaker 8>than it's perhaps received, and as you mentioned, us huge

0:18:20.359 --> 0:18:26.600
<v Speaker 8>outlier in terms of incarceration numbers. What the program has

0:18:26.640 --> 0:18:32.120
<v Speaker 8>shown is this interesting success already. And part of this

0:18:32.200 --> 0:18:35.960
<v Speaker 8>is the burden that is put on people who are

0:18:36.000 --> 0:18:38.760
<v Speaker 8>and it's until proven guilty, but they cannot be on

0:18:38.800 --> 0:18:42.440
<v Speaker 8>the street unless they have money for bail. And this

0:18:42.640 --> 0:18:46.840
<v Speaker 8>has really challenged that assumption. And Fulla talk to us

0:18:46.840 --> 0:18:52.920
<v Speaker 8>about who are the instrumental people who are helping make

0:18:52.960 --> 0:18:53.880
<v Speaker 8>this pilot a thing.

0:18:54.119 --> 0:18:57.760
<v Speaker 9>Thanks Joil, and so I guess, first of all, the

0:18:57.840 --> 0:19:03.400
<v Speaker 9>jail system in the US have been it's greatly expanded

0:19:03.440 --> 0:19:05.760
<v Speaker 9>since the seventies and so there are four times as

0:19:05.840 --> 0:19:07.440
<v Speaker 9>many people behind bars.

0:19:07.240 --> 0:19:09.879
<v Speaker 5>Pre trial on four times four times and pre trial.

0:19:09.720 --> 0:19:13.320
<v Speaker 9>Yeah, pre trial, so so you know, accused but not

0:19:13.400 --> 0:19:16.440
<v Speaker 9>convictive of any crime than there were in the seventies.

0:19:16.920 --> 0:19:21.399
<v Speaker 9>And so these systems have sprung up in jurisdictions across

0:19:21.400 --> 0:19:23.440
<v Speaker 9>the US, New York having one of the most expansive

0:19:23.480 --> 0:19:27.320
<v Speaker 9>ones to address this ballooning population of folks that are

0:19:27.359 --> 0:19:30.480
<v Speaker 9>being held before they've been convicted. And so here in

0:19:30.520 --> 0:19:34.440
<v Speaker 9>New York we have this supervised Release program. And so

0:19:35.000 --> 0:19:38.440
<v Speaker 9>each borough has a provider, well Brooklyn shares Brooklyn and

0:19:38.440 --> 0:19:41.800
<v Speaker 9>Staten Island share provider. But basically the intend is to

0:19:42.920 --> 0:19:46.080
<v Speaker 9>divert people from jail and keep them from having to

0:19:46.119 --> 0:19:51.520
<v Speaker 9>pay bail that in many cases they can afford, and

0:19:52.240 --> 0:19:55.760
<v Speaker 9>instead give them programming, give them, you know, job interview,

0:19:55.800 --> 0:19:59.840
<v Speaker 9>help give them access to housing, give them access to food,

0:20:00.040 --> 0:20:01.760
<v Speaker 9>and give them access to things that they need to

0:20:02.560 --> 0:20:04.560
<v Speaker 9>ensure that they don't end up back in front of

0:20:04.560 --> 0:20:07.879
<v Speaker 9>a judge or back you know, in the criminal legal system.

0:20:08.040 --> 0:20:10.560
<v Speaker 9>And so that's sort of what this program sprung about

0:20:10.600 --> 0:20:13.400
<v Speaker 9>of and it's what it's meant to address to keep

0:20:13.400 --> 0:20:16.680
<v Speaker 9>people out of jail. I note that twenty seven people

0:20:16.720 --> 0:20:19.280
<v Speaker 9>have died at Rikers since the beginning of twenty twenty two.

0:20:19.320 --> 0:20:25.120
<v Speaker 2>And just so our listeners and viewers know, Rikers here

0:20:25.160 --> 0:20:26.800
<v Speaker 2>in New York is a place where people are held,

0:20:26.840 --> 0:20:27.800
<v Speaker 2>a pre trial place.

0:20:27.840 --> 0:20:28.000
<v Speaker 10>Yes.

0:20:28.200 --> 0:20:29.920
<v Speaker 2>Yes, it's just like people who are waiting trial.

0:20:29.920 --> 0:20:32.080
<v Speaker 9>People who are waiting trial. Most of them, I think,

0:20:32.119 --> 0:20:32.880
<v Speaker 9>like ninety percent.

0:20:32.720 --> 0:20:35.240
<v Speaker 4>Of the folks were I want to bring Sarah into

0:20:35.280 --> 0:20:38.399
<v Speaker 4>this conversation to get your insight on also the politics

0:20:38.400 --> 0:20:41.440
<v Speaker 4>when it comes to letting people walk through, walk us through,

0:20:41.600 --> 0:20:43.720
<v Speaker 4>as far as what the issues are there and the

0:20:43.760 --> 0:20:45.080
<v Speaker 4>politics behind that.

0:20:45.680 --> 0:20:50.639
<v Speaker 11>Yeah, I mean, bail reform as a policy change has

0:20:51.800 --> 0:20:54.440
<v Speaker 11>you know, attracted a lot of attention nationwide. It's kind

0:20:54.440 --> 0:20:57.159
<v Speaker 11>of a new boogeyman. After the defund the police movement,

0:20:57.400 --> 0:21:00.359
<v Speaker 11>people were talking about sort of diverting funds from police

0:21:00.400 --> 0:21:03.679
<v Speaker 11>departments and reforming the practices of police. Now we're talking

0:21:03.720 --> 0:21:06.440
<v Speaker 11>more broadly about the criminal legal system that fulla laid

0:21:06.480 --> 0:21:10.119
<v Speaker 11>out for us, trying to think about new ways to

0:21:11.400 --> 0:21:16.560
<v Speaker 11>hold people responsible for crimes, but also sort of understand

0:21:16.600 --> 0:21:20.159
<v Speaker 11>that the current system as it is right now, lets

0:21:20.240 --> 0:21:22.920
<v Speaker 11>people who have the means walk free while others who

0:21:22.920 --> 0:21:25.200
<v Speaker 11>do not have the means who are just as innocent

0:21:25.240 --> 0:21:28.840
<v Speaker 11>before proven guilty have to go to places like Rikers.

0:21:28.920 --> 0:21:32.240
<v Speaker 11>So bail reform as a national movement has been tried

0:21:32.240 --> 0:21:36.359
<v Speaker 11>in places across the US. Illinois, Washington, d C. And

0:21:36.440 --> 0:21:38.800
<v Speaker 11>New York City are trying to look at different ways

0:21:38.840 --> 0:21:44.480
<v Speaker 11>to allow people to await trial outside of jails like Wrigers.

0:21:45.359 --> 0:21:51.040
<v Speaker 11>But obviously politicians that engage and try to exert these

0:21:51.080 --> 0:21:54.120
<v Speaker 11>policy changes face a lot of political tax It's a

0:21:54.160 --> 0:21:57.959
<v Speaker 11>hot button issue across the left and the right, and

0:21:58.040 --> 0:22:00.440
<v Speaker 11>so programs like this are kind of trying to actually

0:22:00.760 --> 0:22:03.880
<v Speaker 11>set up the infrastructure in place for cities that take

0:22:03.920 --> 0:22:07.080
<v Speaker 11>on this politically fraught challenge of bail reform, like what

0:22:07.720 --> 0:22:10.960
<v Speaker 11>do people who are no longer eligible for bail?

0:22:11.720 --> 0:22:12.320
<v Speaker 12>What do they do?

0:22:13.000 --> 0:22:16.960
<v Speaker 11>And so Supervisor releases sort of like a programming change

0:22:17.000 --> 0:22:21.240
<v Speaker 11>that attacks this or addresses this more political church political issue.

0:22:21.280 --> 0:22:24.439
<v Speaker 11>And Fuller can talk a little bit more about, you

0:22:24.440 --> 0:22:26.960
<v Speaker 11>know what politicians face when they do take on bill reform.

0:22:27.040 --> 0:22:29.440
<v Speaker 8>Well, before we let him do that, let's talk about

0:22:29.440 --> 0:22:32.639
<v Speaker 8>what this looks like in practice. And there's a character

0:22:32.680 --> 0:22:37.600
<v Speaker 8>in the story, Kevin, which is a pseudonym, But let's

0:22:37.600 --> 0:22:42.080
<v Speaker 8>talk about what Kevin faced and how the program affected

0:22:42.160 --> 0:22:43.119
<v Speaker 8>him personally.

0:22:43.680 --> 0:22:47.080
<v Speaker 9>Yeah, So, at a basic level, when you're arrested in

0:22:47.080 --> 0:22:51.640
<v Speaker 9>New York City, your process, your booked, and then eventually,

0:22:51.920 --> 0:22:54.160
<v Speaker 9>usually after twenty four hours or so, you're in front

0:22:54.200 --> 0:22:57.280
<v Speaker 9>of a judge. And you know, in reporting out of

0:22:57.280 --> 0:22:58.680
<v Speaker 9>the story, Sarah and I spent a lot of time

0:22:58.720 --> 0:23:01.520
<v Speaker 9>in court watching watch these arraiements, watching this happen, right,

0:23:01.560 --> 0:23:04.760
<v Speaker 9>and and and these these hearings take You wouldn't guess

0:23:04.760 --> 0:23:06.600
<v Speaker 9>five minutes no matter what their charges are. And so

0:23:07.320 --> 0:23:09.280
<v Speaker 9>at that point a judge is going to decide, well,

0:23:09.320 --> 0:23:10.919
<v Speaker 9>are you going to get bail or are they going

0:23:10.960 --> 0:23:12.920
<v Speaker 9>to release you and say come back to your coordinate,

0:23:13.000 --> 0:23:13.720
<v Speaker 9>or are they going to.

0:23:13.640 --> 0:23:14.639
<v Speaker 5>Give you supervised release.

0:23:14.760 --> 0:23:16.600
<v Speaker 9>And so, once you're diverted to a program like this,

0:23:17.160 --> 0:23:20.000
<v Speaker 9>someone like Kevin is is being connected with a social

0:23:20.040 --> 0:23:23.159
<v Speaker 9>worker immediately and they'll have to meet. Depending on the

0:23:23.160 --> 0:23:26.680
<v Speaker 9>severity of the charges, they'll have to meet a certain

0:23:26.760 --> 0:23:29.160
<v Speaker 9>number of times a month. For him, it's it's four

0:23:29.160 --> 0:23:34.080
<v Speaker 9>times a month, and essentially it looks like a therapy session.

0:23:34.960 --> 0:23:37.360
<v Speaker 9>You know, he talks to his caseworker about issues he's

0:23:37.359 --> 0:23:39.600
<v Speaker 9>facing and what he's trying to do. He's looking for

0:23:39.600 --> 0:23:42.160
<v Speaker 9>a job maybe, or he's looking for you know, help

0:23:42.200 --> 0:23:44.920
<v Speaker 9>finding housing, and they hook him up with with services

0:23:44.960 --> 0:23:47.920
<v Speaker 9>and and and so in his life it's it's helped him.

0:23:48.040 --> 0:23:50.240
<v Speaker 9>It's helped connect him with services, helped get him a job,

0:23:50.240 --> 0:23:52.520
<v Speaker 9>and help, you know, make him feel help helped him

0:23:52.560 --> 0:23:55.280
<v Speaker 9>navigate the system that can be so complicated.

0:23:54.920 --> 0:23:57.320
<v Speaker 8>Even you know, one of the most interesting things I

0:23:57.359 --> 0:24:03.760
<v Speaker 8>thought was reminded of is the economic toll that being

0:24:03.800 --> 0:24:06.520
<v Speaker 8>in jail and not being able to afford bail actually is.

0:24:06.720 --> 0:24:09.240
<v Speaker 8>Talk about what Kevin based on that front.

0:24:09.640 --> 0:24:12.440
<v Speaker 9>So when he was standing in front of the judge

0:24:12.640 --> 0:24:16.040
<v Speaker 9>waiting to hear what his fate would be, you know,

0:24:17.080 --> 0:24:19.639
<v Speaker 9>city prosecutors had asked for a million dollars bail, and

0:24:19.680 --> 0:24:23.840
<v Speaker 9>that's something he could never could never afford or can

0:24:23.880 --> 0:24:26.639
<v Speaker 9>never pay. And so this program allowed for another way, right,

0:24:26.760 --> 0:24:28.120
<v Speaker 9>sort of a midway.

0:24:28.160 --> 0:24:28.320
<v Speaker 5>Right.

0:24:28.359 --> 0:24:31.639
<v Speaker 9>They don't have to let him go walk free, or

0:24:31.760 --> 0:24:33.479
<v Speaker 9>they're not letting him walk free, but they're also not

0:24:33.520 --> 0:24:35.960
<v Speaker 9>going to make him go to Rikers, right, And so

0:24:36.400 --> 0:24:38.280
<v Speaker 9>he's able to do this programming. He's able to still

0:24:38.320 --> 0:24:41.720
<v Speaker 9>go home, but he has this responsibility to come and

0:24:42.040 --> 0:24:46.399
<v Speaker 9>participate in supervise release and he's been going he'do weekly

0:24:46.440 --> 0:24:48.840
<v Speaker 9>for six months as his case winds to the system.

0:24:48.880 --> 0:24:51.440
<v Speaker 9>That's six months he would have spent in rikers.

0:24:51.280 --> 0:24:54.880
<v Speaker 2>It's incredible that story full on its own. But Sarah,

0:24:54.880 --> 0:24:56.240
<v Speaker 2>I want to bring you back in here and talk

0:24:56.280 --> 0:24:59.760
<v Speaker 2>about how the city and advocates for this measure success

0:25:00.280 --> 0:25:02.000
<v Speaker 2>on the larger term. How do we know if it's

0:25:02.040 --> 0:25:03.879
<v Speaker 2>successful here in New York City.

0:25:05.320 --> 0:25:07.680
<v Speaker 11>Yeah, I mean it's a really interesting question. I think

0:25:07.720 --> 0:25:11.320
<v Speaker 11>case workers are grappling with that as well. Like one

0:25:11.359 --> 0:25:17.000
<v Speaker 11>of the biggest takeaways, like when we were at arraignment's court,

0:25:17.160 --> 0:25:19.439
<v Speaker 11>was that people were not getting sent to rikers and

0:25:19.440 --> 0:25:21.480
<v Speaker 11>they were getting sent to supervis release. And I think

0:25:21.480 --> 0:25:24.160
<v Speaker 11>for caseworkers that's a measure of success. You know, are

0:25:24.200 --> 0:25:28.120
<v Speaker 11>you diverting one more person away from that notorious jail.

0:25:28.160 --> 0:25:31.560
<v Speaker 11>And we saw, as you know, sometimes prosecutors would ask

0:25:31.600 --> 0:25:34.439
<v Speaker 11>for a million dollars bail or we saw, you know,

0:25:34.520 --> 0:25:38.320
<v Speaker 11>even fifteen thousand dollars bill something that defendants just could

0:25:38.320 --> 0:25:41.960
<v Speaker 11>not pay. And we saw judges and public defenders and

0:25:42.000 --> 0:25:45.400
<v Speaker 11>even prosecutors in some instances say, you know, why don't

0:25:45.400 --> 0:25:47.600
<v Speaker 11>we do supervisor release instead? This person is not a

0:25:47.600 --> 0:25:50.280
<v Speaker 11>flight risk, they will return to court. So we saw

0:25:50.280 --> 0:25:53.680
<v Speaker 11>in real time people getting diverted from from wrekers. So

0:25:53.720 --> 0:25:56.399
<v Speaker 11>that's one measure of success. Another is how many times

0:25:56.400 --> 0:25:59.000
<v Speaker 11>people are showing up for court again. You know, places

0:25:59.000 --> 0:26:02.040
<v Speaker 11>like DC seen you know, people release pre trial come

0:26:02.080 --> 0:26:03.760
<v Speaker 11>back to court, you know, more than eighty percent of

0:26:03.760 --> 0:26:04.160
<v Speaker 11>the time.

0:26:04.480 --> 0:26:05.320
<v Speaker 2>And that's that's.

0:26:05.200 --> 0:26:07.159
<v Speaker 11>Really what bill is supposed to do. It's supposed to

0:26:07.480 --> 0:26:09.600
<v Speaker 11>ensure that people, you know, face their day in court

0:26:09.640 --> 0:26:12.920
<v Speaker 11>and don't disappear. Supervised release is another way of making

0:26:12.960 --> 0:26:14.760
<v Speaker 11>sure that people do that, that they show back up.

0:26:15.320 --> 0:26:18.240
<v Speaker 11>And then another way of thinking about this is whether

0:26:18.280 --> 0:26:21.280
<v Speaker 11>people are getting re arrested while they're awaiting their day

0:26:21.280 --> 0:26:24.760
<v Speaker 11>in court. You know, people out on supervised release in

0:26:24.800 --> 0:26:27.240
<v Speaker 11>the city get re arrested less than ten percent of

0:26:27.280 --> 0:26:29.679
<v Speaker 11>the time, less than two percent of the time for

0:26:29.720 --> 0:26:33.639
<v Speaker 11>a violent felony. And you know, people are looking at

0:26:33.640 --> 0:26:36.119
<v Speaker 11>those numbers and trying to understand how to get those

0:26:36.200 --> 0:26:38.640
<v Speaker 11>even lower and how to work with some folks who

0:26:38.680 --> 0:26:43.160
<v Speaker 11>are recommitting violent acts or even other offenses and giving

0:26:43.160 --> 0:26:46.040
<v Speaker 11>them a lot more attention within this program.

0:26:46.280 --> 0:26:48.640
<v Speaker 4>Hey full of Something I'm curious about is how does

0:26:48.680 --> 0:26:51.320
<v Speaker 4>the approach when it comes to the US differ than

0:26:51.440 --> 0:26:53.680
<v Speaker 4>what typically is seen more internationally.

0:26:54.480 --> 0:26:56.520
<v Speaker 9>So in other jurisdictions I mean, cash bi able are

0:26:56.520 --> 0:26:59.320
<v Speaker 9>seen as a last resort. I mean the UK and Canada,

0:26:59.400 --> 0:27:03.040
<v Speaker 9>and in the EU cash bail is sort of like

0:27:03.040 --> 0:27:07.240
<v Speaker 9>the last last resort, and bail bondser illegal in most jurisdictions.

0:27:07.240 --> 0:27:09.119
<v Speaker 9>I think it's just the US and I believe the

0:27:09.160 --> 0:27:10.120
<v Speaker 9>Philippines that.

0:27:10.119 --> 0:27:12.320
<v Speaker 4>Allow the US being more of an outlier.

0:27:12.359 --> 0:27:15.760
<v Speaker 9>Clearly, the US is definitely an outlier, but New York

0:27:16.000 --> 0:27:18.959
<v Speaker 9>is also not totally an outlier, right, Like there is

0:27:19.520 --> 0:27:22.280
<v Speaker 9>It's not like I want to get in the politics

0:27:22.280 --> 0:27:25.280
<v Speaker 9>of this still, but like, who else is following New

0:27:25.359 --> 0:27:26.120
<v Speaker 9>York's lead here?

0:27:26.240 --> 0:27:28.960
<v Speaker 8>And where else should we be watching to see what

0:27:29.000 --> 0:27:31.199
<v Speaker 8>the programs how those programs unfold.

0:27:31.359 --> 0:27:33.560
<v Speaker 9>So there are quite a few jurisdictions, or I guess

0:27:33.600 --> 0:27:35.560
<v Speaker 9>not quite a few, but there are some jurisdictions that

0:27:35.600 --> 0:27:38.399
<v Speaker 9>are trying to address the same issue, right trying to

0:27:38.440 --> 0:27:42.520
<v Speaker 9>reduce geo populations. Because we have to remember that jailing

0:27:42.520 --> 0:27:46.240
<v Speaker 9>people is expensive for a jurisdiction, For municipality, what's the

0:27:46.240 --> 0:27:48.280
<v Speaker 9>cost of New York. In New York, it's like fifteen

0:27:48.359 --> 0:27:50.600
<v Speaker 9>hundred a day. I think per person, and so I

0:27:50.600 --> 0:27:55.400
<v Speaker 9>mean it's pricey. Yeah, it's like a I think it's

0:27:55.880 --> 0:27:57.720
<v Speaker 9>sort of like a college tuition or something like that. Right,

0:27:57.760 --> 0:28:02.240
<v Speaker 9>Like you're talking about annually jailing people, and so there's

0:28:02.000 --> 0:28:04.800
<v Speaker 9>a there's an extreme cost for municipalities and then on

0:28:04.840 --> 0:28:06.720
<v Speaker 9>the other hand, there's an extreme cost for the folks

0:28:06.760 --> 0:28:08.720
<v Speaker 9>who are going to jail. Right, you're not working, you're

0:28:08.720 --> 0:28:11.960
<v Speaker 9>not paying rent, you're not you know, watching your kids,

0:28:11.960 --> 0:28:13.359
<v Speaker 9>you're not you're not doing all of these things that

0:28:13.520 --> 0:28:16.000
<v Speaker 9>contribute to society as well.

0:28:16.160 --> 0:28:17.880
<v Speaker 5>And so there are those costs.

0:28:18.040 --> 0:28:20.920
<v Speaker 8>Okay, So I said, we talked about the politics. Let's

0:28:20.920 --> 0:28:21.840
<v Speaker 8>talk about the politics.

0:28:21.960 --> 0:28:23.840
<v Speaker 2>What's the city line on this?

0:28:24.000 --> 0:28:26.120
<v Speaker 8>And what about where the state comes in?

0:28:26.440 --> 0:28:29.080
<v Speaker 9>So this is a city it's a city funded program, right,

0:28:29.160 --> 0:28:31.520
<v Speaker 9>So the city spends about sixty seven million dollars a

0:28:31.600 --> 0:28:33.679
<v Speaker 9>year on this and in the last budget cycle we

0:28:33.760 --> 0:28:36.960
<v Speaker 9>saw more money set aside for this program.

0:28:37.160 --> 0:28:38.720
<v Speaker 2>Is that a lot of money or not a lot

0:28:38.720 --> 0:28:39.080
<v Speaker 2>of money?

0:28:39.080 --> 0:28:42.320
<v Speaker 5>It's more than the pre K. Wow.

0:28:43.520 --> 0:28:46.240
<v Speaker 2>As we reported before, I will be off Thursday taking

0:28:46.240 --> 0:28:48.880
<v Speaker 2>my son his first day pre K. So you did

0:28:48.880 --> 0:28:50.920
<v Speaker 2>the great story on pre K earlier this year about

0:28:51.240 --> 0:28:53.520
<v Speaker 2>Eric Adams not providing funding to those PreK centers.

0:28:53.600 --> 0:28:55.320
<v Speaker 9>And so I guess in the grand scheme of thing,

0:28:55.360 --> 0:28:57.520
<v Speaker 9>the New York City budget is one hundred and seven

0:28:57.560 --> 0:29:00.239
<v Speaker 9>million dollars, so it's not that much money, but it

0:29:00.280 --> 0:29:02.000
<v Speaker 9>is for a program like this, quite a bit of it.

0:29:02.360 --> 0:29:03.680
<v Speaker 9>It's quite a quite an investment.

0:29:04.080 --> 0:29:06.400
<v Speaker 8>And just keep in mind and also the economic side

0:29:06.400 --> 0:29:09.280
<v Speaker 8>of this, right, like instead of paying fifteen hundred dollars

0:29:09.320 --> 0:29:13.600
<v Speaker 8>per person per day, we're allowing those same people who

0:29:14.040 --> 0:29:14.400
<v Speaker 8>you know.

0:29:14.920 --> 0:29:16.640
<v Speaker 5>Might not be even violent.

0:29:16.280 --> 0:29:20.560
<v Speaker 8>Offenders to basically like be able to be having you know,

0:29:20.680 --> 0:29:23.840
<v Speaker 8>keep their normal the feeling right, and be in their community.

0:29:24.000 --> 0:29:28.000
<v Speaker 8>So I think it's really interesting. So what about the

0:29:28.800 --> 0:29:34.240
<v Speaker 8>how does how do other jurisdictions? How is this going

0:29:34.280 --> 0:29:35.360
<v Speaker 8>over elsewhere?

0:29:35.440 --> 0:29:35.600
<v Speaker 5>Right?

0:29:35.640 --> 0:29:39.080
<v Speaker 8>Because clearly we brought up to defund the police as

0:29:39.080 --> 0:29:42.600
<v Speaker 8>a talking point, like this is a charged idea because

0:29:43.000 --> 0:29:46.560
<v Speaker 8>it goes against some conventional, long standing wisdom.

0:29:46.600 --> 0:29:49.120
<v Speaker 9>Definitely, And I think the New York City program is

0:29:49.120 --> 0:29:51.400
<v Speaker 9>a great example of of the challenges that programs like

0:29:51.440 --> 0:29:55.120
<v Speaker 9>these fates. Right, Like, on one end, the program seems

0:29:55.120 --> 0:29:57.760
<v Speaker 9>to be working and it seems like it's it's getting support, right,

0:29:57.760 --> 0:30:01.360
<v Speaker 9>and so it's ramped up and so the caseworkers have

0:30:01.440 --> 0:30:02.080
<v Speaker 9>a ton of cases.

0:30:02.160 --> 0:30:02.280
<v Speaker 5>Right.

0:30:02.280 --> 0:30:04.760
<v Speaker 9>We've met some people that have seventy cases on their plate.

0:30:05.440 --> 0:30:07.440
<v Speaker 9>On the other hand, they have to worry about the

0:30:07.440 --> 0:30:09.560
<v Speaker 9>politics of this, right like New York has rolled back.

0:30:09.680 --> 0:30:12.960
<v Speaker 9>New York State has rolled back it's bail reforms, I

0:30:12.960 --> 0:30:14.120
<v Speaker 9>think three times at this point.

0:30:14.200 --> 0:30:14.360
<v Speaker 5>Right.

0:30:15.000 --> 0:30:18.480
<v Speaker 9>In other jurisdictions, we've seen campaign ads sort of demonizing

0:30:18.520 --> 0:30:21.520
<v Speaker 9>bail reform leaves out in last year, ran ads right

0:30:21.720 --> 0:30:24.360
<v Speaker 9>saying that he would, you know, reverse the bail laws.

0:30:24.360 --> 0:30:27.280
<v Speaker 9>And so the politics of this are fraud to say

0:30:27.280 --> 0:30:30.440
<v Speaker 9>the least. And we see this in juristictions across country.

0:30:30.560 --> 0:30:34.760
<v Speaker 2>Full of fantastic story, Sarah, A great story. Sarah Holder,

0:30:34.800 --> 0:30:38.200
<v Speaker 2>city Lab reporter at Bloomberg News, on the phone from

0:30:38.240 --> 0:30:41.000
<v Speaker 2>our bureau. Full of Kenneby, city Lab reporter here at

0:30:41.000 --> 0:30:43.200
<v Speaker 2>Bloomberg News with us in the Bloomberg INTERACTI Brokers Studio,

0:30:43.200 --> 0:30:45.280
<v Speaker 2>along with Joe Webber, the editor of Bloomberg BusinessWeek. This

0:30:45.280 --> 0:30:47.440
<v Speaker 2>story and more in the City's issue, the Double Issue

0:30:47.480 --> 0:30:48.280
<v Speaker 2>a business Week.

0:30:55.600 --> 0:30:59.200
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:30:59.200 --> 0:31:02.280
<v Speaker 1>live afternoons from three to six Eastern.

0:31:02.120 --> 0:31:05.680
<v Speaker 6>On Bloomberg Radio. The Bloomberg Business app and YouTube.

0:31:05.800 --> 0:31:08.640
<v Speaker 1>You can also listen live on Amazon Alexa from our

0:31:08.680 --> 0:31:13.160
<v Speaker 1>flagship New York station, Jo Say Alexa play Bloomberg eleven thirty.

0:31:15.040 --> 0:31:17.120
<v Speaker 12>There was a story if you saw this tim by

0:31:17.120 --> 0:31:19.240
<v Speaker 12>our Ed Ludlow. It was about how to start it

0:31:19.280 --> 0:31:21.160
<v Speaker 12>back by Microsoft, you know, the company that got us

0:31:21.160 --> 0:31:23.520
<v Speaker 12>all nuts about next level AI.

0:31:23.680 --> 0:31:26.040
<v Speaker 2>Yeah, I think in videos I'm milcha, you know, hey,

0:31:26.080 --> 0:31:27.160
<v Speaker 2>thank you exactly.

0:31:27.960 --> 0:31:30.640
<v Speaker 12>Well, we're talking about open AI and notes how it's

0:31:30.640 --> 0:31:32.959
<v Speaker 12>on track for one billion dollars of annual revenue as

0:31:33.000 --> 0:31:36.520
<v Speaker 12>businesses adopt the technology behind chat ChiPT, which is the

0:31:36.600 --> 0:31:39.920
<v Speaker 12>generative AI bot. You know this that ignited that wave

0:31:39.960 --> 0:31:43.160
<v Speaker 12>of artificial intelligence investment, I mean, and just set us

0:31:43.200 --> 0:31:44.600
<v Speaker 12>all off and running.

0:31:45.120 --> 0:31:47.760
<v Speaker 2>Yeah, especially those in video shareholders.

0:31:47.960 --> 0:31:49.600
<v Speaker 12>Yeah. Yeah, it's all pretty good.

0:31:49.680 --> 0:31:51.600
<v Speaker 2>Yeah, with some thoughts on AI and what it means

0:31:51.640 --> 0:31:53.520
<v Speaker 2>to our workflow and our world with us as the

0:31:53.560 --> 0:31:57.600
<v Speaker 2>CEO and founder of Creatio, Katherine Costa Riva. Good to

0:31:57.640 --> 0:32:00.560
<v Speaker 2>have you with us, Catherine. Creatio is a CVRM. It's

0:32:00.560 --> 0:32:05.240
<v Speaker 2>a customer relationship manager and it sells software that automates workflows.

0:32:05.480 --> 0:32:08.360
<v Speaker 2>Catherine joins us on Zoom from Boston. When I hear CRM,

0:32:08.400 --> 0:32:10.400
<v Speaker 2>I think Salesforce, So talk to us a little bit

0:32:10.440 --> 0:32:13.200
<v Speaker 2>about what you do that's different than Salesforce, especially as

0:32:13.200 --> 0:32:15.360
<v Speaker 2>Salesforce comes out with their numbers today and says, you know,

0:32:15.400 --> 0:32:16.480
<v Speaker 2>we're going all in on AI.

0:32:17.640 --> 0:32:21.280
<v Speaker 13>Yes, happy to what Creation does. We're doing no code platforms.

0:32:21.320 --> 0:32:23.360
<v Speaker 13>So this is a little bit different type of software,

0:32:24.240 --> 0:32:28.240
<v Speaker 13>the no code platform for workflow automation and CRM off

0:32:28.280 --> 0:32:30.880
<v Speaker 13>top of it. But the whole idea of Creation is

0:32:30.920 --> 0:32:35.080
<v Speaker 13>actually no code capabilities to automate workflow not being a

0:32:35.080 --> 0:32:40.600
<v Speaker 13>professional software developer. Let me share some numbers with you.

0:32:40.840 --> 0:32:43.440
<v Speaker 12>Point, but break that down. Before we share numbers, what

0:32:43.480 --> 0:32:45.240
<v Speaker 12>does that mean no code?

0:32:45.320 --> 0:32:47.680
<v Speaker 13>Yeah, for that was exactly what I want to do. Yes,

0:32:48.800 --> 0:32:52.760
<v Speaker 13>these numbers will explain what no code actually means. In

0:32:52.800 --> 0:32:57.080
<v Speaker 13>the world, there are twenty five million software developers. The

0:32:57.160 --> 0:33:02.120
<v Speaker 13>demand for workflow automation today, Carol is five hundred million

0:33:02.520 --> 0:33:06.520
<v Speaker 13>apps in the world. There are one point seven billion

0:33:06.720 --> 0:33:11.440
<v Speaker 13>knowledge workers who can easily use the new code platform

0:33:11.520 --> 0:33:14.880
<v Speaker 13>to automate those apps. Because the mass is very clear,

0:33:15.280 --> 0:33:19.440
<v Speaker 13>twenty five million software developers is not enough to automate

0:33:19.720 --> 0:33:24.160
<v Speaker 13>five hundred million apps, which is a demand for enterprise

0:33:24.440 --> 0:33:28.360
<v Speaker 13>workflow automation today. So what Creation does and what no

0:33:28.440 --> 0:33:32.080
<v Speaker 13>code platforms in general? What they do They give tools

0:33:32.120 --> 0:33:36.840
<v Speaker 13>to those one point seven billion knowledge workers to build

0:33:36.960 --> 0:33:42.360
<v Speaker 13>and automate their own workflows like CRM like Customer Relationship management,

0:33:42.440 --> 0:33:46.880
<v Speaker 13>so CRM like sales automation, marketing automation, service automation. This

0:33:47.040 --> 0:33:51.040
<v Speaker 13>is just an example of the workflows in the companies

0:33:51.160 --> 0:33:55.840
<v Speaker 13>in different enterprises that can be automated with no code platforms.

0:33:55.960 --> 0:33:58.240
<v Speaker 13>So this is the big think about it, Like like

0:33:58.320 --> 0:34:02.320
<v Speaker 13>a Minecraft. You all know Minecraft, That's that's a popular game.

0:34:03.560 --> 0:34:08.160
<v Speaker 13>All kids in the worldplay Minecraft. Just just think about Minecraft.

0:34:08.560 --> 0:34:12.240
<v Speaker 13>But in the world of enterprise software, when you design

0:34:12.400 --> 0:34:16.839
<v Speaker 13>and build your own software, your own workflows, not being

0:34:16.880 --> 0:34:18.960
<v Speaker 13>a professional software developer.

0:34:19.480 --> 0:34:22.040
<v Speaker 12>It sounds like why wouldn't everybody use it? So give

0:34:22.040 --> 0:34:24.719
<v Speaker 12>me an idea of the growth of your business so

0:34:24.760 --> 0:34:27.760
<v Speaker 12>that we get an idea and who who are your partners,

0:34:27.760 --> 0:34:29.680
<v Speaker 12>who are your clients, who are you working with?

0:34:30.800 --> 0:34:35.080
<v Speaker 13>Happy to happy to Creation? Despite the economic slowdown and

0:34:35.160 --> 0:34:38.600
<v Speaker 13>everything happening in the world right now, Creatio continues to

0:34:38.640 --> 0:34:43.319
<v Speaker 13>grow at fifty sixty percent. Yeah over, yeah, is that

0:34:43.440 --> 0:34:47.680
<v Speaker 13>top line? What exactly is that inn is the top line. Okay,

0:34:47.920 --> 0:34:51.440
<v Speaker 13>and you mentioned Salesforce in the beginning, so Creation is

0:34:51.520 --> 0:34:57.480
<v Speaker 13>together with Salesforce in those Gardner Magic quadrants for Salesforce automation,

0:34:57.760 --> 0:35:01.440
<v Speaker 13>like the best software for Salesforce autom for marketing automation,

0:35:01.680 --> 0:35:05.880
<v Speaker 13>service automation. Although we are a much smaller company, but

0:35:06.360 --> 0:35:10.800
<v Speaker 13>thanks to these capabilities of no code platform and ability

0:35:10.840 --> 0:35:15.000
<v Speaker 13>of our clients to automate to build their own products,

0:35:15.320 --> 0:35:19.080
<v Speaker 13>not being software developers, we see this demand from the

0:35:19.160 --> 0:35:23.000
<v Speaker 13>market and we get all the recognition from industry analysts

0:35:23.040 --> 0:35:26.840
<v Speaker 13>because this is the next era of enterprise software.

0:35:26.920 --> 0:35:29.400
<v Speaker 2>Talk a little bit about the funders, how you're supported

0:35:30.560 --> 0:35:32.120
<v Speaker 2>venture capitally you've raised.

0:35:34.160 --> 0:35:37.640
<v Speaker 13>Listen, we wouldstrap the company in twenty fourteen. We founded

0:35:37.640 --> 0:35:41.560
<v Speaker 13>the company here in Boston. We bootstrapped for many years

0:35:41.920 --> 0:35:44.080
<v Speaker 13>and then were raised caple two and a half years

0:35:44.080 --> 0:35:46.240
<v Speaker 13>ago for the first time in the history of the company.

0:35:46.480 --> 0:35:49.920
<v Speaker 13>That was a minority investment of sixty eight million dollars

0:35:50.320 --> 0:35:53.480
<v Speaker 13>and again just just to speed up, to accelerate the

0:35:53.520 --> 0:35:56.600
<v Speaker 13>growth of the company and to deliver the message of

0:35:56.960 --> 0:36:00.200
<v Speaker 13>no code to as many people in the world as possible.

0:36:00.520 --> 0:36:04.279
<v Speaker 13>I can tell you that that my my peer right

0:36:04.280 --> 0:36:06.680
<v Speaker 13>now just came to the office here here in Bossy.

0:36:06.680 --> 0:36:09.560
<v Speaker 13>He just came from his tree. Literally all over the world.

0:36:09.800 --> 0:36:12.239
<v Speaker 13>He was in Australia. We had a huge event No

0:36:12.360 --> 0:36:16.120
<v Speaker 13>Code Days Australia, then in Indonesia, then in Malaysia, then

0:36:16.160 --> 0:36:18.560
<v Speaker 13>in Dubai. So we have spread in the world and

0:36:18.800 --> 0:36:22.439
<v Speaker 13>evangelize in this new new technology. This this is new

0:36:22.480 --> 0:36:26.719
<v Speaker 13>for the enterprise software world, new technology of no code software.

0:36:26.760 --> 0:36:30.120
<v Speaker 13>And you were talking about janey I and AI in general.

0:36:30.400 --> 0:36:35.120
<v Speaker 13>That's definitely a big part of of the Creatia platform

0:36:35.480 --> 0:36:38.879
<v Speaker 13>and it does accelerate software development as well.

0:36:39.400 --> 0:36:44.560
<v Speaker 12>So you mentioned about working with salesforce, So are you

0:36:45.680 --> 0:36:49.160
<v Speaker 12>could you be at some point a company their acquisitive

0:36:49.640 --> 0:36:52.320
<v Speaker 12>that they take on and bring you into the fold.

0:36:52.400 --> 0:36:53.440
<v Speaker 12>Or is your goal to.

0:36:53.480 --> 0:36:55.200
<v Speaker 13>Kind of do it?

0:36:55.280 --> 0:36:56.840
<v Speaker 2>Is your goal to do it alone?

0:36:57.440 --> 0:36:58.279
<v Speaker 5>You go as you go?

0:36:58.760 --> 0:36:59.840
<v Speaker 12>Is your goal to do it alone?

0:36:59.840 --> 0:37:04.160
<v Speaker 13>And I'm just curious we're doing it together with our

0:37:04.320 --> 0:37:08.400
<v Speaker 13>partners all over the world system integrators. There are seven

0:37:08.520 --> 0:37:12.719
<v Speaker 13>hundred organizations in one hundred countries of the world who

0:37:12.840 --> 0:37:17.880
<v Speaker 13>evangelize Creatia as a no code platform and implement Creative

0:37:18.320 --> 0:37:22.520
<v Speaker 13>to our clients in those one hundred countries. So we're

0:37:22.520 --> 0:37:26.279
<v Speaker 13>not alone. We have amazing clients and amazing partners all

0:37:26.280 --> 0:37:30.000
<v Speaker 13>over the world. But this is just the next generation

0:37:30.120 --> 0:37:34.640
<v Speaker 13>of software. Let's talk about like, let me compare with

0:37:34.760 --> 0:37:38.560
<v Speaker 13>Salesforce twenty years ago, even more than twenty twenty five

0:37:38.680 --> 0:37:43.879
<v Speaker 13>years ago, to be precise, when Salesforce was founded, that

0:37:44.080 --> 0:37:48.480
<v Speaker 13>was a complete era of enterprise software, the cloud era, right,

0:37:48.560 --> 0:37:50.680
<v Speaker 13>You remember that time when the cloud.

0:37:50.480 --> 0:37:53.640
<v Speaker 12>Just came and so many people.

0:37:53.360 --> 0:37:56.560
<v Speaker 13>Didn't believe actually at that time that cloud is going

0:37:56.600 --> 0:38:00.279
<v Speaker 13>to be the future and all the software products will

0:38:00.320 --> 0:38:03.560
<v Speaker 13>be in the cloud. What we're building here at Creation

0:38:03.800 --> 0:38:08.280
<v Speaker 13>today is the next generation of software. We're saying that

0:38:08.640 --> 0:38:13.040
<v Speaker 13>the future of enterprise software is no code, and in

0:38:13.120 --> 0:38:16.840
<v Speaker 13>ten years from now, we're seeing that all enterprise products

0:38:17.120 --> 0:38:21.880
<v Speaker 13>will have those no code capabilities when knowledge workers without

0:38:22.000 --> 0:38:27.080
<v Speaker 13>technical skills can automate their workflows and can automate their processes.

0:38:27.400 --> 0:38:30.799
<v Speaker 13>So that's what Creature is building right now, and yes

0:38:30.920 --> 0:38:33.560
<v Speaker 13>it is. It is a new era of software, and

0:38:33.600 --> 0:38:36.160
<v Speaker 13>not so many people heard about it yet.

0:38:36.400 --> 0:38:40.640
<v Speaker 2>I'm wondering what you're hearing from the sales your own salesforce,

0:38:40.760 --> 0:38:43.320
<v Speaker 2>the folks that you have around the country, around the

0:38:43.320 --> 0:38:47.520
<v Speaker 2>world selling your product right now in terms of what

0:38:47.520 --> 0:38:49.719
<v Speaker 2>it tells you, what it tells us about the economy,

0:38:50.040 --> 0:38:53.160
<v Speaker 2>because we've heard about softness, especially when it comes to

0:38:53.200 --> 0:38:54.160
<v Speaker 2>software as a service.

0:38:55.280 --> 0:39:00.399
<v Speaker 13>Yes, that's that's a brilliant question, Kim, and listen, that's

0:39:00.400 --> 0:39:03.719
<v Speaker 13>a very interesting topic because the demand is there. We

0:39:03.880 --> 0:39:07.400
<v Speaker 13>clearly hear from each and every prospect and client of

0:39:07.520 --> 0:39:12.719
<v Speaker 13>Creation that despite everyone is cutting budgets, everyone is cutting budgets.

0:39:13.480 --> 0:39:18.280
<v Speaker 13>Digital transformation and investment into the technology and workflow automation

0:39:18.400 --> 0:39:21.280
<v Speaker 13>tools like Creation is still on the top of the agenda.

0:39:21.520 --> 0:39:24.680
<v Speaker 13>So that would be the last budgets that will be cut.

0:39:25.040 --> 0:39:28.440
<v Speaker 13>People still invest into, not still, but continue to invest

0:39:28.719 --> 0:39:33.719
<v Speaker 13>into workflow automation and applications like Creation. So what we

0:39:33.880 --> 0:39:39.040
<v Speaker 13>hear from from the salesforce globally, we hear that it's

0:39:39.080 --> 0:39:43.080
<v Speaker 13>a lot of scrutiny from the procurement offices. Everyone is

0:39:44.120 --> 0:39:47.279
<v Speaker 13>very very attentive to details what kind of technology they

0:39:47.280 --> 0:39:50.480
<v Speaker 13>want to acquire. But at the same time, the demand

0:39:50.600 --> 0:39:52.799
<v Speaker 13>is there. Everyone needs digital transformation.

0:39:53.000 --> 0:39:56.720
<v Speaker 12>So if no code is meaning that you can design

0:39:56.920 --> 0:40:01.080
<v Speaker 12>software that even non technical people can execute, do we

0:40:01.120 --> 0:40:03.279
<v Speaker 12>still need we still need a lot of coders to

0:40:03.360 --> 0:40:06.120
<v Speaker 12>do this because we keep telling everybody go learn how

0:40:06.160 --> 0:40:07.280
<v Speaker 12>to code? Is that wrong?

0:40:07.760 --> 0:40:08.720
<v Speaker 2>And just very quickly?

0:40:08.840 --> 0:40:11.040
<v Speaker 13>Yes, that's a great question. We do need a lot

0:40:11.040 --> 0:40:14.440
<v Speaker 13>of software developers. The population of software developers is growing

0:40:14.680 --> 0:40:17.640
<v Speaker 13>just four percent year over year. We need more and

0:40:17.719 --> 0:40:21.640
<v Speaker 13>more of them to build deep platform itself. But workflows

0:40:21.840 --> 0:40:24.560
<v Speaker 13>have to be built by knowledge workers. The platform D

0:40:24.719 --> 0:40:28.640
<v Speaker 13>technology needs to be built by software professional software coders

0:40:28.680 --> 0:40:29.360
<v Speaker 13>and developers.

0:40:29.560 --> 0:40:33.680
<v Speaker 12>Really fascinating stuff. Come back soon. We really appreciate it.

0:40:34.560 --> 0:40:38.000
<v Speaker 12>Katherine costera reva. She is the CEO and founder of Creatio.

0:40:38.640 --> 0:40:40.520
<v Speaker 12>Joining us on zoom from Boston.

0:40:40.920 --> 0:40:44.480
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

0:40:44.520 --> 0:40:47.880
<v Speaker 1>live weekday afternoons from three to six Eastern Listen.

0:40:47.760 --> 0:40:50.759
<v Speaker 6>On Bloomberg dot com, the iHeartRadio app, and the.

0:40:50.719 --> 0:40:54.520
<v Speaker 14>Bloomberg Business app, or watch us live on YouTube.

0:40:55.239 --> 0:40:58.040
<v Speaker 12>John Wortheim is with US, executive editor and senior writer

0:40:58.080 --> 0:41:01.120
<v Speaker 12>at Sports Illustrated, contributing course on it for sixty minutes.

0:41:01.719 --> 0:41:03.239
<v Speaker 12>I'm gonna be a little bit of a fangirl, John,

0:41:03.239 --> 0:41:06.160
<v Speaker 12>I love your pieces on sixty minutes. But he's here

0:41:06.200 --> 0:41:08.160
<v Speaker 12>with us to talk about the US Open. He's on

0:41:08.200 --> 0:41:10.680
<v Speaker 12>the phone in Los Angeles. John, welcome back, How are

0:41:10.719 --> 0:41:11.319
<v Speaker 12>you good?

0:41:11.480 --> 0:41:11.840
<v Speaker 2>How are you?

0:41:11.880 --> 0:41:14.600
<v Speaker 15>I want to zam that intro music? What a great

0:41:14.640 --> 0:41:16.399
<v Speaker 15>tennis on core?

0:41:17.440 --> 0:41:19.520
<v Speaker 2>We might be able to get you the information on that.

0:41:19.880 --> 0:41:23.320
<v Speaker 2>I think pauls All to our team at Bloomberg Business.

0:41:22.800 --> 0:41:27.560
<v Speaker 12>Skaream it's cream? How about that? I didn't recognize that either. Hey, John,

0:41:28.160 --> 0:41:29.920
<v Speaker 12>So let's talk tennis. What are you looking forward to

0:41:29.960 --> 0:41:32.719
<v Speaker 12>this year? It's an interesting year and it's a packed year.

0:41:32.760 --> 0:41:34.000
<v Speaker 12>I'm just warning you from.

0:41:33.840 --> 0:41:34.680
<v Speaker 5>When you're here.

0:41:36.440 --> 0:41:38.640
<v Speaker 15>Yeah, you know, I'll play any funny. This is the

0:41:38.680 --> 0:41:42.200
<v Speaker 15>first US Open after Roger Federer and Serena Williams and

0:41:42.239 --> 0:41:43.920
<v Speaker 15>for years and years tennis. And what are we going

0:41:43.960 --> 0:41:46.040
<v Speaker 15>to do when these two titans are no longer around?

0:41:46.080 --> 0:41:49.160
<v Speaker 15>What's going to happen at tennis? And I think three

0:41:49.200 --> 0:41:53.120
<v Speaker 15>of the last five sessions attendance records. Someone was telling

0:41:53.160 --> 0:41:55.480
<v Speaker 15>you about the the secondary ticket from from the secondary

0:41:55.480 --> 0:41:58.560
<v Speaker 15>market for tickets is off the chart. There are a

0:41:58.600 --> 0:42:01.480
<v Speaker 15>lot of good storylines on them. Is the abundance of

0:42:01.520 --> 0:42:04.120
<v Speaker 15>American players who are who are still left in the draw.

0:42:04.800 --> 0:42:07.760
<v Speaker 15>Is this Coco Goffs year to win? On the women's side,

0:42:08.120 --> 0:42:11.640
<v Speaker 15>is Novak Djokovis and Carlos Alcarez, This great new tennis rivalry.

0:42:11.719 --> 0:42:14.560
<v Speaker 15>Are they going to have another installment for the third

0:42:14.600 --> 0:42:18.120
<v Speaker 15>straight Major in New York? We missed Roger Feeder, we

0:42:18.120 --> 0:42:21.000
<v Speaker 15>missed Serena Williams, But there is the show goes on.

0:42:21.040 --> 0:42:22.680
<v Speaker 15>There's plenty of plenty of tennis to watch.

0:42:22.760 --> 0:42:24.680
<v Speaker 2>Yeah. I love the Tiapos story as well, and he's

0:42:24.719 --> 0:42:27.000
<v Speaker 2>currently battling it out right now in the third set,

0:42:27.120 --> 0:42:31.319
<v Speaker 2>in the fourth set, actually right now. So who else

0:42:31.320 --> 0:42:33.200
<v Speaker 2>are the big names that you're watching this year?

0:42:33.600 --> 0:42:35.640
<v Speaker 15>Oh? I, you know, some of them are the big

0:42:35.719 --> 0:42:38.799
<v Speaker 15>names that we're used to. When Niga schwanhek won last

0:42:38.880 --> 0:42:42.280
<v Speaker 15>year and is really establishing herself as this generational player

0:42:42.360 --> 0:42:45.400
<v Speaker 15>and his Coco Goffin emerge his a rival, and Jesse

0:42:45.480 --> 0:42:48.520
<v Speaker 15>Pegula is in fact the highest ranked American male or

0:42:48.640 --> 0:42:51.960
<v Speaker 15>female of She's an interesting character with a much different

0:42:52.000 --> 0:42:55.799
<v Speaker 15>backstory than than other players. But I also think the

0:42:55.920 --> 0:42:58.480
<v Speaker 15>fact that sort of the fields are wide or open,

0:42:58.640 --> 0:43:01.000
<v Speaker 15>and you know, I think it will be it's either

0:43:01.080 --> 0:43:05.160
<v Speaker 15>Djokovic or Alcarez don't win, but there's still a lot

0:43:05.200 --> 0:43:08.279
<v Speaker 15>of space on stage for other players to make their move.

0:43:08.880 --> 0:43:11.600
<v Speaker 15>Taylor Fritz, who's the highest rank American male, but he

0:43:11.640 --> 0:43:14.880
<v Speaker 15>hasn't had great success in a major. Is this the

0:43:14.880 --> 0:43:19.040
<v Speaker 15>tournament where he finally breaks through. There's a lot of

0:43:19.080 --> 0:43:22.000
<v Speaker 15>we're sort of we're used to these three players on

0:43:22.040 --> 0:43:25.200
<v Speaker 15>the men's side better than all Djokovic who absolutely dominated.

0:43:25.280 --> 0:43:29.120
<v Speaker 15>We were used to Serena doing her ritual run. And

0:43:29.320 --> 0:43:31.640
<v Speaker 15>it's much different to cover the sport now that the

0:43:31.680 --> 0:43:35.640
<v Speaker 15>fields are wider open. You know, Ka Djokovic is obviously

0:43:35.680 --> 0:43:39.439
<v Speaker 15>still as relevant as ever, but it's kind of fun

0:43:39.840 --> 0:43:42.520
<v Speaker 15>not being able to pencil four players through to the

0:43:42.520 --> 0:43:45.839
<v Speaker 15>final weekend and you have this capacity for surprise, keeping us.

0:43:45.760 --> 0:43:47.640
<v Speaker 12>All on our toes. It's interesting, John, I always think

0:43:47.680 --> 0:43:49.719
<v Speaker 12>about we talked about this a lot with golf, right,

0:43:49.840 --> 0:43:52.840
<v Speaker 12>you know, golf after Tiger Woods. You know, in tennis,

0:43:52.960 --> 0:43:55.040
<v Speaker 12>we've had a lot of conversations with the USTA over

0:43:55.080 --> 0:43:57.760
<v Speaker 12>the years about, you know, making sure there's their interest

0:43:57.840 --> 0:44:02.080
<v Speaker 12>with the younger generation. And we see it continuing and

0:44:02.080 --> 0:44:05.960
<v Speaker 12>we do see younger, newer, interesting players come out. What

0:44:06.040 --> 0:44:08.400
<v Speaker 12>is it about tennis that you think that continues to

0:44:09.280 --> 0:44:11.080
<v Speaker 12>be a really popular sport.

0:44:11.320 --> 0:44:13.560
<v Speaker 15>I would love to see some sort of mess some

0:44:13.600 --> 0:44:16.279
<v Speaker 15>sort of data on how many people are at the

0:44:16.400 --> 0:44:18.880
<v Speaker 15>US Open, because it's fun at an event and you

0:44:18.920 --> 0:44:21.759
<v Speaker 15>walk around and you eat good food, and they're guys,

0:44:21.840 --> 0:44:26.879
<v Speaker 15>you know, juggling versus the actual tennis. I'm never quite

0:44:27.560 --> 0:44:29.279
<v Speaker 15>I'd always sort of just for my own and it's

0:44:29.360 --> 0:44:33.280
<v Speaker 15>just interesting to see. I think tennis is actually getting

0:44:33.320 --> 0:44:35.839
<v Speaker 15>a little bit of above from pickleball. I mean there's

0:44:35.880 --> 0:44:38.080
<v Speaker 15>sort of this this existential fear in tennis that all

0:44:38.080 --> 0:44:40.160
<v Speaker 15>the tennis courts are going to be turned into pickleball

0:44:40.200 --> 0:44:43.359
<v Speaker 15>courts and players are retiring to go try their hand

0:44:43.440 --> 0:44:45.279
<v Speaker 15>at pickleball. But I think it goes the other way,

0:44:45.320 --> 0:44:47.839
<v Speaker 15>and I think all these millions of people that are

0:44:47.840 --> 0:44:51.480
<v Speaker 15>playing pickleball have a new found appreciation for this, this

0:44:51.640 --> 0:44:55.680
<v Speaker 15>other racket sport. I think tennis is Globalization is a

0:44:55.680 --> 0:44:58.520
<v Speaker 15>little problematic in the US, right. I mean, in golf,

0:44:59.120 --> 0:45:01.320
<v Speaker 15>all the events are pretretty much held in one of

0:45:01.400 --> 0:45:04.239
<v Speaker 15>three time zones, and the majority of the tour they're all,

0:45:04.440 --> 0:45:08.120
<v Speaker 15>you know, mostly American and certainly English speaking. Kennis doesn't

0:45:08.120 --> 0:45:10.120
<v Speaker 15>have that, right, I Mean, You've got the player from

0:45:10.160 --> 0:45:13.239
<v Speaker 15>Tunisia's playing the Colombian and a lot of times the

0:45:13.280 --> 0:45:16.680
<v Speaker 15>events aren't in the US, They're not on the US

0:45:16.680 --> 0:45:21.040
<v Speaker 15>friendly time schedules. But I think overall this is a

0:45:21.280 --> 0:45:24.280
<v Speaker 15>really really global sport, and I think big picture especially

0:45:24.320 --> 0:45:26.839
<v Speaker 15>you look at how many other businesses would love this

0:45:26.920 --> 0:45:29.560
<v Speaker 15>kind of a footprint. You know, I was saying, it's

0:45:29.560 --> 0:45:31.360
<v Speaker 15>like stepping out a balloon, right. So it was a

0:45:31.360 --> 0:45:33.920
<v Speaker 15>lot healthier and easier in the US when all the

0:45:33.960 --> 0:45:36.319
<v Speaker 15>events were sort of between California and Florida and the

0:45:36.320 --> 0:45:39.239
<v Speaker 15>players came from here. It's a lot trickier where you've

0:45:39.239 --> 0:45:41.759
<v Speaker 15>got Serbs and you've got Tunisians. But I think it's

0:45:41.800 --> 0:45:43.000
<v Speaker 15>healthier for the sport overall.

0:45:43.360 --> 0:45:44.879
<v Speaker 12>You know, it's funny that you say that we talked

0:45:44.880 --> 0:45:49.799
<v Speaker 12>with the folks over at IBM yesterday and talking specifically

0:45:50.000 --> 0:45:52.680
<v Speaker 12>about trying to bring some of the content from some

0:45:52.760 --> 0:45:56.520
<v Speaker 12>of the other matches that aren't either at ASH or

0:45:56.560 --> 0:45:58.440
<v Speaker 12>you know, the main you know, kind of the main focus,

0:45:58.440 --> 0:46:01.080
<v Speaker 12>if you will, here at the open to make sure

0:46:01.120 --> 0:46:04.440
<v Speaker 12>that maybe some lesser well known and even you know,

0:46:05.000 --> 0:46:08.000
<v Speaker 12>global players at least get their time and that their

0:46:08.040 --> 0:46:10.600
<v Speaker 12>fan base gets to see them. But it's also there's

0:46:10.640 --> 0:46:14.799
<v Speaker 12>an AI artificial intelligence component where AI is doing the

0:46:14.840 --> 0:46:18.960
<v Speaker 12>commentary voice, you know, and talking about the players and

0:46:19.000 --> 0:46:19.839
<v Speaker 12>so on and so forth.

0:46:19.920 --> 0:46:21.919
<v Speaker 2>They got a long way to go, though, John, don't worry.

0:46:21.920 --> 0:46:25.080
<v Speaker 2>I watched a little bit last night. It's not anywhere

0:46:25.080 --> 0:46:27.080
<v Speaker 2>close to what you do. It's not close to what

0:46:27.239 --> 0:46:28.680
<v Speaker 2>we hear from the Macnrope brothers.

0:46:28.719 --> 0:46:31.359
<v Speaker 12>But is it good giving you know, some of these

0:46:31.360 --> 0:46:35.120
<v Speaker 12>players who might not get attention and their matches some time.

0:46:35.320 --> 0:46:37.560
<v Speaker 12>But is it also a little worrisome? I don't know.

0:46:37.880 --> 0:46:44.000
<v Speaker 2>With the AI component, Yeah, it's wear of AI.

0:46:44.200 --> 0:46:47.800
<v Speaker 15>We all recognize some of the outside of the potential.

0:46:47.840 --> 0:46:52.120
<v Speaker 15>I'm not sure AI's most urgent need is for sports commentary.

0:46:52.600 --> 0:46:56.160
<v Speaker 15>I mean, I've heard things that like, it's still whatever.

0:46:56.200 --> 0:46:57.960
<v Speaker 15>We won't think, we don't bout AI. It gets better,

0:46:58.040 --> 0:47:01.040
<v Speaker 15>right it sort of learns from its suma rapidly. But

0:47:02.120 --> 0:47:05.160
<v Speaker 15>I've heard it's pretty cringey right now, and they're, you know,

0:47:05.600 --> 0:47:09.040
<v Speaker 15>using terms that aren't real tennis terms. Suspect that will

0:47:09.040 --> 0:47:11.000
<v Speaker 15>improve it. I got to think there are other ways

0:47:11.000 --> 0:47:16.640
<v Speaker 15>to excentuate players from other countries from AI. But you know,

0:47:16.680 --> 0:47:19.920
<v Speaker 15>I guess I give the USCA and IBM credit for

0:47:20.160 --> 0:47:23.120
<v Speaker 15>at least experimenting. But I think I think we got

0:47:23.120 --> 0:47:23.359
<v Speaker 15>to wait.

0:47:23.719 --> 0:47:27.040
<v Speaker 2>Yeah, Hey, John, I love I love every year the

0:47:27.040 --> 0:47:28.160
<v Speaker 2>tips that you write.

0:47:28.440 --> 0:47:31.080
<v Speaker 12>I have been dying off air going.

0:47:30.920 --> 0:47:31.399
<v Speaker 5>Through the list.

0:47:31.480 --> 0:47:32.799
<v Speaker 2>I mean, it's not just the ones that you write,

0:47:32.800 --> 0:47:35.200
<v Speaker 2>but you also crowdsource them this year with you know,

0:47:35.239 --> 0:47:38.439
<v Speaker 2>help from people on Twitter x whatever you call it. Okay,

0:47:38.440 --> 0:47:39.640
<v Speaker 2>a couple of things that I have a couple of

0:47:39.680 --> 0:47:41.640
<v Speaker 2>things I want to ask now, I'm not going to

0:47:41.680 --> 0:47:44.520
<v Speaker 2>take yours. What's the deal with how loud the crowd

0:47:44.640 --> 0:47:46.799
<v Speaker 2>is this year? And I've noticed it too watching TV

0:47:46.880 --> 0:47:48.760
<v Speaker 2>when I'm not here and watching the matches on TV,

0:47:49.200 --> 0:47:52.160
<v Speaker 2>you have the commentators complaining that, hey, they are too

0:47:52.400 --> 0:47:54.879
<v Speaker 2>there are crowds and ash are being too loud while

0:47:54.920 --> 0:47:55.720
<v Speaker 2>the players are playing.

0:47:56.160 --> 0:47:57.680
<v Speaker 15>I think it's healthy and I think, you know, at

0:47:57.719 --> 0:48:01.000
<v Speaker 15>first level, I feel like crowds take their hue from players.

0:48:01.200 --> 0:48:04.359
<v Speaker 15>And we talked before about Francisciajo. He will say very

0:48:04.440 --> 0:48:06.719
<v Speaker 15>openly he wants crowds to be louder, he wants them

0:48:06.760 --> 0:48:08.200
<v Speaker 15>to move around. Why I can't tell us to be

0:48:08.280 --> 0:48:11.000
<v Speaker 15>more like the NBA. I think there's a sense that,

0:48:11.719 --> 0:48:13.879
<v Speaker 15>you know, I go to a sporting event, I act

0:48:13.920 --> 0:48:17.480
<v Speaker 15>a certain way. I get it. It's tennis, it's not Nastar.

0:48:17.680 --> 0:48:19.800
<v Speaker 15>I'm not gonna you know, we're not going to go

0:48:19.800 --> 0:48:21.759
<v Speaker 15>go Topla, you know, men aren't going to remove the

0:48:21.960 --> 0:48:26.160
<v Speaker 15>first but they're they're I think before I think, you know,

0:48:26.400 --> 0:48:28.360
<v Speaker 15>you know, I think you could keep decorum and also

0:48:28.440 --> 0:48:30.799
<v Speaker 15>have fun and be loud. But I also, honestly, I

0:48:30.800 --> 0:48:33.799
<v Speaker 15>think that crowds take their cue from the athlete, and

0:48:34.120 --> 0:48:36.680
<v Speaker 15>if it doesn't bother the players and father's the ESPN

0:48:36.719 --> 0:48:38.879
<v Speaker 15>booth when not the players though, that's that's not much

0:48:38.880 --> 0:48:39.279
<v Speaker 15>to turn.

0:48:41.000 --> 0:48:42.160
<v Speaker 12>I totally agree with you.

0:48:43.040 --> 0:48:45.560
<v Speaker 2>I got I saw daggers. I saw daggers from the

0:48:45.560 --> 0:48:48.920
<v Speaker 2>player she looked at she looked out my way one

0:48:48.960 --> 0:48:50.239
<v Speaker 2>of the matches earlier this week.

0:48:50.480 --> 0:48:50.920
<v Speaker 5>I love this.

0:48:51.080 --> 0:48:53.080
<v Speaker 12>Unless you have a match that day, there's no excuse

0:48:53.080 --> 0:48:55.160
<v Speaker 12>for dressing like a player when you attend the US Open.

0:48:55.239 --> 0:48:57.480
<v Speaker 12>You don't wear stirrups to a Yankees game and hint

0:48:57.480 --> 0:49:00.640
<v Speaker 12>guards and leotards to the LA leave the ristbands home jam.

0:49:01.080 --> 0:49:03.080
<v Speaker 12>It's so true. It is really funny to kind of

0:49:03.120 --> 0:49:05.080
<v Speaker 12>look around the crowds and there are people, you know,

0:49:05.120 --> 0:49:07.680
<v Speaker 12>who were just fans and they're dressed like a tennis player.

0:49:07.960 --> 0:49:10.799
<v Speaker 15>I don't get. I kind of sort of sometimes want

0:49:10.840 --> 0:49:13.200
<v Speaker 15>to approach those people and say, listen, no judgment, but

0:49:13.280 --> 0:49:16.279
<v Speaker 15>can you just explain that they can here, and I

0:49:16.320 --> 0:49:21.239
<v Speaker 15>don't know if blaze me when you've got these you know,

0:49:21.680 --> 0:49:24.440
<v Speaker 15>sixty year old Postelli guys with wristbands on to go

0:49:24.640 --> 0:49:27.200
<v Speaker 15>to go watch. You know, I don't get it.

0:49:27.560 --> 0:49:29.600
<v Speaker 12>All right, there's another one we have to do because

0:49:29.640 --> 0:49:31.720
<v Speaker 12>I felt like where is that one tent? Tim, because

0:49:31.719 --> 0:49:34.080
<v Speaker 12>I felt like this happened to me because I did

0:49:34.080 --> 0:49:35.879
<v Speaker 12>take that l I R R to go back home

0:49:35.880 --> 0:49:39.120
<v Speaker 12>to Manhattan. Oh here it is. Your fund is crushing

0:49:39.120 --> 0:49:41.600
<v Speaker 12>it and the Hamptons were amazing, and your kids left

0:49:41.600 --> 0:49:43.880
<v Speaker 12>camp and your buddy got you these tickets. If you

0:49:43.880 --> 0:49:46.240
<v Speaker 12>insist on a change over conversations, keep it down, Tiger.

0:49:46.480 --> 0:49:48.520
<v Speaker 12>It's so true. I'm the l R. Like they're coming

0:49:48.560 --> 0:49:50.279
<v Speaker 12>back from here and they're like, hey, you know the

0:49:50.320 --> 0:49:53.840
<v Speaker 12>investments and there they name dropped so many different people

0:49:53.840 --> 0:49:55.120
<v Speaker 12>and fun and fun.

0:49:55.160 --> 0:49:56.920
<v Speaker 2>Godness, it could have been a source for you, Carol.

0:49:57.640 --> 0:49:59.120
<v Speaker 12>But it gets a little crazy, right John.

0:50:00.360 --> 0:50:03.080
<v Speaker 15>Yeah, it's a certain type and you certainly see that

0:50:03.200 --> 0:50:06.359
<v Speaker 15>type at the US Open. And you know, we all

0:50:07.000 --> 0:50:10.600
<v Speaker 15>love we all love full markets, and we all love

0:50:11.280 --> 0:50:13.480
<v Speaker 15>you know, and when we close on a high, as

0:50:13.520 --> 0:50:15.560
<v Speaker 15>we seem to be close to doing. But yeah, I

0:50:15.560 --> 0:50:17.520
<v Speaker 15>don't need to hear about that, and neither does the

0:50:17.560 --> 0:50:18.000
<v Speaker 15>person of the.

0:50:18.000 --> 0:50:19.640
<v Speaker 2>See before you go.

0:50:19.840 --> 0:50:21.440
<v Speaker 12>One thing I did want to ask you, and getting

0:50:21.480 --> 0:50:23.200
<v Speaker 12>back to just a little bit more serious, is the

0:50:23.280 --> 0:50:27.719
<v Speaker 12>role of Saudi Arabia in sports specifically overall. You saw

0:50:27.719 --> 0:50:34.560
<v Speaker 12>it with LIV, golf, WTA, stuff's percolating. How are you

0:50:34.600 --> 0:50:36.560
<v Speaker 12>seeing it as somebody who's covered this industry for a

0:50:36.560 --> 0:50:37.919
<v Speaker 12>long time or covered this world.

0:50:38.239 --> 0:50:40.480
<v Speaker 15>Oh man, we could do a whole hour on that.

0:50:41.680 --> 0:50:43.320
<v Speaker 15>I did a piece a few months ago for sixteen

0:50:43.360 --> 0:50:45.239
<v Speaker 15>minutes when I went. I went to Riatt and sort

0:50:45.280 --> 0:50:47.359
<v Speaker 15>of saw what it was like on the ground, and

0:50:48.239 --> 0:50:54.040
<v Speaker 15>I'm clearly the Saudis sports as a place to get involved.

0:50:54.520 --> 0:50:58.239
<v Speaker 15>Their economics are much different from conventional sports economics, which

0:50:58.280 --> 0:51:01.600
<v Speaker 15>is not about media rights deals and selling tickets and

0:51:01.680 --> 0:51:05.080
<v Speaker 15>sweet and merchandise. I think this is about rebranding a country.

0:51:06.160 --> 0:51:10.600
<v Speaker 15>And you know, we saw in golf that took it

0:51:10.640 --> 0:51:13.560
<v Speaker 15>took one shape in golf, it's taken others. In soccer,

0:51:14.160 --> 0:51:16.680
<v Speaker 15>you know, you'll do football slash soccer. You'll notice, you know,

0:51:16.840 --> 0:51:19.680
<v Speaker 15>there are big time offers and athletes are being paid

0:51:20.160 --> 0:51:22.920
<v Speaker 15>a clear premium to come play in Saudi Arabia. Some

0:51:22.960 --> 0:51:24.600
<v Speaker 15>of them are accepting it, some of them are not.

0:51:24.680 --> 0:51:27.120
<v Speaker 15>I mean, it's interesting to me. There now is a

0:51:27.160 --> 0:51:30.279
<v Speaker 15>bid on the table for the Women's Tennistry to hold

0:51:30.320 --> 0:51:32.320
<v Speaker 15>their final events, which is sort of their big showcase

0:51:32.320 --> 0:51:34.799
<v Speaker 15>of things. They're big money, the great money maker in

0:51:34.880 --> 0:51:38.600
<v Speaker 15>Saudi Arabia, and I think, you know, we can have

0:51:38.680 --> 0:51:41.600
<v Speaker 15>a debate about this is the tour of Billy g

0:51:41.680 --> 0:51:45.520
<v Speaker 15>and King that's just left China for ethical reasons because

0:51:45.520 --> 0:51:48.719
<v Speaker 15>it didn't want sort of to be compromised on principles,

0:51:48.760 --> 0:51:50.919
<v Speaker 15>and they left China. If it's strange that they would

0:51:50.920 --> 0:51:53.880
<v Speaker 15>then you know, pitch their attentions in Saudi Arabia. The

0:51:53.880 --> 0:51:58.960
<v Speaker 15>flip side is, listen, we're all creatures of incentives. And

0:51:59.080 --> 0:52:02.840
<v Speaker 15>if Sawnie Ray is offering top dollar, who are we

0:52:03.000 --> 0:52:06.160
<v Speaker 15>to tell soccer players or golfers or female tennis players

0:52:06.200 --> 0:52:08.839
<v Speaker 15>not to get taken. It's a story that I think

0:52:08.920 --> 0:52:12.080
<v Speaker 15>is only going to accelerate because I think it's clearly working.

0:52:12.880 --> 0:52:16.200
<v Speaker 15>And you know, the Saudi Private and Veil the Peah

0:52:16.320 --> 0:52:18.080
<v Speaker 15>have the private and that's the fun. They've had billions

0:52:18.120 --> 0:52:20.960
<v Speaker 15>and billions of dollars to lavish on this sort of

0:52:21.000 --> 0:52:24.640
<v Speaker 15>soft power, and sports are clearly going to benefit and

0:52:24.680 --> 0:52:26.080
<v Speaker 15>athletes are going to have a real decision.

0:52:26.120 --> 0:52:29.279
<v Speaker 2>To me, but it's tennis different. I mean, you mentioned

0:52:29.320 --> 0:52:31.520
<v Speaker 2>China several times there, and what they did in China

0:52:31.640 --> 0:52:32.560
<v Speaker 2>is tennis different.

0:52:34.520 --> 0:52:36.520
<v Speaker 15>You know, I think a couple of things. First, they

0:52:37.080 --> 0:52:41.360
<v Speaker 15>the WTA left China citing these ethical concerns, so you

0:52:41.480 --> 0:52:45.239
<v Speaker 15>sort of set a precedent for you know, ethics and

0:52:45.320 --> 0:52:47.840
<v Speaker 15>morals and human rights that matters to us. It's a

0:52:48.080 --> 0:52:50.440
<v Speaker 15>little strange to then say, actually, you know what, make

0:52:50.480 --> 0:52:54.239
<v Speaker 15>that back. It doesn't. I think the Women's Tennis Tour

0:52:54.360 --> 0:52:57.239
<v Speaker 15>sort of has this strand and has for for decades

0:52:57.920 --> 0:53:01.719
<v Speaker 15>of activism and social and fairness and equality. And this

0:53:01.760 --> 0:53:04.040
<v Speaker 15>is more than just about four hands and backhands and

0:53:04.080 --> 0:53:07.240
<v Speaker 15>a bouncing ball. This is a movement. A little strange

0:53:07.280 --> 0:53:09.759
<v Speaker 15>to then go to a country where women are not

0:53:10.360 --> 0:53:12.759
<v Speaker 15>given equal rights. And we saw this week somebody was

0:53:12.760 --> 0:53:17.920
<v Speaker 15>playing some guests for retweeting something that was unflattering to NBA. Right,

0:53:19.360 --> 0:53:22.320
<v Speaker 15>And yet I think you could argue just as easily.

0:53:22.480 --> 0:53:25.800
<v Speaker 15>You know, look, Chris John and Ronaldo can make whatever

0:53:25.800 --> 0:53:27.920
<v Speaker 15>you see, a quarter of a billion dollars playing soccer.

0:53:28.680 --> 0:53:32.239
<v Speaker 15>Why can't women athletes avail themselves to that money the

0:53:32.239 --> 0:53:36.560
<v Speaker 15>same way men can. So it's really complex and thorny.

0:53:37.040 --> 0:53:39.640
<v Speaker 12>Yeah, we got to rude. Come back into the hour

0:53:39.640 --> 0:53:41.759
<v Speaker 12>in Saudi Arabia. We would love to you name the

0:53:41.840 --> 0:53:43.879
<v Speaker 12>date at the time, John, you are here, John Wroth,

0:53:43.920 --> 0:53:46.400
<v Speaker 12>I'm of Sports Illustrated of sixty minutes.

0:53:51.719 --> 0:53:55.279
<v Speaker 1>You're listening to the Bloomberg Business Week Podcast. Catch us

0:53:55.320 --> 0:53:59.320
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

0:53:59.480 --> 0:54:02.439
<v Speaker 1>the Bloomer Work Business app, and YouTube. You can also

0:54:02.520 --> 0:54:05.680
<v Speaker 1>listen live on Amazon Alexa from our flagship New York

0:54:05.760 --> 0:54:09.560
<v Speaker 1>station Just Say Alexa. Play Bloomberg eleven thirty.

0:54:11.200 --> 0:54:13.399
<v Speaker 2>Plenty ahead in our second hour of the weekend edition

0:54:13.400 --> 0:54:16.319
<v Speaker 2>of Bloomberg Business Week, including a Bloomberg Big take on

0:54:16.400 --> 0:54:19.480
<v Speaker 2>the one aspect of post pandemic life that just can't

0:54:19.480 --> 0:54:22.040
<v Speaker 2>seem to get back to normal. Returning to the office

0:54:22.080 --> 0:54:24.719
<v Speaker 2>full time. Plus, we'll go back to the US Open

0:54:24.800 --> 0:54:26.520
<v Speaker 2>for a pulse check on the growth of tennis in

0:54:26.560 --> 0:54:30.040
<v Speaker 2>America with former pro and former CEO of the United

0:54:30.040 --> 0:54:33.960
<v Speaker 2>States Tennis Association Katrina Adams. First up this hour, a

0:54:34.000 --> 0:54:37.440
<v Speaker 2>conversation with Josh Dominga's He's the founder and CEO of

0:54:37.480 --> 0:54:40.560
<v Speaker 2>flash Food. It's the digital marketplace that connects consumers to

0:54:40.600 --> 0:54:43.840
<v Speaker 2>heavily discounted food. His company is helping grocers around the

0:54:43.960 --> 0:54:47.880
<v Speaker 2>US and Canada reduce food waste well simultaneously enabling shoppers

0:54:47.880 --> 0:54:50.720
<v Speaker 2>to save on their food. Josh recently spoke with Carol

0:54:50.719 --> 0:54:53.479
<v Speaker 2>and Bloomberg News Deputy team leader for US Equities Jess

0:54:53.480 --> 0:54:55.280
<v Speaker 2>Metton in our New York studios.

0:54:55.360 --> 0:54:58.560
<v Speaker 12>Hey, so a story poptin on my radar while reading

0:54:58.560 --> 0:55:00.960
<v Speaker 12>in for our next guest. It was from Dive. They're

0:55:01.000 --> 0:55:03.880
<v Speaker 12>a business to business news organization. They wrote, as grocers

0:55:03.920 --> 0:55:06.200
<v Speaker 12>dial up their efforts to reduce food waste, a key

0:55:06.280 --> 0:55:10.120
<v Speaker 12>area of focus within sustainability, artificial intelligence and other digital

0:55:10.160 --> 0:55:14.080
<v Speaker 12>innovations are helping food retailers improve their data processes and

0:55:14.160 --> 0:55:17.759
<v Speaker 12>workforce efficiencies. So I'm curious what our next guest has

0:55:17.800 --> 0:55:19.520
<v Speaker 12>to say about that, and so delighted to have back

0:55:19.520 --> 0:55:21.520
<v Speaker 12>with them. Earlier this year, he was named one of

0:55:21.600 --> 0:55:24.520
<v Speaker 12>Canada's most Influential change Makers by the Globe and Mails

0:55:24.600 --> 0:55:29.040
<v Speaker 12>Report on Business magazine. Josh Domingis founded flash Food, the

0:55:29.080 --> 0:55:33.400
<v Speaker 12>digital marketplace that connects consumers to heavily discounted food. I

0:55:33.480 --> 0:55:36.360
<v Speaker 12>always feel like I was thinking about you again, is

0:55:36.400 --> 0:55:38.400
<v Speaker 12>that why the heck where we'ren't doing this sooner?

0:55:38.440 --> 0:55:38.800
<v Speaker 16>Anyway?

0:55:38.840 --> 0:55:42.600
<v Speaker 12>Welcome back, welcome back. And Jess was reminded like this.

0:55:42.600 --> 0:55:44.440
<v Speaker 2>The first time we had she was here.

0:55:44.480 --> 0:55:47.879
<v Speaker 12>She's in for tim but like nice to have this continuity.

0:55:48.800 --> 0:55:49.279
<v Speaker 12>How are you.

0:55:49.880 --> 0:55:50.560
<v Speaker 16>I'm doing well.

0:55:50.640 --> 0:55:53.960
<v Speaker 12>I mean, congratulations you have a bigger family now, yeah.

0:55:53.840 --> 0:55:54.120
<v Speaker 5>Thank you.

0:55:54.160 --> 0:55:56.560
<v Speaker 16>We had another one, so our newness is now three

0:55:56.560 --> 0:55:58.920
<v Speaker 16>months old. And I was joking that, like I go

0:55:59.040 --> 0:56:01.560
<v Speaker 16>from all all things crazy at home to all things

0:56:01.600 --> 0:56:04.800
<v Speaker 16>crazy at work, but just on a journey, and it's

0:56:04.840 --> 0:56:06.520
<v Speaker 16>so grateful to be in the position that we're at.

0:56:06.600 --> 0:56:09.600
<v Speaker 16>We're really excited with what's happening stateside, Like.

0:56:09.880 --> 0:56:12.239
<v Speaker 12>Well, tell us about the journey and what's happened since

0:56:12.280 --> 0:56:14.359
<v Speaker 12>April A lot. I mean you said to me, how's

0:56:14.480 --> 0:56:16.640
<v Speaker 12>the world going on? Like it's crazy, it's not stopping.

0:56:16.760 --> 0:56:20.239
<v Speaker 12>It has just been so busy. Even with questions about

0:56:20.280 --> 0:56:24.120
<v Speaker 12>the outlook and all these problems, there's growth, people are

0:56:24.120 --> 0:56:28.520
<v Speaker 12>doing things. What's changed since April A lot of things.

0:56:28.600 --> 0:56:30.680
<v Speaker 16>But I'll say the first thing is like the reliance

0:56:31.000 --> 0:56:34.200
<v Speaker 16>on from shoppers on flash foot now like we've become

0:56:34.239 --> 0:56:36.560
<v Speaker 16>a lifeline for some of our customers, some of our

0:56:36.600 --> 0:56:40.160
<v Speaker 16>shoppers where like they're not feeding their kids or their

0:56:40.200 --> 0:56:43.000
<v Speaker 16>families as affordably as they would read or as healthily

0:56:43.480 --> 0:56:45.520
<v Speaker 16>without the app, and we're seeing that just play out

0:56:45.560 --> 0:56:48.000
<v Speaker 16>in more and more communities. And there was a story

0:56:48.000 --> 0:56:50.959
<v Speaker 16>I was telling Estraur Director of Commons before we sat

0:56:51.000 --> 0:56:53.160
<v Speaker 16>in here, and me and my president stopped at a

0:56:53.160 --> 0:56:56.680
<v Speaker 16>store in the Midwest last week and we went to

0:56:56.719 --> 0:56:58.600
<v Speaker 16>the store. It was one of our newer stores that

0:56:58.640 --> 0:57:01.640
<v Speaker 16>we had partnered with and still in like kind of

0:57:01.640 --> 0:57:03.680
<v Speaker 16>the pilot phase, and so we weren't going to go

0:57:03.719 --> 0:57:05.840
<v Speaker 16>in and like talk to anybody. We weren't planning on

0:57:05.880 --> 0:57:07.160
<v Speaker 16>doing that. Really, we were just going to kind of

0:57:07.160 --> 0:57:09.319
<v Speaker 16>see how people were doing in the store. We ended

0:57:09.400 --> 0:57:11.879
<v Speaker 16>up meeting the assistant store manager. She's like, you need

0:57:11.880 --> 0:57:14.239
<v Speaker 16>to go talk to the store manager. He pulled in

0:57:14.480 --> 0:57:17.400
<v Speaker 16>the meat department manager who was the one running flash

0:57:17.400 --> 0:57:19.760
<v Speaker 16>food at the store, and he just pulls us society.

0:57:19.760 --> 0:57:22.560
<v Speaker 16>He's like, I've reduced the amount of food that I'm

0:57:22.600 --> 0:57:25.680
<v Speaker 16>throwing out like a ridiculous amount. And then he called

0:57:25.680 --> 0:57:28.000
<v Speaker 16>over the seafood manager who was just like walking by,

0:57:28.040 --> 0:57:29.440
<v Speaker 16>and he stopped and he's like I just want to

0:57:29.440 --> 0:57:32.520
<v Speaker 16>say thank you, Like what you're allowing us to do

0:57:32.640 --> 0:57:35.280
<v Speaker 16>is so impactful. And we left that meeting. We were

0:57:35.280 --> 0:57:37.320
<v Speaker 16>going to another dinner with a couple of other executives

0:57:37.360 --> 0:57:40.080
<v Speaker 16>at Admire in the Midwest and the store that we left,

0:57:40.080 --> 0:57:42.120
<v Speaker 16>and I was talking my president and I'm just like,

0:57:42.560 --> 0:57:45.800
<v Speaker 16>this is not like a it's not like a surprise factor.

0:57:45.840 --> 0:57:49.120
<v Speaker 16>It's not like a reinvigoration. It's more like confirmatory to me,

0:57:49.360 --> 0:57:51.440
<v Speaker 16>it just is so obvious that this is going to

0:57:51.480 --> 0:57:53.600
<v Speaker 16>continue to happen, and the scale is going to keep happening,

0:57:53.680 --> 0:57:56.120
<v Speaker 16>and we're going to be in every community in America,

0:57:56.160 --> 0:57:59.680
<v Speaker 16>like it's just a matter of time. So it's balancing

0:57:59.720 --> 0:58:02.960
<v Speaker 16>that with I guess the headwinds that are the grocery sector,

0:58:02.960 --> 0:58:04.160
<v Speaker 16>that are the food sector that.

0:58:04.240 --> 0:58:06.120
<v Speaker 12>Like and I want to give you, but give me

0:58:06.280 --> 0:58:08.200
<v Speaker 12>give me we are bloomberg. So we get a little

0:58:08.280 --> 0:58:10.880
<v Speaker 12>like number crazy, but give me an idea in terms

0:58:10.880 --> 0:58:12.360
<v Speaker 12>of like we'll go ahead, good.

0:58:12.360 --> 0:58:14.240
<v Speaker 4>Well, the size and scope that he threw out the

0:58:14.320 --> 0:58:16.080
<v Speaker 4>last time he was here, he was talking about how

0:58:16.120 --> 0:58:18.560
<v Speaker 4>it's about five to ten thousand dollars of food every

0:58:18.640 --> 0:58:21.120
<v Speaker 4>day of stores throwing out and that really stuck out

0:58:21.160 --> 0:58:21.360
<v Speaker 4>to me.

0:58:21.800 --> 0:58:25.280
<v Speaker 16>Yeah, we've now saved shoppers. So one number that comes

0:58:25.280 --> 0:58:27.080
<v Speaker 16>to mind is like, we've now saved shoppers over two

0:58:27.160 --> 0:58:30.840
<v Speaker 16>hundred million dollars in the groceries, Like, and we're in

0:58:31.680 --> 0:58:34.240
<v Speaker 16>just under two thousand stores. There's so what does that mean?

0:58:34.280 --> 0:58:36.959
<v Speaker 12>So when somebody shop, tell me what that number means.

0:58:36.960 --> 0:58:39.240
<v Speaker 16>So the average the average discount on flash food is

0:58:39.240 --> 0:58:42.880
<v Speaker 16>about fifty percent off. Okay, So like we've saved shoppers

0:58:42.920 --> 0:58:46.280
<v Speaker 16>in total across the entire platform over two hundred million

0:58:46.320 --> 0:58:50.080
<v Speaker 16>dollars now, and that number is like we're in nineteen

0:58:50.160 --> 0:58:54.080
<v Speaker 16>hundred stores. There's forty or fifty thousand grocery stores in America. Like,

0:58:54.800 --> 0:58:57.680
<v Speaker 16>we're still just scratching the surface. There's still so much opportunity.

0:58:57.680 --> 0:58:59.560
<v Speaker 12>Who's shopping? Who is your shopper?

0:59:00.280 --> 0:59:03.240
<v Speaker 16>I was talking about this earlier, Like there's a small

0:59:03.680 --> 0:59:05.840
<v Speaker 16>cohort of people that don't have to ever think about

0:59:05.880 --> 0:59:08.600
<v Speaker 16>how much their grocery their groceries are, And.

0:59:08.560 --> 0:59:11.200
<v Speaker 12>There's a cohort increasingly, not because I feel like, but

0:59:12.560 --> 0:59:15.680
<v Speaker 12>to be fair, to be fair, there's people who are

0:59:16.160 --> 0:59:16.600
<v Speaker 12>on It's a.

0:59:16.680 --> 0:59:18.640
<v Speaker 16>Very small number and it's getting smaller, and there's a

0:59:18.680 --> 0:59:21.480
<v Speaker 16>small number of people who just like are on the

0:59:21.480 --> 0:59:25.320
<v Speaker 16>other spectrum, and our shoppers are the mass market that's

0:59:25.360 --> 0:59:29.160
<v Speaker 16>in between. Like, it's not just people who need to

0:59:29.160 --> 0:59:31.320
<v Speaker 16>save money on their groceries. People need to save money

0:59:31.360 --> 0:59:35.160
<v Speaker 16>anywhere now. So in terms of the shopper, it's typically

0:59:35.520 --> 0:59:38.360
<v Speaker 16>young moms that are our main shopper. But it runs

0:59:38.400 --> 0:59:41.920
<v Speaker 16>the gamut, like across the spectrum economically.

0:59:42.200 --> 0:59:45.480
<v Speaker 4>How does it work exactly? If you go to the store.

0:59:45.400 --> 0:59:47.400
<v Speaker 12>Remind everybody else, I know you went through this last time.

0:59:47.440 --> 0:59:50.720
<v Speaker 16>But yeah, so you usually check the app, So I'll

0:59:50.720 --> 0:59:52.800
<v Speaker 16>talk the flow. You check the app in the morning,

0:59:52.800 --> 0:59:54.440
<v Speaker 16>you see what a store posts, you buy it. So

0:59:54.520 --> 0:59:56.120
<v Speaker 16>let's say you buy a pack of chicken rest and

0:59:56.160 --> 0:59:59.160
<v Speaker 16>it's fifty percent off. Anytime that day, you go to

0:59:59.200 --> 1:00:01.440
<v Speaker 16>the store and you go to the flash Food zone,

1:00:01.480 --> 1:00:04.320
<v Speaker 16>which is by the customer service desk usually, and they

1:00:04.320 --> 1:00:05.960
<v Speaker 16>have a device with the list of names of people

1:00:06.000 --> 1:00:07.880
<v Speaker 16>that are coming to pick up. You just say I'm Jess,

1:00:07.880 --> 1:00:10.480
<v Speaker 16>I bought this chicken through flash Food. They click your name,

1:00:10.640 --> 1:00:12.840
<v Speaker 16>click confirm, pick up, grab your item for you, give

1:00:12.840 --> 1:00:15.720
<v Speaker 16>it to you, and you're done. So the transaction happens

1:00:15.720 --> 1:00:17.200
<v Speaker 16>in the app, and that way you know that your

1:00:17.200 --> 1:00:19.360
<v Speaker 16>food's going to be waiting for you there anytime in

1:00:19.400 --> 1:00:21.439
<v Speaker 16>the day. We actually have stories of people who will

1:00:21.440 --> 1:00:25.600
<v Speaker 16>like buy from multiple stores and they'll send their father

1:00:25.640 --> 1:00:27.520
<v Speaker 16>in law, their mother in law, whoever's coming home from

1:00:27.520 --> 1:00:29.280
<v Speaker 16>work that day, like, Hey, stop at the store, you

1:00:29.320 --> 1:00:31.440
<v Speaker 16>got to grab my order. That's actually becoming more of

1:00:31.480 --> 1:00:32.920
<v Speaker 16>the thing as we add more locations.

1:00:32.960 --> 1:00:34.600
<v Speaker 12>Are they restrictions on how much you can buy?

1:00:34.880 --> 1:00:36.000
<v Speaker 16>No?

1:00:36.000 --> 1:00:39.600
<v Speaker 12>No, do you typically sell out? It's the purple fridge.

1:00:39.280 --> 1:00:41.440
<v Speaker 16>Right, Yeah, we're selling like depending on the store, but

1:00:41.480 --> 1:00:43.680
<v Speaker 16>we're selling seventy five to eighty percent of all the

1:00:43.680 --> 1:00:45.560
<v Speaker 16>food that makes its way on the flash food platform.

1:00:45.760 --> 1:00:47.480
<v Speaker 16>Some of the markets, some of the stores, as we

1:00:47.640 --> 1:00:50.720
<v Speaker 16>like have been on for a while, more shoppers know

1:00:50.720 --> 1:00:51.080
<v Speaker 16>about them.

1:00:51.120 --> 1:00:51.760
<v Speaker 5>When we launched.

1:00:51.760 --> 1:00:54.680
<v Speaker 16>There's some like education to let shoppers know. For example,

1:00:54.720 --> 1:00:56.600
<v Speaker 16>like from the last time I was here, we went

1:00:56.640 --> 1:00:58.880
<v Speaker 16>from I think it was like ten or fifteen stores

1:00:58.920 --> 1:01:02.120
<v Speaker 16>with Stopping Shop to now over three hundred stores live

1:01:02.160 --> 1:01:04.800
<v Speaker 16>with them across New England, New Jersey, New York. So

1:01:04.840 --> 1:01:07.760
<v Speaker 16>Stopping Shop is our biggest expansion in the last quarter

1:01:07.800 --> 1:01:08.320
<v Speaker 16>that we've had.

1:01:08.920 --> 1:01:12.320
<v Speaker 4>So in context as far as if something is two

1:01:12.360 --> 1:01:14.880
<v Speaker 4>to three days before the expiration date is due or

1:01:14.880 --> 1:01:17.760
<v Speaker 4>even weak out. What causes that to happen? Are people

1:01:17.840 --> 1:01:20.680
<v Speaker 4>just going in not if it's Saints Suitor? Are they

1:01:20.720 --> 1:01:22.360
<v Speaker 4>not wanting to grab that and they're trying to buy

1:01:22.440 --> 1:01:24.560
<v Speaker 4>something that's going to last a little bit longer. So

1:01:24.600 --> 1:01:26.520
<v Speaker 4>that's why stores end up having to throw this out.

1:01:26.640 --> 1:01:29.920
<v Speaker 16>That's exactly it. It's consumer habits. Specifically in North America.

1:01:29.960 --> 1:01:32.080
<v Speaker 16>When we go grocery shopping, we're always reaching at the

1:01:32.080 --> 1:01:35.160
<v Speaker 16>back for whatever has Yeah, we're all guilty of it,

1:01:35.240 --> 1:01:37.040
<v Speaker 16>and the near dated stuff moves to the front.

1:01:36.880 --> 1:01:39.640
<v Speaker 4>And we think that there's not quite as many items left.

1:01:39.680 --> 1:01:42.920
<v Speaker 4>I'm kind of questioning why those things might be there.

1:01:43.000 --> 1:01:44.760
<v Speaker 16>That's exactly the next point. If you go buy a

1:01:44.760 --> 1:01:46.920
<v Speaker 16>watermelon and there's one on the shelf, consumer is the

1:01:47.000 --> 1:01:49.200
<v Speaker 16>worst one. So the retailer has to stalk the shelves.

1:01:49.360 --> 1:01:51.720
<v Speaker 16>So it's a combination so that we get selection. It's

1:01:51.720 --> 1:01:54.960
<v Speaker 16>a combination of like inventory getting into the store, but

1:01:55.000 --> 1:01:59.160
<v Speaker 16>also consumer habits that drives to this like dual sided problem.

1:01:59.200 --> 1:02:01.680
<v Speaker 12>I guess someone who's created this business, Josh, do you

1:02:01.720 --> 1:02:04.160
<v Speaker 12>think about, like you know so much when we talk

1:02:04.160 --> 1:02:07.480
<v Speaker 12>about retail or some other markets you know, managing your

1:02:07.480 --> 1:02:10.840
<v Speaker 12>supply chain is crucial, right, and I do wonder do

1:02:10.880 --> 1:02:13.160
<v Speaker 12>you think that there is a moment in time where

1:02:14.080 --> 1:02:17.960
<v Speaker 12>food or supermarkets are better at managing their food purchases

1:02:18.000 --> 1:02:20.919
<v Speaker 12>so that there isn't waste that you can't tap into

1:02:21.160 --> 1:02:23.920
<v Speaker 12>or is it not it's not the way this market works.

1:02:24.720 --> 1:02:26.520
<v Speaker 16>I mean, I mean, I'm just curious if you yeah,

1:02:26.520 --> 1:02:28.960
<v Speaker 16>it's not. It's not serving to the business. But I mean,

1:02:29.000 --> 1:02:31.600
<v Speaker 16>I would love if that were the case from personally,

1:02:31.680 --> 1:02:33.920
<v Speaker 16>from like an environmental perspective, I would love if that

1:02:33.960 --> 1:02:34.439
<v Speaker 16>were the case.

1:02:34.480 --> 1:02:36.840
<v Speaker 12>But is there something about it that almost makes it impossible.

1:02:36.880 --> 1:02:38.560
<v Speaker 16>It's it's not ever going to get there. It's so

1:02:38.840 --> 1:02:42.440
<v Speaker 16>hard to manage inventory and fresh food. Like we're in

1:02:42.480 --> 1:02:44.440
<v Speaker 16>New York City and you can get a banana at

1:02:44.480 --> 1:02:47.200
<v Speaker 16>any time of the year. Like people forget how just

1:02:47.440 --> 1:02:50.320
<v Speaker 16>much of a miracle that is, Like you're not they're

1:02:50.360 --> 1:02:52.120
<v Speaker 16>not growing down the road. You got to get that

1:02:52.120 --> 1:02:55.000
<v Speaker 16>across the world basically, and take that for any item

1:02:55.080 --> 1:02:57.720
<v Speaker 16>like and avocado. The same thing. So as long as

1:02:57.840 --> 1:03:00.320
<v Speaker 16>our habits are as they are, which they will tinue

1:03:00.360 --> 1:03:03.919
<v Speaker 16>to be, it's basically impossible to be perfect on your inventory.

1:03:03.600 --> 1:03:06.160
<v Speaker 12>Isn't that funny? Like I think about growing up. I'm

1:03:06.160 --> 1:03:08.680
<v Speaker 12>older than both of you, but it's like peaches were

1:03:08.680 --> 1:03:12.560
<v Speaker 12>in season, like this was in season corn, and you know,

1:03:12.720 --> 1:03:14.600
<v Speaker 12>there was just certain things that we would have and

1:03:14.640 --> 1:03:17.520
<v Speaker 12>it was kind of fun. But it's not that way anymore.

1:03:17.640 --> 1:03:19.880
<v Speaker 16>It's gone away very different. And now if they don't

1:03:19.880 --> 1:03:22.240
<v Speaker 16>have something at one store, your competitor has it down

1:03:22.280 --> 1:03:25.000
<v Speaker 16>the road. So like because of that reason, in addition

1:03:25.040 --> 1:03:27.040
<v Speaker 16>to supply chain, in addition to moving food, and in

1:03:27.080 --> 1:03:29.720
<v Speaker 16>addition to every time you touch food like it degrades

1:03:29.760 --> 1:03:32.920
<v Speaker 16>its quality a little bit, it's just really really difficult

1:03:32.960 --> 1:03:38.200
<v Speaker 16>to get fresh food right forecasting. So my belief is,

1:03:38.240 --> 1:03:39.640
<v Speaker 16>no matter what, we're going to have a surplus in

1:03:39.680 --> 1:03:41.600
<v Speaker 16>North America food at the grocery stores. I think it's

1:03:41.600 --> 1:03:44.440
<v Speaker 16>going to reduce over time, but I think it's always

1:03:44.440 --> 1:03:47.240
<v Speaker 16>going to be there. And I say that having friendships

1:03:47.240 --> 1:03:49.400
<v Speaker 16>close ties with some of these companies that are doing

1:03:49.480 --> 1:03:52.200
<v Speaker 16>what you're saying, like using AI and leveraging the best

1:03:52.200 --> 1:03:54.120
<v Speaker 16>way you can order, the best way you like, you

1:03:54.160 --> 1:03:57.880
<v Speaker 16>can adopt your systems to being perfect.

1:03:58.080 --> 1:04:01.520
<v Speaker 12>Where's the Whole Foods? The Walmart, Cosco, the Kroger, the Wegmans,

1:04:01.520 --> 1:04:05.440
<v Speaker 12>the Albertson's, the all d to partner with you. What's

1:04:05.480 --> 1:04:09.200
<v Speaker 12>what's the conversations you're having. Yeah, I'm assuming you are.

1:04:09.560 --> 1:04:11.600
<v Speaker 16>Yeah. Yeah, And if anybody knows any of them, like

1:04:11.600 --> 1:04:13.960
<v Speaker 16>give them a call. No, we're speaking to uh, We're

1:04:14.000 --> 1:04:15.800
<v Speaker 16>speaking to basically everybody in America.

1:04:16.800 --> 1:04:17.760
<v Speaker 12>Do they want to do it?

1:04:18.480 --> 1:04:18.800
<v Speaker 5>Yes?

1:04:18.960 --> 1:04:22.240
<v Speaker 16>And you have different levels within these big companies, decision

1:04:22.240 --> 1:04:24.720
<v Speaker 16>making from different people. It depends who you get in through.

1:04:26.080 --> 1:04:28.360
<v Speaker 16>With some of the like we are, what I'll say

1:04:28.400 --> 1:04:31.360
<v Speaker 16>is we're very focused on being national in America and

1:04:31.400 --> 1:04:36.000
<v Speaker 16>that is something that we continuously are focusing on. And

1:04:36.040 --> 1:04:38.080
<v Speaker 16>then with some of those companies like I think it's

1:04:38.080 --> 1:04:41.760
<v Speaker 16>a matter of time, like I just for whatever reason, bring.

1:04:41.600 --> 1:04:43.760
<v Speaker 12>Them revenue, you potentially bring them new customers.

1:04:44.040 --> 1:04:46.480
<v Speaker 16>We will absolutely drive in new shoppers that'll spend more

1:04:46.480 --> 1:04:48.919
<v Speaker 16>money in their stores. We'll help produce the waistline, drive

1:04:48.960 --> 1:04:51.120
<v Speaker 16>in like a contract of their waistline. So it's just

1:04:51.120 --> 1:04:53.560
<v Speaker 16>found money in a lot of ways. But the challenge

1:04:53.600 --> 1:04:55.720
<v Speaker 16>with big companies, and this is not just grocery, is

1:04:56.360 --> 1:04:58.720
<v Speaker 16>you have a strategic priority list. What do you pull

1:04:58.760 --> 1:05:01.680
<v Speaker 16>out to put some new in front of and who's

1:05:01.720 --> 1:05:04.440
<v Speaker 16>owning it, Who in the organization, who's allowed at speaker,

1:05:04.480 --> 1:05:07.440
<v Speaker 16>who has the most like opportunity to do it? And

1:05:07.480 --> 1:05:10.080
<v Speaker 16>that is the hard part of selling anything into a

1:05:10.120 --> 1:05:12.560
<v Speaker 16>massive company. It's not whether somebody wants to do a

1:05:12.560 --> 1:05:15.200
<v Speaker 16>thing or not, because a lot of folks and a

1:05:15.200 --> 1:05:17.760
<v Speaker 16>lot of companies are excited about new ideas. It's really like,

1:05:18.080 --> 1:05:19.880
<v Speaker 16>how do you get to the heart of what the

1:05:19.920 --> 1:05:22.920
<v Speaker 16>other person cares about enough to really drive something through.

1:05:23.280 --> 1:05:25.800
<v Speaker 16>And I think one thing I'll say is like we

1:05:25.800 --> 1:05:28.640
<v Speaker 16>were founded in Canada, Canadian company based in Toronto. Now

1:05:28.680 --> 1:05:31.840
<v Speaker 16>we predominantly American in terms of the store accountant and

1:05:32.080 --> 1:05:35.040
<v Speaker 16>a lot of our staff. But we had a pandemic

1:05:35.120 --> 1:05:37.640
<v Speaker 16>where I couldn't cross the border for two years. So,

1:05:37.840 --> 1:05:40.120
<v Speaker 16>like you, if you take away that block of time

1:05:40.160 --> 1:05:41.800
<v Speaker 16>and if I just happened to be stateside, I think

1:05:41.840 --> 1:05:43.800
<v Speaker 16>we would have had more of those names on sooner.

1:05:44.400 --> 1:05:46.760
<v Speaker 16>Now saying that we're in a very good position with

1:05:46.760 --> 1:05:48.480
<v Speaker 16>a lot of names that you're shared and we're really

1:05:48.520 --> 1:05:53.000
<v Speaker 16>focused on I think I think here in a couple

1:05:52.960 --> 1:05:55.160
<v Speaker 16>of months again and we'll have another update. I think

1:05:55.160 --> 1:05:56.440
<v Speaker 16>that's I think that's the right way to go.

1:05:56.560 --> 1:05:59.760
<v Speaker 4>Okay, So what different verticals are you thinking about next?

1:06:00.320 --> 1:06:02.840
<v Speaker 16>So one of the most exciting things that we're actually

1:06:02.960 --> 1:06:07.000
<v Speaker 16>doing right now with a third party delivery company one

1:06:07.040 --> 1:06:09.440
<v Speaker 16>of our grocery partners. All of our grocery partners have

1:06:09.520 --> 1:06:13.880
<v Speaker 16>distribution centers that have waste because they can't get through

1:06:13.920 --> 1:06:16.880
<v Speaker 16>so they bring all this food into these centralized locations

1:06:16.920 --> 1:06:18.200
<v Speaker 16>and then they try to send it out to their

1:06:18.240 --> 1:06:21.240
<v Speaker 16>stores and for whatever reason, there could be a breakdown.

1:06:21.280 --> 1:06:23.080
<v Speaker 16>There could be a snowstorm, there could be a flood,

1:06:23.080 --> 1:06:24.760
<v Speaker 16>and they can't get the food to their stores in time.

1:06:25.080 --> 1:06:27.920
<v Speaker 16>So at the distribution centers there happens to be a

1:06:28.040 --> 1:06:31.560
<v Speaker 16>higher amount than normal of fresh food waste. And what

1:06:31.640 --> 1:06:34.120
<v Speaker 16>we've done with one of our partners is partnered with

1:06:34.160 --> 1:06:38.080
<v Speaker 16>a third party delivery company and put a flash food storefront.

1:06:38.120 --> 1:06:42.080
<v Speaker 16>So they took a location on that distribution center's facility

1:06:42.680 --> 1:06:45.160
<v Speaker 16>and they retrofitted it. It was like an old guard shed.

1:06:45.200 --> 1:06:46.800
<v Speaker 16>They retrofitted it, cleaned it up, put a bunch of

1:06:46.840 --> 1:06:49.520
<v Speaker 16>fridges in and it's now a flash food storefront. And

1:06:49.560 --> 1:06:53.280
<v Speaker 16>we actually have a flash food by Meyer storefront in Lansing,

1:06:53.360 --> 1:06:56.520
<v Speaker 16>Michigan on the door dash app So if you're in Lansing, Michigan.

1:06:56.560 --> 1:06:59.400
<v Speaker 16>You can order groceries at up to fifty percent off

1:06:59.440 --> 1:07:00.320
<v Speaker 16>delivered to your door.

1:07:00.560 --> 1:07:03.800
<v Speaker 12>That's great. And what's the business been like with that model?

1:07:05.040 --> 1:07:05.120
<v Speaker 17>Right?

1:07:05.240 --> 1:07:08.560
<v Speaker 16>It's early and Lancing is the university town, so without

1:07:08.600 --> 1:07:13.040
<v Speaker 16>having the university in town, it's just there was yeah, no, no,

1:07:13.080 --> 1:07:16.280
<v Speaker 16>it's fine. There were just kinks to for example, like

1:07:16.320 --> 1:07:19.400
<v Speaker 16>at the beginning there was only five mile radius for delivery,

1:07:19.480 --> 1:07:21.880
<v Speaker 16>and just so happens at these facilities that are going

1:07:21.920 --> 1:07:24.760
<v Speaker 16>to be with every CpG or every food company are

1:07:24.800 --> 1:07:26.040
<v Speaker 16>going to be in places that not a lot of

1:07:26.080 --> 1:07:28.720
<v Speaker 16>people live. So you just you learn things as you go.

1:07:28.800 --> 1:07:31.080
<v Speaker 16>It's a brand new vertical for us, but that has

1:07:31.120 --> 1:07:33.560
<v Speaker 16>sense almost tripled in terms of like the coverage and

1:07:33.600 --> 1:07:34.120
<v Speaker 16>the radius.

1:07:34.320 --> 1:07:36.480
<v Speaker 12>What's the delivery time though, or the delivery is it

1:07:36.520 --> 1:07:37.640
<v Speaker 12>a long distance no?

1:07:38.000 --> 1:07:39.720
<v Speaker 16>Same day same same day delivery?

1:07:39.800 --> 1:07:39.920
<v Speaker 5>Ok?

1:07:40.320 --> 1:07:42.919
<v Speaker 12>And the cost for the delivery I.

1:07:42.840 --> 1:07:45.720
<v Speaker 16>Think it's five dollars depending on the order size, but

1:07:45.760 --> 1:07:47.280
<v Speaker 16>it's like between five and ten dollars.

1:07:47.280 --> 1:07:48.720
<v Speaker 5>But your order is up.

1:07:48.560 --> 1:07:50.800
<v Speaker 16>To fifty percent off the food that you're getting. So

1:07:51.360 --> 1:07:54.600
<v Speaker 16>this is a model that we're testing out now it's

1:07:54.640 --> 1:07:56.680
<v Speaker 16>going well, it's going better than we anticipated. At the

1:07:56.680 --> 1:07:59.120
<v Speaker 16>stage better than the original model. I think it can

1:07:59.160 --> 1:08:00.840
<v Speaker 16>be bigger than our origine a model in terms of

1:08:00.880 --> 1:08:04.080
<v Speaker 16>the amount of food waste production. I think it's different.

1:08:04.120 --> 1:08:06.640
<v Speaker 16>I think it adds a whole bunch of different partners.

1:08:06.640 --> 1:08:11.200
<v Speaker 16>I think all of these CpG companies have locations across America. Yeah,

1:08:11.240 --> 1:08:13.880
<v Speaker 16>consumer product good companies have I know that they have

1:08:14.000 --> 1:08:18.280
<v Speaker 16>locations across America that have wasted their facilities. Like, there's

1:08:18.360 --> 1:08:20.479
<v Speaker 16>a there's a scenario here where this could be a

1:08:20.520 --> 1:08:21.800
<v Speaker 16>really big vertical for us.

1:08:21.920 --> 1:08:23.760
<v Speaker 4>You also mentioned you have a bit of a reach

1:08:23.840 --> 1:08:24.560
<v Speaker 4>on TikTok.

1:08:24.880 --> 1:08:29.960
<v Speaker 12>Now, yeah, so the Joshtok no no, no, no, the

1:08:30.000 --> 1:08:32.240
<v Speaker 12>flash food brand, we would not we would not have

1:08:32.320 --> 1:08:37.519
<v Speaker 12>any reach if it was the Josh we're getting, like, yeah,

1:08:37.640 --> 1:08:38.880
<v Speaker 12>exactly and the kids.

1:08:39.000 --> 1:08:41.400
<v Speaker 16>That'll probably be more exciting as people are on boxing

1:08:41.439 --> 1:08:43.799
<v Speaker 16>and shoppers aren't boxing. So on flash fed, you buy

1:08:44.640 --> 1:08:47.120
<v Speaker 16>a box of produce and you see a picture of

1:08:47.120 --> 1:08:48.120
<v Speaker 16>what's going to be in it. But a lot of

1:08:48.160 --> 1:08:50.519
<v Speaker 16>times people are opening this box and they're seeing items

1:08:50.520 --> 1:08:52.680
<v Speaker 16>that they never tried before. So there's been like a

1:08:52.720 --> 1:08:56.160
<v Speaker 16>pretty big unboxing theme on TikTok where people are sharing

1:08:56.160 --> 1:08:58.519
<v Speaker 16>what they're getting and then they're also sharing. For example,

1:08:58.600 --> 1:09:01.400
<v Speaker 16>like one person getting one hundred bananas for five dollars,

1:09:01.600 --> 1:09:03.760
<v Speaker 16>they'll unbox it and they'll be like They'll know they're

1:09:03.760 --> 1:09:06.080
<v Speaker 16>getting a bunch of bananas, but they're like, Okay, what

1:09:06.120 --> 1:09:07.439
<v Speaker 16>am I going to do with all these bananas? And

1:09:07.439 --> 1:09:09.800
<v Speaker 16>then you'll see them share that. They'll be content going

1:09:09.840 --> 1:09:12.400
<v Speaker 16>back and people saying, try this, try this. And so

1:09:13.160 --> 1:09:14.960
<v Speaker 16>this is the other side of it, like we've built

1:09:15.000 --> 1:09:18.840
<v Speaker 16>a platform that's helping retailers make more money, reduce waste,

1:09:18.960 --> 1:09:21.120
<v Speaker 16>drive in new shoppers. But there's also a whole angle

1:09:21.160 --> 1:09:23.719
<v Speaker 16>here on like the origination of what are you making?

1:09:23.880 --> 1:09:25.320
<v Speaker 16>What are you doing in the kitchen? Like what are

1:09:25.360 --> 1:09:28.800
<v Speaker 16>you trying? What are you cooking? And it's becoming a

1:09:28.840 --> 1:09:30.960
<v Speaker 16>fun part of the process in a way that I

1:09:31.120 --> 1:09:32.839
<v Speaker 16>personally didn't anticipate when we started.

1:09:34.439 --> 1:09:37.680
<v Speaker 12>What's the most difficult part of the business.

1:09:37.760 --> 1:09:42.680
<v Speaker 16>Getting more retailers on board faster? That's it because I'll

1:09:42.680 --> 1:09:45.400
<v Speaker 16>sit down with an executive and share all the things

1:09:45.400 --> 1:09:47.920
<v Speaker 16>that I've shared on the show, and they're just there's

1:09:47.960 --> 1:09:51.000
<v Speaker 16>one executive of a big retailer who has whatever, almost

1:09:51.000 --> 1:09:53.920
<v Speaker 16>two thousand locations, and I was like, why don't you

1:09:53.960 --> 1:09:55.519
<v Speaker 16>just do this in all your stories. He's like, what

1:09:55.560 --> 1:09:59.240
<v Speaker 16>people don't realize is we have, however, many thousand employees,

1:09:59.280 --> 1:10:01.720
<v Speaker 16>however many undreds of thousands of shoppers that come into

1:10:01.720 --> 1:10:03.960
<v Speaker 16>the stores every day, and there was a coffee mug

1:10:04.040 --> 1:10:05.400
<v Speaker 16>in front of them. He's like, for me to get

1:10:05.439 --> 1:10:08.439
<v Speaker 16>this coffee mug, move from here to there in one

1:10:08.439 --> 1:10:12.519
<v Speaker 16>of our stores in Unison consistently on a daily basis

1:10:12.960 --> 1:10:16.439
<v Speaker 16>is a monumental task. And so as he was saying

1:10:16.439 --> 1:10:17.960
<v Speaker 16>it that way, I was like, Okay, Yeah, these are

1:10:17.960 --> 1:10:22.200
<v Speaker 16>big numbers. So the challenge is like getting scale faster

1:10:22.280 --> 1:10:25.960
<v Speaker 16>because we are tightly embedded with our grocery partners. We

1:10:25.960 --> 1:10:27.839
<v Speaker 16>don't have a business if it's not for our partners.

1:10:28.200 --> 1:10:30.240
<v Speaker 16>And that's unique in a lot of tech companies. And

1:10:30.280 --> 1:10:31.920
<v Speaker 16>we're not trying to come at this and be smarter

1:10:32.000 --> 1:10:35.000
<v Speaker 16>than them, because we're not. We just have one vertical

1:10:35.040 --> 1:10:36.880
<v Speaker 16>that can solve one part of the problem in a

1:10:36.920 --> 1:10:40.559
<v Speaker 16>really meaningful financial way. And just yeah, that's been it.

1:10:40.920 --> 1:10:43.200
<v Speaker 12>I gotta say, Son of a great interview is that

1:10:43.240 --> 1:10:45.599
<v Speaker 12>you're leaving and I still have like a dozen questions

1:10:45.600 --> 1:10:46.920
<v Speaker 12>I want to ask you. So you're going to have

1:10:46.920 --> 1:10:48.720
<v Speaker 12>to come back. It sounds like there's going to be

1:10:49.200 --> 1:10:52.599
<v Speaker 12>in the future. Just Imanus, he's founder in CEO flash Food.

1:10:52.640 --> 1:10:55.600
<v Speaker 12>Congratulations on the family and good to see you.

1:10:55.720 --> 1:10:56.840
<v Speaker 16>This be so much for happening.

1:10:57.960 --> 1:11:01.519
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:11:01.560 --> 1:11:05.040
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on.

1:11:04.960 --> 1:11:07.800
<v Speaker 6>Bloomberg dot com, the iHeartRadio app and the.

1:11:07.760 --> 1:11:11.799
<v Speaker 14>Bloomberg Business App, or want just live on YouTube.

1:11:12.640 --> 1:11:15.320
<v Speaker 2>As Matt Boyle, Senior Management and Workplace Reporter rights in

1:11:15.320 --> 1:11:19.120
<v Speaker 2>today's Big Take, it's hard to cast entire continents as monolithic.

1:11:19.200 --> 1:11:22.040
<v Speaker 2>That is, Asian workers are coming back, European nations are

1:11:22.080 --> 1:11:26.360
<v Speaker 2>adopting new policies, and US employers are fending for themselves.

1:11:26.560 --> 1:11:28.840
<v Speaker 2>We've got Matt with us right now. Once again, it

1:11:28.880 --> 1:11:32.000
<v Speaker 2>is Bloomberg, the Bloomberg Big Take. Matt's with us in

1:11:32.000 --> 1:11:35.120
<v Speaker 2>the Bloomberg Interactive Brookers Studio right now. So, Matt, I

1:11:35.160 --> 1:11:37.800
<v Speaker 2>gotta be honest with you. I've totally been thinking about

1:11:37.840 --> 1:11:39.120
<v Speaker 2>this from the US perspective.

1:11:39.479 --> 1:11:41.880
<v Speaker 7>Yeah, we all along. That's the problem that none of

1:11:41.960 --> 1:11:44.960
<v Speaker 7>us are stepping back. We see headlines, you know, Google

1:11:45.000 --> 1:11:48.280
<v Speaker 7>says this. Elon Musk says that you know, what's Goldman

1:11:48.360 --> 1:11:50.320
<v Speaker 7>Sacks up to. Oh they've gone to five days, and

1:11:50.360 --> 1:11:52.840
<v Speaker 7>we all sort of freak out about every individual. I'm

1:11:52.840 --> 1:11:55.759
<v Speaker 7>not to say those companies are not big, influential, blue

1:11:55.800 --> 1:11:58.559
<v Speaker 7>chip employers, but they're only a very small part of

1:11:58.640 --> 1:12:00.559
<v Speaker 7>the picture. So what we wanted to do the story

1:12:00.760 --> 1:12:04.320
<v Speaker 7>step back, what's going on in London versus Lisbon, what's

1:12:04.360 --> 1:12:07.280
<v Speaker 7>going on in Munich, you know, versus Mumbai for example.

1:12:07.600 --> 1:12:09.439
<v Speaker 7>Find the data. And the good thing now that we're

1:12:09.439 --> 1:12:11.719
<v Speaker 7>three and a half years into the pandemic, we finally

1:12:11.800 --> 1:12:15.639
<v Speaker 7>have some data coming out, some pretty reliable data on

1:12:15.800 --> 1:12:18.479
<v Speaker 7>you know, what are the different office attendance rates? And

1:12:18.520 --> 1:12:20.240
<v Speaker 7>then you've got to dig deeper though and figure out, Okay,

1:12:20.320 --> 1:12:23.400
<v Speaker 7>what's behind that is? What is shifting that shaping that?

1:12:23.800 --> 1:12:25.960
<v Speaker 7>Is it the way the city is laid out, is

1:12:26.000 --> 1:12:28.839
<v Speaker 7>it how long the commute is is it corporate culture

1:12:29.080 --> 1:12:31.280
<v Speaker 7>in that particular part of the world. And that's when

1:12:31.280 --> 1:12:32.200
<v Speaker 7>it gets really interesting.

1:12:32.479 --> 1:12:34.479
<v Speaker 4>What do you think we're the main catalysts when you're

1:12:34.520 --> 1:12:36.800
<v Speaker 4>looking at some of the counterparts in Europe as well

1:12:36.800 --> 1:12:39.240
<v Speaker 4>as Asia being able to return to the office faster

1:12:39.360 --> 1:12:40.400
<v Speaker 4>than us over here.

1:12:40.439 --> 1:12:42.400
<v Speaker 7>Well, just to start with Europe. One thing you're not

1:12:42.439 --> 1:12:45.639
<v Speaker 7>seeing here in the US is policy makers are playing

1:12:45.680 --> 1:12:48.759
<v Speaker 7>a huge role. In at least a half dozen European countries.

1:12:48.840 --> 1:12:52.479
<v Speaker 7>You have either remote work laws or what's called right

1:12:52.560 --> 1:12:56.200
<v Speaker 7>to disconnect laws where managers are not allowed to contact

1:12:56.200 --> 1:13:00.240
<v Speaker 7>certain types of workers after normal business hours, and has

1:13:00.280 --> 1:13:03.200
<v Speaker 7>a remote work law. The Netherlands has got one coming

1:13:03.200 --> 1:13:05.880
<v Speaker 7>in as soon as the Dutch Senate passes it any

1:13:05.960 --> 1:13:08.080
<v Speaker 7>day now. And then, you know, then you've got to

1:13:08.080 --> 1:13:11.080
<v Speaker 7>have a little counterpart between the employers who are probably

1:13:11.120 --> 1:13:14.200
<v Speaker 7>not too thrilled about the government coming and saying you

1:13:14.280 --> 1:13:17.320
<v Speaker 7>have to give your workers the right to lobby and

1:13:17.479 --> 1:13:19.360
<v Speaker 7>you know, make a proposal to say I should be

1:13:19.360 --> 1:13:21.639
<v Speaker 7>able to work remotely. I mean, could you imagine that

1:13:22.040 --> 1:13:24.040
<v Speaker 7>in New York? Imagine that in Texas?

1:13:24.640 --> 1:13:25.679
<v Speaker 4>I know I'm from Texas.

1:13:26.080 --> 1:13:27.559
<v Speaker 16>Yeah, I definitely can't imagine that.

1:13:28.160 --> 1:13:30.799
<v Speaker 2>No, I mean, Matt, you write about it in Europe,

1:13:31.080 --> 1:13:34.000
<v Speaker 2>not just the right to disconnect laws, but Unilever, for example,

1:13:34.120 --> 1:13:36.400
<v Speaker 2>doing a four day work week. I mean, that's something

1:13:36.439 --> 1:13:38.480
<v Speaker 2>that's completely foreign to US Americans.

1:13:38.560 --> 1:13:41.280
<v Speaker 7>Yes, although there they were doing it, not in Europe,

1:13:41.280 --> 1:13:44.479
<v Speaker 7>but in New Zealand and Australia and those are two

1:13:44.520 --> 1:13:46.360
<v Speaker 7>of the countries where you see some of the highest

1:13:46.479 --> 1:13:49.160
<v Speaker 7>rates of remote work and some of the more English

1:13:49.200 --> 1:13:51.599
<v Speaker 7>speaking countries you do see more. So it makes sense

1:13:51.640 --> 1:13:53.439
<v Speaker 7>for them to try it there. Are they going to

1:13:53.439 --> 1:13:56.240
<v Speaker 7>bring it to the Netherlands and the UK, we'll see.

1:13:56.400 --> 1:13:59.240
<v Speaker 2>Okay, you've got some just absolutely great data in this story.

1:13:59.280 --> 1:14:02.559
<v Speaker 2>You point to McKinsey study that said by the year

1:14:02.640 --> 1:14:07.759
<v Speaker 2>twenty thirty, we could actually see one point three trillion

1:14:07.800 --> 1:14:10.040
<v Speaker 2>dollars of real estate value in big cities around the

1:14:10.040 --> 1:14:14.280
<v Speaker 2>world erased as a result of differing remote work policies.

1:14:15.840 --> 1:14:20.000
<v Speaker 2>That's bad. We know that. That's bad. What do policymakers

1:14:20.040 --> 1:14:22.360
<v Speaker 2>say about that? And what do companies are What are

1:14:22.400 --> 1:14:23.360
<v Speaker 2>companies doing to try to.

1:14:23.280 --> 1:14:25.840
<v Speaker 7>Well, there's what landlords are saying about it. First, Yes,

1:14:25.960 --> 1:14:28.560
<v Speaker 7>that is bad if you are a landlord, or if

1:14:28.600 --> 1:14:31.240
<v Speaker 7>you're a landlord with Class B and Class C real estate,

1:14:31.320 --> 1:14:33.759
<v Speaker 7>you know, the Class A stuff seems to be doing okay.

1:14:34.040 --> 1:14:36.519
<v Speaker 7>But again, what's really struck me was that how differently

1:14:36.560 --> 1:14:39.120
<v Speaker 7>that's playing out in New York and San Francisco a

1:14:39.240 --> 1:14:43.080
<v Speaker 7>much deeper impact because you have you know, downtown business districts.

1:14:43.120 --> 1:14:45.600
<v Speaker 7>Let's say, right here in Manhattan, where you don't have

1:14:45.840 --> 1:14:48.680
<v Speaker 7>as many people living and working and playing as you do,

1:14:48.760 --> 1:14:51.960
<v Speaker 7>and let's say a European city, which are much more intermixed,

1:14:52.000 --> 1:14:55.200
<v Speaker 7>so you have less of an impact on workers, you

1:14:55.240 --> 1:14:57.679
<v Speaker 7>have more of an impact on real estate landlords in

1:14:57.760 --> 1:14:59.040
<v Speaker 7>some of these cities like New York.

1:14:59.120 --> 1:15:00.840
<v Speaker 2>But I wonder if what the sh shift, if there's

1:15:00.880 --> 1:15:03.640
<v Speaker 2>a shift happening here, like if the pie doesn't necessarily

1:15:03.680 --> 1:15:05.760
<v Speaker 2>change sizes, but if different slices get bigger. And I

1:15:05.760 --> 1:15:08.000
<v Speaker 2>can give you my anecdotal example, Matt, that I've talked about.

1:15:08.080 --> 1:15:09.680
<v Speaker 2>I mean, people listening to this have been tired of

1:15:09.720 --> 1:15:12.599
<v Speaker 2>hearing this. But you know, when I was on a

1:15:12.640 --> 1:15:17.880
<v Speaker 2>parental leave earlier this summer, I noticed that restaurants in

1:15:17.920 --> 1:15:21.479
<v Speaker 2>my neighborhood of Brooklyn were like as as crowded as

1:15:21.479 --> 1:15:24.400
<v Speaker 2>they were on weekends because remote workers were actually now

1:15:24.439 --> 1:15:26.000
<v Speaker 2>going to them during the day. And I just thought

1:15:26.000 --> 1:15:28.000
<v Speaker 2>about the way that exact ending his shift.

1:15:28.080 --> 1:15:30.160
<v Speaker 7>That's why Sweet Green is opening in the suburbs. That's

1:15:30.160 --> 1:15:33.360
<v Speaker 7>why Pretemage is opening outside of city centers.

1:15:33.120 --> 1:15:33.679
<v Speaker 5>In the UK.

1:15:33.800 --> 1:15:35.800
<v Speaker 7>I mean, businesses are not dumb. They're going to go

1:15:35.880 --> 1:15:39.160
<v Speaker 7>where the customers are certainly so, Yes, if you're living

1:15:39.160 --> 1:15:42.280
<v Speaker 7>in Brooklyn or by me and Westchester. In my town

1:15:42.320 --> 1:15:46.000
<v Speaker 7>in Westchester, sleepy suburban town now has a flex work

1:15:46.400 --> 1:15:48.880
<v Speaker 7>center right next to the train station. So I'm going

1:15:48.920 --> 1:15:50.360
<v Speaker 7>to try it out and just like hang out in

1:15:50.400 --> 1:15:52.120
<v Speaker 7>the flex work center to do it for work in

1:15:52.160 --> 1:15:54.720
<v Speaker 7>the middle of west I mean, why not would this

1:15:54.760 --> 1:15:58.559
<v Speaker 7>have happened in twenty nineteen? Of course not so, Yes,

1:15:58.600 --> 1:16:01.280
<v Speaker 7>the pie is being Redistris did. But if you're not

1:16:01.439 --> 1:16:04.160
<v Speaker 7>moving with the times and realizing that the way we

1:16:04.200 --> 1:16:06.680
<v Speaker 7>work is different now and that you know, work is

1:16:06.720 --> 1:16:08.840
<v Speaker 7>no longer a place we go it is it is

1:16:08.880 --> 1:16:11.559
<v Speaker 7>a thing we do, some people are going to get

1:16:11.600 --> 1:16:12.719
<v Speaker 7>some very hard lessons here.

1:16:12.880 --> 1:16:15.720
<v Speaker 4>So when you're speaking with your sources, because this is Bloomberg,

1:16:15.760 --> 1:16:17.640
<v Speaker 4>obviously we're going to talk about what this means for

1:16:17.680 --> 1:16:20.160
<v Speaker 4>the economy. How does that offset when you're talking about

1:16:20.200 --> 1:16:23.000
<v Speaker 4>consumers and spending versus obviously the issues we continue to

1:16:23.000 --> 1:16:24.800
<v Speaker 4>talk about when it comes to real estate and trying

1:16:24.840 --> 1:16:26.320
<v Speaker 4>to get people back into offices.

1:16:26.560 --> 1:16:28.439
<v Speaker 7>Well, I mean what struck me as a former retail

1:16:28.560 --> 1:16:30.200
<v Speaker 7>reporter was that some of you know, some of these

1:16:30.240 --> 1:16:33.040
<v Speaker 7>changes really echo you know, the what we used to

1:16:33.080 --> 1:16:35.519
<v Speaker 7>call the retail apocalypse, right, you know, when all the

1:16:35.600 --> 1:16:38.400
<v Speaker 7>malls were dying, and what we're going to do about malls, well,

1:16:38.640 --> 1:16:42.040
<v Speaker 7>maybe repurpose them people, you know, and you had started

1:16:42.040 --> 1:16:45.799
<v Speaker 7>to see that certainly. And I know you cannot convert

1:16:45.880 --> 1:16:49.360
<v Speaker 7>every single office building into condos, we know how hard

1:16:49.400 --> 1:16:49.840
<v Speaker 7>that is.

1:16:49.960 --> 1:16:50.840
<v Speaker 5>But could they be.

1:16:50.800 --> 1:16:54.639
<v Speaker 7>Converted into other uses? Certainly? I think we do very

1:16:54.640 --> 1:16:57.040
<v Speaker 7>well here at Bloomberg as we follow the money, and

1:16:57.120 --> 1:16:59.160
<v Speaker 7>you know, right now, the money and the spending, as

1:16:59.240 --> 1:17:01.720
<v Speaker 7>you know, as Tim saying, is sometimes being spent in

1:17:01.800 --> 1:17:04.519
<v Speaker 7>more residential neighborhood. So is that where you should be

1:17:04.600 --> 1:17:06.759
<v Speaker 7>opening up if you're selling sandwiches and salads?

1:17:06.800 --> 1:17:07.240
<v Speaker 5>Probably?

1:17:07.479 --> 1:17:11.920
<v Speaker 2>Okay, let's talk about the most important thing for employers, productivity,

1:17:11.920 --> 1:17:13.800
<v Speaker 2>because they're you know, every few weeks we get this

1:17:13.840 --> 1:17:17.080
<v Speaker 2>new study and you said a couple of them. Remote

1:17:17.120 --> 1:17:20.160
<v Speaker 2>workers are more productive in some countries. Remote workers are

1:17:20.280 --> 1:17:24.840
<v Speaker 2>less less productive when doing other tasks in other countries. Holistically,

1:17:24.840 --> 1:17:26.479
<v Speaker 2>taken together, what does the data tell us.

1:17:26.800 --> 1:17:31.559
<v Speaker 7>It's tough because productivity is vastly misunderstood, and everybody loves

1:17:31.600 --> 1:17:34.200
<v Speaker 7>to take their favorite bit of research that supports whatever

1:17:34.240 --> 1:17:36.519
<v Speaker 7>their conclusion is and wave it around, you know, and

1:17:36.560 --> 1:17:37.240
<v Speaker 7>saying I.

1:17:37.240 --> 1:17:39.920
<v Speaker 5>Was right, I was right, there was.

1:17:40.040 --> 1:17:42.959
<v Speaker 7>But there were studies on remote work even before the pandemic.

1:17:42.960 --> 1:17:45.280
<v Speaker 7>One of the most famous one was about Chinese call

1:17:45.320 --> 1:17:49.879
<v Speaker 7>center workers who when they went remote were just as productive,

1:17:49.920 --> 1:17:53.599
<v Speaker 7>if not more, and happier, more satisfied. That's what we

1:17:53.640 --> 1:17:55.920
<v Speaker 7>often fail to realize with a lot of these a

1:17:56.000 --> 1:17:59.080
<v Speaker 7>lot of these studies, tim is that regardless of where

1:17:59.120 --> 1:18:02.200
<v Speaker 7>productivity goes, and productivity is often in the eye that beholder.

1:18:02.479 --> 1:18:04.599
<v Speaker 7>Is it how many emails did you send out today?

1:18:04.840 --> 1:18:07.000
<v Speaker 7>And if so, why are you measuring productivity by how

1:18:07.040 --> 1:18:08.240
<v Speaker 7>many emails you sent out?

1:18:08.280 --> 1:18:08.479
<v Speaker 5>You know?

1:18:08.600 --> 1:18:11.040
<v Speaker 7>Or how many hours were you in the office? Remember

1:18:11.080 --> 1:18:13.320
<v Speaker 7>the workaholics of the nineties, or were the last guy

1:18:13.400 --> 1:18:16.040
<v Speaker 7>to leave the office? Where are they now? Maybe some

1:18:16.080 --> 1:18:18.519
<v Speaker 7>of them are CEOs, but you know, do they regret

1:18:18.560 --> 1:18:20.240
<v Speaker 7>being the last guy in the office every day? Were

1:18:20.240 --> 1:18:22.960
<v Speaker 7>they most Were they the most productive? Though probably not?

1:18:23.120 --> 1:18:25.559
<v Speaker 7>Were they Were they the most satisfied? Probably not?

1:18:25.960 --> 1:18:26.040
<v Speaker 5>So.

1:18:26.080 --> 1:18:27.479
<v Speaker 7>I think we need to take a little bit more

1:18:27.479 --> 1:18:30.640
<v Speaker 7>holistic view of productivity and realize that you have to

1:18:30.680 --> 1:18:32.960
<v Speaker 7>look at employee engagement. You have to look at whether

1:18:33.600 --> 1:18:36.640
<v Speaker 7>your employees are being challenged, they're doing the test they

1:18:36.680 --> 1:18:38.680
<v Speaker 7>want to do with the people that they want to

1:18:38.720 --> 1:18:40.360
<v Speaker 7>do it with. You know, are they coming in on

1:18:40.439 --> 1:18:42.559
<v Speaker 7>the right days. Don't have to be in five days

1:18:42.560 --> 1:18:44.479
<v Speaker 7>a week, but are you coming on the days that matter?

1:18:45.439 --> 1:18:48.040
<v Speaker 7>Where there's intentionality, when you have something to do, a

1:18:48.200 --> 1:18:51.320
<v Speaker 7>reason to be in the office, you know, mentoring for example,

1:18:51.520 --> 1:18:54.360
<v Speaker 7>a brainstorming session that is better done in person. And

1:18:54.400 --> 1:18:56.840
<v Speaker 7>when you're home you're doing your heads down focused work.

1:18:57.000 --> 1:18:59.679
<v Speaker 2>Now you're going to help me build this incredible Bloomberg

1:18:59.680 --> 1:19:02.200
<v Speaker 2>studio at my two better apartment.

1:19:02.400 --> 1:19:04.400
<v Speaker 7>Yeah, okay, cool, we have a butch you for it.

1:19:04.479 --> 1:19:06.280
<v Speaker 2>Let's do it perfect, Let's do it. Hey, this is

1:19:06.320 --> 1:19:08.240
<v Speaker 2>a great piece. I encourage everybody to check out. It

1:19:08.280 --> 1:19:10.160
<v Speaker 2>is Today's a big take, a great one to read

1:19:10.600 --> 1:19:12.519
<v Speaker 2>just right after Labor Day as well. Matt Boyle is

1:19:12.600 --> 1:19:15.400
<v Speaker 2>senior Management and workplace reporter. You got to read everything

1:19:15.400 --> 1:19:17.400
<v Speaker 2>that he and his team are right. It is a

1:19:17.400 --> 1:19:19.400
<v Speaker 2>great story. He's of course with our colleague here at

1:19:19.400 --> 1:19:24.880
<v Speaker 2>Bloomberg News. He's with us in the Bloomberg Interactive Brookers Studio.

1:19:29.400 --> 1:19:32.960
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:19:33.000 --> 1:19:37.000
<v Speaker 1>live weekday afternoons from three to six Eastern on Bloomberg Radio,

1:19:37.200 --> 1:19:40.479
<v Speaker 1>the Bloomberg Business App and YouTube. You can also listen

1:19:40.600 --> 1:19:43.679
<v Speaker 1>live on Amazon Alexa from our flagship New York station,

1:19:44.160 --> 1:19:46.920
<v Speaker 1>Just Say Alexa Play Bloomberg eleven thirty.

1:19:48.680 --> 1:19:51.240
<v Speaker 12>Katrina Adams for President, Chairman and c. You have the

1:19:51.320 --> 1:19:54.519
<v Speaker 12>US Tennis Association, Chair of the US Open, as well

1:19:54.560 --> 1:19:56.640
<v Speaker 12>as the chair of the International Tennis Federation Cup and

1:19:56.720 --> 1:20:01.160
<v Speaker 12>Gender Quality and Tennis committees. Former pro tennis pro double specialist,

1:20:02.240 --> 1:20:05.040
<v Speaker 12>and I could go on and on and on. You're amazing,

1:20:05.200 --> 1:20:07.120
<v Speaker 12>Thank you, thank you for coming back and finding time, and.

1:20:07.120 --> 1:20:09.280
<v Speaker 5>You're busy, always excited to be here with you guys.

1:20:09.320 --> 1:20:11.160
<v Speaker 12>Well, tell us about what you're excited about this year

1:20:11.200 --> 1:20:11.679
<v Speaker 12>at the Open.

1:20:11.760 --> 1:20:12.640
<v Speaker 9>Oh my goodness to see you.

1:20:12.640 --> 1:20:13.080
<v Speaker 5>What's open?

1:20:13.200 --> 1:20:17.160
<v Speaker 17>It's facular, right, I mean, everything that's happening here. I mean,

1:20:17.200 --> 1:20:19.360
<v Speaker 17>you know, obviously you just mentioned Venus Williams. Just to

1:20:19.400 --> 1:20:22.080
<v Speaker 17>see her back on the court again, you know, since

1:20:22.160 --> 1:20:25.280
<v Speaker 17>nineteen ninety four. I was sitting in her box in

1:20:25.320 --> 1:20:27.760
<v Speaker 17>nineteen ninety seven when she played her first final and

1:20:27.800 --> 1:20:30.639
<v Speaker 17>lost to Ortina Hingis. I was here when she played

1:20:30.720 --> 1:20:34.920
<v Speaker 17>the final against Serena Serena, her sister. Yeah, when Serena

1:20:34.960 --> 1:20:37.320
<v Speaker 17>won in ninety nine. But you know when you look

1:20:37.360 --> 1:20:42.160
<v Speaker 17>at the emergence of Cococa Off and Francis Tifo and

1:20:42.240 --> 1:20:46.240
<v Speaker 17>Jess Pagoula, and and you know, Michael Moe look what

1:20:46.280 --> 1:20:48.840
<v Speaker 17>he did today taking out John Isner and so many

1:20:48.880 --> 1:20:53.280
<v Speaker 17>young players, Ben Shelton. It's exciting for the American players,

1:20:53.320 --> 1:20:56.320
<v Speaker 17>Tommy Paul. There's so many I can't even name them

1:20:56.360 --> 1:20:58.040
<v Speaker 17>all right now, And you know there was a time

1:20:58.080 --> 1:20:59.880
<v Speaker 17>I could I could name them all on one hand?

1:21:00.200 --> 1:21:03.000
<v Speaker 2>Does it feel like we're sort of in a you know,

1:21:03.320 --> 1:21:06.679
<v Speaker 2>Andrea AGAs, see Pete Sampress, Jim Curry or Michael Chang

1:21:06.840 --> 1:21:08.880
<v Speaker 2>sort of era where we have these Americans.

1:21:09.040 --> 1:21:11.560
<v Speaker 17>Let's not get ahead of ourselves.

1:21:11.640 --> 1:21:12.599
<v Speaker 5>Let's let's yeah.

1:21:12.600 --> 1:21:15.639
<v Speaker 17>I think that we have the ability to get there,

1:21:15.680 --> 1:21:18.479
<v Speaker 17>because when you talk about Taylor Fritz and tifone in

1:21:18.520 --> 1:21:21.479
<v Speaker 17>the top ten, and Paul, Tommy Paul and knocking on

1:21:21.479 --> 1:21:24.479
<v Speaker 17>the door and Ben Shelton, those guys are knocking on

1:21:24.520 --> 1:21:27.280
<v Speaker 17>the door. Yes, we'll get there. But until they start

1:21:27.280 --> 1:21:30.719
<v Speaker 17>winning majors like Pete Samprass and Andrea Agassi and Jim

1:21:30.720 --> 1:21:33.639
<v Speaker 17>Curry and Michael Chang, then it's it's a different it's

1:21:33.640 --> 1:21:34.360
<v Speaker 17>a different story.

1:21:34.400 --> 1:21:38.000
<v Speaker 5>But it's a long time. It's good, but it's a long.

1:21:37.800 --> 1:21:40.040
<v Speaker 17>Time coming to be able to talk about these guys

1:21:40.600 --> 1:21:43.600
<v Speaker 17>being in these majors, get into the second weeks consistently

1:21:44.400 --> 1:21:46.400
<v Speaker 17>and then having some new names to join that on

1:21:46.439 --> 1:21:48.599
<v Speaker 17>the men's side. We've always been down on women's side,

1:21:48.720 --> 1:21:51.080
<v Speaker 17>but to be able to talk about these these men

1:21:51.600 --> 1:21:52.559
<v Speaker 17>is really exciting.

1:21:52.640 --> 1:21:54.519
<v Speaker 12>Gudrida. What is it that kind of keeps the younger

1:21:54.520 --> 1:21:55.920
<v Speaker 12>generation coming back to tennis?

1:21:57.360 --> 1:21:59.800
<v Speaker 17>I think being able to see players like we just

1:22:00.600 --> 1:22:02.479
<v Speaker 17>on the court week in and week out, you know,

1:22:02.520 --> 1:22:05.080
<v Speaker 17>and at these majors going deep to motivate the young

1:22:05.200 --> 1:22:07.880
<v Speaker 17>kids to want to get into the sport. So when

1:22:07.920 --> 1:22:12.040
<v Speaker 17>you talk about Fritz and TFO and Paul, you know

1:22:12.040 --> 1:22:14.400
<v Speaker 17>who were they watching when they were young kids, who

1:22:14.479 --> 1:22:17.360
<v Speaker 17>motivated them to get into the sport. And for them,

1:22:17.400 --> 1:22:19.400
<v Speaker 17>I think when they came up through the USC Player

1:22:19.439 --> 1:22:23.280
<v Speaker 17>Development program where they really got to travel together, train together,

1:22:23.479 --> 1:22:26.639
<v Speaker 17>motivate one another, push one another. They're still doing that

1:22:27.680 --> 1:22:29.880
<v Speaker 17>and they were looking up to the John Isners of

1:22:29.920 --> 1:22:32.280
<v Speaker 17>the world, the Jack Socks of the world, both who

1:22:32.360 --> 1:22:35.800
<v Speaker 17>are retiring here. John isn't played his last singles match

1:22:35.840 --> 1:22:38.400
<v Speaker 17>here and he and Jack are playing doubles later today

1:22:38.680 --> 1:22:42.240
<v Speaker 17>it's this Jack's last tournament where he'll be retiring. So

1:22:43.120 --> 1:22:45.680
<v Speaker 17>I think it's generational. You know, Mike and Bob they

1:22:45.720 --> 1:22:49.040
<v Speaker 17>retired last year, two years ago. Now Mike and Bob

1:22:49.120 --> 1:22:53.280
<v Speaker 17>Ryan and so I think, you know, each generation inspires

1:22:53.320 --> 1:22:57.440
<v Speaker 17>the next generation, and it's fun to watch these brotherhoods

1:22:57.439 --> 1:22:59.920
<v Speaker 17>and sisterhoods form and develop.

1:23:00.120 --> 1:23:03.200
<v Speaker 2>I still have this question about access. You know, tennis

1:23:03.200 --> 1:23:04.960
<v Speaker 2>for a lot of people looked at as like a

1:23:05.000 --> 1:23:08.719
<v Speaker 2>country club sport. Still it's very expensive to get courts

1:23:08.720 --> 1:23:10.960
<v Speaker 2>and cities, especially during the winter if you live somewhere

1:23:10.960 --> 1:23:15.880
<v Speaker 2>where it snows, I mean Tiapo for example. Let's look

1:23:15.880 --> 1:23:18.200
<v Speaker 2>at his story. Would he be a pro tennis player

1:23:18.200 --> 1:23:20.360
<v Speaker 2>if his dad didn't work at a tennis center. I

1:23:20.360 --> 1:23:22.080
<v Speaker 2>don't know if the answer to that good.

1:23:22.360 --> 1:23:24.920
<v Speaker 17>Because he grew up in an njtail program. So the

1:23:24.960 --> 1:23:28.680
<v Speaker 17>program itself was accessible, The program itself was free. The

1:23:28.720 --> 1:23:31.320
<v Speaker 17>program itself, you know, provided opportunity.

1:23:31.360 --> 1:23:32.120
<v Speaker 9>I run a.

1:23:32.040 --> 1:23:34.479
<v Speaker 17>Program like that here in harlanm the Harlem Junior Tennis,

1:23:34.520 --> 1:23:38.840
<v Speaker 17>an education program which provides access and opportunity for inner

1:23:38.840 --> 1:23:41.840
<v Speaker 17>city youth. There are over two hundred those types of

1:23:41.920 --> 1:23:45.960
<v Speaker 17>chapters in jtail chapters around the country in addition to

1:23:46.040 --> 1:23:50.400
<v Speaker 17>after school program so access is available. It's not about

1:23:50.400 --> 1:23:53.799
<v Speaker 17>having access. It's not about learning the sport. It's about

1:23:53.840 --> 1:23:56.920
<v Speaker 17>once you develop to be a player and you become competitive,

1:23:57.479 --> 1:23:58.880
<v Speaker 17>that's where the cost comes.

1:23:58.960 --> 1:24:02.120
<v Speaker 2>Okay, here's my concern. Every tennis court I see is

1:24:02.160 --> 1:24:03.599
<v Speaker 2>being turned into a pickleball court.

1:24:03.840 --> 1:24:05.960
<v Speaker 5>Not every tennis court. Let's not. Let's not put that

1:24:06.000 --> 1:24:06.479
<v Speaker 5>out there now.

1:24:06.520 --> 1:24:09.280
<v Speaker 2>This is this is driving me crazy. Thank you.

1:24:09.800 --> 1:24:10.040
<v Speaker 15>I know.

1:24:10.200 --> 1:24:11.639
<v Speaker 2>This is when you when you speak to a serious

1:24:11.640 --> 1:24:13.679
<v Speaker 2>tennis player and you ask them about pickleball, that's the answer.

1:24:14.280 --> 1:24:15.400
<v Speaker 5>So what's the challenge?

1:24:15.439 --> 1:24:17.639
<v Speaker 17>So I think the challenge where you're looking at those

1:24:17.720 --> 1:24:21.799
<v Speaker 17>courts are probably at clubs because clubs are about making money.

1:24:22.000 --> 1:24:24.160
<v Speaker 17>So our club is looking at taking a court, one

1:24:24.240 --> 1:24:27.360
<v Speaker 17>tennis court and turn into four pickleball courts where they

1:24:27.360 --> 1:24:30.280
<v Speaker 17>can try. Now they've they've got sixteen players on a

1:24:30.320 --> 1:24:33.760
<v Speaker 17>court versus four, right, So they're looking at the opportunity

1:24:33.800 --> 1:24:37.360
<v Speaker 17>to be able to make more money. To you know,

1:24:37.400 --> 1:24:41.000
<v Speaker 17>it's about monetization. But I also think, listen, I have

1:24:41.040 --> 1:24:43.400
<v Speaker 17>nothing against pickleball. I think it's a great opportunity for

1:24:43.439 --> 1:24:47.679
<v Speaker 17>people to get out and get exercise, to have fun,

1:24:48.160 --> 1:24:51.719
<v Speaker 17>to be social. I think it's fantastic. There's a great

1:24:51.760 --> 1:24:55.639
<v Speaker 17>buzz out there, but it's about longevity. Where where where

1:24:55.680 --> 1:24:59.839
<v Speaker 17>will it go? I think it's growing, But I also

1:25:00.240 --> 1:25:02.320
<v Speaker 17>I don't want to say it's a fad because you

1:25:02.840 --> 1:25:05.799
<v Speaker 17>want it. You want all the racket sports to succeed.

1:25:05.920 --> 1:25:08.240
<v Speaker 17>It's a racket sport. We are a racket sport in tennis.

1:25:08.800 --> 1:25:12.280
<v Speaker 17>But what I do want is that it's done right

1:25:12.360 --> 1:25:15.240
<v Speaker 17>in that people are staying healthy. It's also a sport

1:25:15.280 --> 1:25:19.360
<v Speaker 17>where the highest injuries are coming because everybody thinks they

1:25:19.400 --> 1:25:22.240
<v Speaker 17>can go out and play pickleball, and you know, they're

1:25:22.320 --> 1:25:24.960
<v Speaker 17>running their knees and ankles and they're falling and this

1:25:25.000 --> 1:25:27.320
<v Speaker 17>and that, and so I think there just has to

1:25:27.320 --> 1:25:29.799
<v Speaker 17>be a little more structured to it. You know, tennis

1:25:29.880 --> 1:25:33.080
<v Speaker 17>is a skilled sport and it's a mechanical sport. So

1:25:33.280 --> 1:25:36.080
<v Speaker 17>is pickleball. But people aren't realizing that they're able to

1:25:36.120 --> 1:25:38.719
<v Speaker 17>go out and learn and make you know, hand eye

1:25:38.760 --> 1:25:43.120
<v Speaker 17>coordination quickly without really understanding the mechanics of it or

1:25:43.160 --> 1:25:45.600
<v Speaker 17>the footwork of it, and that's where they're starting to

1:25:45.600 --> 1:25:46.120
<v Speaker 17>get injured.

1:25:46.280 --> 1:25:47.960
<v Speaker 12>What do you love that people talk about when it

1:25:48.000 --> 1:25:50.160
<v Speaker 12>comes to tennis generally, what do you hate that they

1:25:50.200 --> 1:25:50.719
<v Speaker 12>talk about?

1:25:51.479 --> 1:25:54.240
<v Speaker 17>What I love is that it's an individual sport where

1:25:54.280 --> 1:25:57.479
<v Speaker 17>you can just go out and build your own self

1:25:57.600 --> 1:26:01.160
<v Speaker 17>esteem and your self confidence. Right you're figuring out Oh

1:26:01.200 --> 1:26:02.040
<v Speaker 17>my gosh, yes.

1:26:01.960 --> 1:26:02.240
<v Speaker 5>I mean.

1:26:02.320 --> 1:26:07.160
<v Speaker 17>I love to compete. I'm a natural, boring competitor. So

1:26:07.200 --> 1:26:09.479
<v Speaker 17>for me, it was about competing not just against you,

1:26:09.560 --> 1:26:13.240
<v Speaker 17>but against myself and getting better, pushing myself to hit

1:26:13.280 --> 1:26:16.200
<v Speaker 17>one extra ball, pushing myself to go one more rally,

1:26:16.240 --> 1:26:19.599
<v Speaker 17>pushing myself to do one more drill, and pushing myself

1:26:19.640 --> 1:26:22.360
<v Speaker 17>to get better. Every single day I went on the court,

1:26:22.880 --> 1:26:26.120
<v Speaker 17>learning a new shot, learning a new spin, And I

1:26:26.120 --> 1:26:29.719
<v Speaker 17>think that's the thrill that I had that hopefully everybody

1:26:29.760 --> 1:26:32.080
<v Speaker 17>else is having. You know, even I speak to a

1:26:32.160 --> 1:26:35.400
<v Speaker 17>lot of older women that may not be started until

1:26:35.400 --> 1:26:37.800
<v Speaker 17>they're at forty, and they're going out and they're learning

1:26:37.800 --> 1:26:41.040
<v Speaker 17>at forty fifty and they're becoming these three point zero

1:26:41.120 --> 1:26:43.519
<v Speaker 17>level players and having so much fun, and just a

1:26:43.600 --> 1:26:46.920
<v Speaker 17>thrill that excites me the fact that you could start

1:26:47.040 --> 1:26:49.639
<v Speaker 17>so late and have so much fun. It's not going

1:26:49.640 --> 1:26:52.000
<v Speaker 17>out there being you know, playing here at the US

1:26:52.080 --> 1:26:55.240
<v Speaker 17>Open for everybody, but just to go out and have

1:26:55.280 --> 1:26:58.680
<v Speaker 17>fun and build a camaraderie with people and still have

1:26:58.920 --> 1:27:02.920
<v Speaker 17>a competitive drive and natural competitive drive in yourself. So

1:27:03.080 --> 1:27:04.559
<v Speaker 17>there's nothing that I hate about the sport.

1:27:04.680 --> 1:27:06.439
<v Speaker 12>Okay, So then what I want to ask you is,

1:27:06.479 --> 1:27:08.640
<v Speaker 12>I'm thinking about Michelle Obama who at the beginning of

1:27:08.680 --> 1:27:11.160
<v Speaker 12>the week was talking about just equality and pay. And

1:27:11.240 --> 1:27:13.240
<v Speaker 12>here we are, and you know, Tim knows we talk

1:27:13.280 --> 1:27:14.640
<v Speaker 12>about this all the time, that we continue to have

1:27:14.720 --> 1:27:17.000
<v Speaker 12>these conversations and it's the same thing with women in

1:27:17.200 --> 1:27:20.080
<v Speaker 12>you know, the CEO role. How do you feel about it?

1:27:20.120 --> 1:27:22.160
<v Speaker 12>Why does it take so long for their baby parody

1:27:22.240 --> 1:27:22.639
<v Speaker 12>with pay?

1:27:24.040 --> 1:27:26.479
<v Speaker 17>I think it's it's life, right, it's parody. There's no

1:27:26.560 --> 1:27:30.599
<v Speaker 17>parody in plant paid anything that we have. So fifty

1:27:30.720 --> 1:27:32.840
<v Speaker 17>years of equal pay here at the US Open, I

1:27:32.880 --> 1:27:35.640
<v Speaker 17>mean that that says a lot. Yeah, we finally have

1:27:36.320 --> 1:27:40.040
<v Speaker 17>parody and in pay at all of the Grand Slam events.

1:27:40.280 --> 1:27:42.400
<v Speaker 17>Fifty years here, we have it at all of the

1:27:42.400 --> 1:27:47.400
<v Speaker 17>Grand Slams in Australian Roland girls and Wimbledon. Wimbledon was

1:27:47.400 --> 1:27:52.120
<v Speaker 17>the last one two thousand and two, but or twelve.

1:27:52.800 --> 1:27:57.400
<v Speaker 17>But when we look at the tours and we have

1:27:57.479 --> 1:28:01.000
<v Speaker 17>our joint events, and the mind the eighth event is

1:28:01.000 --> 1:28:04.360
<v Speaker 17>still getting paid more than the women at the same event, the.

1:28:04.320 --> 1:28:06.120
<v Speaker 12>Same week, significant location.

1:28:06.800 --> 1:28:11.160
<v Speaker 17>That's where it's challenging. It's getting better, but it's about sponsorship.

1:28:11.200 --> 1:28:13.920
<v Speaker 17>You know, why are we not getting the same level

1:28:13.920 --> 1:28:16.960
<v Speaker 17>of sponsorship for the WCA or for the women events

1:28:17.360 --> 1:28:19.920
<v Speaker 17>that the men are And so, you know, thank God

1:28:19.960 --> 1:28:23.040
<v Speaker 17>for villaging Kings fifty years ago. So go out and

1:28:23.080 --> 1:28:28.160
<v Speaker 17>find a sponsor to throw in the pot to make

1:28:28.280 --> 1:28:31.360
<v Speaker 17>the prize money equal here at the US Open. That's

1:28:31.400 --> 1:28:35.240
<v Speaker 17>because of her and Bristol Myers, who added fifty five

1:28:35.280 --> 1:28:38.640
<v Speaker 17>thousand dollars to the women's prize money to make it

1:28:38.680 --> 1:28:41.160
<v Speaker 17>equal to the men. And then they never look back.

1:28:41.240 --> 1:28:43.960
<v Speaker 17>They realized how much of a great thing it was,

1:28:44.920 --> 1:28:47.840
<v Speaker 17>and we were fortunate enough to be able to do

1:28:47.880 --> 1:28:48.679
<v Speaker 17>that going forward.

1:28:48.720 --> 1:28:50.439
<v Speaker 2>What's wild to me is that it's fifty years of

1:28:50.479 --> 1:28:52.479
<v Speaker 2>equal pay here at the US Open. But there are

1:28:52.479 --> 1:28:55.719
<v Speaker 2>so many other sports today where there's not even close

1:28:55.760 --> 1:28:56.320
<v Speaker 2>to parody.

1:28:56.479 --> 1:28:58.639
<v Speaker 17>Oh no, I mean when you look at the women's

1:28:58.680 --> 1:28:59.920
<v Speaker 17>soccer US.

1:29:00.120 --> 1:29:02.839
<v Speaker 2>W women's national team.

1:29:02.640 --> 1:29:07.680
<v Speaker 17>Women's women's national soccer team, it's it's it's crazy that

1:29:07.680 --> 1:29:10.240
<v Speaker 17>that just happened, you know, And they fought for years

1:29:10.280 --> 1:29:13.080
<v Speaker 17>when they were the better team with their better results

1:29:13.360 --> 1:29:17.200
<v Speaker 17>at World Cup, better recomition, right exactly, and now you know,

1:29:17.320 --> 1:29:22.200
<v Speaker 17>now we have a professional women's hockey team. It's we're

1:29:22.280 --> 1:29:26.760
<v Speaker 17>constantly fighting. And you look at the Women's NBA, the

1:29:26.920 --> 1:29:30.519
<v Speaker 17>w n b A not yet do they have parody,

1:29:30.520 --> 1:29:33.760
<v Speaker 17>even though it's a shorter season, but just look at

1:29:34.640 --> 1:29:36.720
<v Speaker 17>when you look at the amenities. They don't even have

1:29:36.760 --> 1:29:40.120
<v Speaker 17>their own private jets yet. It's crazy to travel from

1:29:40.640 --> 1:29:42.360
<v Speaker 17>from game to game.

1:29:43.120 --> 1:29:45.320
<v Speaker 12>And it says something about whether people say, oh, we

1:29:45.360 --> 1:29:47.360
<v Speaker 12>still think you're valuableth No, it says something about your

1:29:47.439 --> 1:29:48.240
<v Speaker 12>value and your worth.

1:29:48.600 --> 1:29:49.840
<v Speaker 2>It says a lot.

1:29:50.040 --> 1:29:51.960
<v Speaker 17>And so we still have a long way to go,

1:29:53.120 --> 1:29:55.880
<v Speaker 17>and it's something that we as professional athletes have been

1:29:55.920 --> 1:29:59.799
<v Speaker 17>fighting for for a very long time, longer than fifty years,

1:30:00.280 --> 1:30:03.000
<v Speaker 17>and hopefully we can get there.

1:30:03.400 --> 1:30:06.920
<v Speaker 2>Hey, Katrina, one thing I wanted to ask you. You

1:30:06.960 --> 1:30:09.960
<v Speaker 2>talked a little bit about earlier about what it took

1:30:10.040 --> 1:30:13.760
<v Speaker 2>to be a professional tennis player all to practice you

1:30:13.800 --> 1:30:16.720
<v Speaker 2>wanted having the desire to keep going. Tennis is a

1:30:16.760 --> 1:30:19.840
<v Speaker 2>sport that drives individuals completely insane. I mean, you watch

1:30:19.840 --> 1:30:22.839
<v Speaker 2>some of these players on the court and they're screaming

1:30:22.840 --> 1:30:24.600
<v Speaker 2>at it, at themselves. And if you were watching with

1:30:24.640 --> 1:30:26.559
<v Speaker 2>some one of those, so was I. If you're walking

1:30:26.560 --> 1:30:27.960
<v Speaker 2>down the street and you were to see this person

1:30:27.960 --> 1:30:29.519
<v Speaker 2>in the context of like the middle of the street,

1:30:29.520 --> 1:30:31.519
<v Speaker 2>you would say that person actually needs help. So you

1:30:31.520 --> 1:30:34.760
<v Speaker 2>see them on a tennis court and it's like totally normalized.

1:30:34.240 --> 1:30:35.599
<v Speaker 5>And you're like, I get that. I get that.

1:30:36.240 --> 1:30:39.919
<v Speaker 2>I'm wondering, though, how you take that after you retire

1:30:40.520 --> 1:30:43.439
<v Speaker 2>and you use that energy in your professional career, Like

1:30:43.520 --> 1:30:46.360
<v Speaker 2>does that keep going, that mental toughness that you built up?

1:30:47.160 --> 1:30:47.599
<v Speaker 2>It does?

1:30:47.640 --> 1:30:52.320
<v Speaker 17>And I think you know we are. We build ourselves

1:30:52.360 --> 1:30:56.080
<v Speaker 17>to be perfectionists in everything that we do, and so

1:30:56.800 --> 1:31:01.400
<v Speaker 17>there is no room for failure quote unquote failure, but

1:31:01.479 --> 1:31:05.599
<v Speaker 17>only for improvement. So whatever we're doing and whatever profession

1:31:05.640 --> 1:31:08.599
<v Speaker 17>that is, we want to be the best. And I

1:31:08.680 --> 1:31:12.160
<v Speaker 17>know for a fact there are people that hire former

1:31:12.600 --> 1:31:19.080
<v Speaker 17>professional tennis players or athletes because they understand winning. They

1:31:19.120 --> 1:31:23.200
<v Speaker 17>know that they want to win, but they understand what

1:31:23.280 --> 1:31:26.439
<v Speaker 17>losing feels like. So they want to hire them because

1:31:26.439 --> 1:31:28.080
<v Speaker 17>they know that they're going to give it their all

1:31:28.160 --> 1:31:30.840
<v Speaker 17>because they don't like the feeling of losing. So they

1:31:30.880 --> 1:31:33.040
<v Speaker 17>know that they're going to make sure that they're successful.

1:31:33.479 --> 1:31:36.880
<v Speaker 17>And so I think that is those our qualities and

1:31:36.920 --> 1:31:40.040
<v Speaker 17>the life skills that we have that make us great

1:31:40.080 --> 1:31:44.040
<v Speaker 17>in business, no matter what the business is, and you

1:31:44.160 --> 1:31:46.400
<v Speaker 17>learn how to work as a team. Even though tennis

1:31:46.439 --> 1:31:48.920
<v Speaker 17>is an individual sport, I still have a team. I

1:31:48.920 --> 1:31:50.680
<v Speaker 17>got to work with my coach, I gotta work with

1:31:50.680 --> 1:31:52.800
<v Speaker 17>my physio, I got to work with whomever it is.

1:31:52.800 --> 1:31:54.920
<v Speaker 17>I got to work with whoever my practice partner is

1:31:54.960 --> 1:31:56.840
<v Speaker 17>on the other side of the net to make sure

1:31:56.880 --> 1:31:59.360
<v Speaker 17>that our drills are going properly right.

1:31:59.600 --> 1:32:00.519
<v Speaker 2>So, yeah, that's an.

1:32:00.400 --> 1:32:03.439
<v Speaker 17>Individual sport when you're out there competing, but when you're training,

1:32:03.920 --> 1:32:07.679
<v Speaker 17>it is teamwork. And so when you go into business,

1:32:07.840 --> 1:32:11.000
<v Speaker 17>into the professional world outside of sport, or it could

1:32:11.040 --> 1:32:13.840
<v Speaker 17>be business in sport, it's still working with a team

1:32:13.920 --> 1:32:17.200
<v Speaker 17>and you're still driven to do and prepare. It's all

1:32:17.240 --> 1:32:20.080
<v Speaker 17>about preparation. So for me to be the best on

1:32:20.120 --> 1:32:23.320
<v Speaker 17>the court for my match, how well did I prepare?

1:32:23.800 --> 1:32:27.519
<v Speaker 17>For me to do a presentation for you know, some

1:32:28.400 --> 1:32:31.639
<v Speaker 17>some job or to get some deal, how well did

1:32:31.640 --> 1:32:35.400
<v Speaker 17>I prepare? And I think that's what people are hiring

1:32:36.200 --> 1:32:39.639
<v Speaker 17>or looking for in the qualities of individuals.

1:32:39.320 --> 1:32:43.360
<v Speaker 12>You only have about thirty seconds left here, any predictions here?

1:32:43.479 --> 1:32:44.320
<v Speaker 5>Yeah, an American.

1:32:44.640 --> 1:32:46.559
<v Speaker 2>Let's go on the men's and women's side.

1:32:46.640 --> 1:32:47.640
<v Speaker 17>Let's go American.

1:32:47.920 --> 1:32:50.639
<v Speaker 2>All right, go you think so, let's go. So we're

1:32:50.640 --> 1:32:52.120
<v Speaker 2>back to we are back to the nineties.

1:32:52.320 --> 1:32:53.360
<v Speaker 5>There we go, There we go.

1:32:55.520 --> 1:32:58.040
<v Speaker 2>Do you still play? I do very little, but I

1:32:58.040 --> 1:32:59.320
<v Speaker 2>do double singles.

1:32:59.800 --> 1:33:00.360
<v Speaker 5>I just hit.

1:33:00.439 --> 1:33:03.280
<v Speaker 17>I all compete, just well, I compete on the golf course.

1:33:03.479 --> 1:33:04.120
<v Speaker 12>Oh that's right.

1:33:04.240 --> 1:33:06.760
<v Speaker 2>Oh are you screaming yourself on the golf course?

1:33:06.760 --> 1:33:07.160
<v Speaker 5>Absolutely?

1:33:07.320 --> 1:33:08.479
<v Speaker 2>Okay, good, That's what I'd like to hear.

1:33:08.720 --> 1:33:10.000
<v Speaker 12>You know what we really want to notice? Do you

1:33:10.080 --> 1:33:15.400
<v Speaker 12>throw clubs? But you're definitely hit though here. Thank you

1:33:15.439 --> 1:33:18.200
<v Speaker 12>so much, awesod likely to everything. Thank you, Katrina Adams,

1:33:18.240 --> 1:33:21.200
<v Speaker 12>former president, chairman, CEO of the US Tennis Association, former

1:33:21.240 --> 1:33:24.240
<v Speaker 12>pro so much more so inspiring and so much fun.

1:33:25.080 --> 1:33:25.840
<v Speaker 12>Thank you so much.

1:33:26.280 --> 1:33:29.840
<v Speaker 1>You're listening to the Bloomberg Business Week podcast. Catch us

1:33:29.880 --> 1:33:33.240
<v Speaker 1>live weekday afternoons from three to six Eastern Listen on

1:33:33.280 --> 1:33:36.120
<v Speaker 1>Bloomberg dot com, the iHeartRadio app, and the.

1:33:36.080 --> 1:33:40.120
<v Speaker 14>Bloomberg Business App, or watch us live on YouTube.

1:33:41.120 --> 1:33:43.000
<v Speaker 12>Let's get to the guy who's behind it, the man

1:33:43.080 --> 1:33:45.040
<v Speaker 12>behind it all is Chris Studley. He's senior director of

1:33:45.040 --> 1:33:48.439
<v Speaker 12>Event Services at the ust A. Welcome. Nice to have

1:33:48.479 --> 1:33:49.080
<v Speaker 12>you here again.

1:33:49.280 --> 1:33:50.040
<v Speaker 5>Thank you for having me.

1:33:50.120 --> 1:33:51.400
<v Speaker 12>Is it again we told you last year?

1:33:51.439 --> 1:33:51.760
<v Speaker 4>Did we?

1:33:51.960 --> 1:33:56.120
<v Speaker 2>I think briefly, Okay, briefly one year, one year. We've

1:33:56.160 --> 1:33:56.639
<v Speaker 2>had you before.

1:33:56.720 --> 1:33:57.960
<v Speaker 12>I was just gonna say so, I know we always

1:33:57.960 --> 1:33:59.840
<v Speaker 12>talk about food because it's such a big part of it.

1:34:00.680 --> 1:34:01.000
<v Speaker 2>Chris.

1:34:01.040 --> 1:34:03.000
<v Speaker 12>First of all, I can't believe you didn't bring us

1:34:03.000 --> 1:34:03.439
<v Speaker 12>any food.

1:34:04.320 --> 1:34:06.400
<v Speaker 5>I'm sorry about that. I'll grab it after the segment.

1:34:06.439 --> 1:34:08.439
<v Speaker 12>No, no, no, I'm just kidding. But like, talk to us

1:34:08.439 --> 1:34:10.880
<v Speaker 12>about what goes into it, because you do, Tim is right,

1:34:10.920 --> 1:34:12.519
<v Speaker 12>as you walk around, that is such a big part

1:34:12.520 --> 1:34:14.840
<v Speaker 12>of the experience. I've eaten here, Tim is eating here.

1:34:15.600 --> 1:34:18.200
<v Speaker 12>Tell us about how you think about it as what

1:34:18.280 --> 1:34:20.000
<v Speaker 12>you want to offer up to the people who come.

1:34:20.080 --> 1:34:21.960
<v Speaker 10>Well, I can tell you, first of all, I look

1:34:21.960 --> 1:34:24.160
<v Speaker 10>at this tournament as a food and wine festival. And

1:34:24.200 --> 1:34:26.720
<v Speaker 10>by the way, there's tennis. So much to what you

1:34:26.720 --> 1:34:29.240
<v Speaker 10>were describing before. People are walking around eating and drinking.

1:34:29.360 --> 1:34:31.400
<v Speaker 10>And what we want to bring in the names you

1:34:31.439 --> 1:34:34.879
<v Speaker 10>mentioned is the best quality that there is in sports.

1:34:34.880 --> 1:34:36.360
<v Speaker 10>We don't want you to come to a sporting event

1:34:36.360 --> 1:34:38.080
<v Speaker 10>and say, oh I have to eat. We want you

1:34:38.160 --> 1:34:40.080
<v Speaker 10>to come here and say what a great meal you

1:34:40.200 --> 1:34:42.639
<v Speaker 10>had and I got to watch the tennis. So from

1:34:42.640 --> 1:34:45.639
<v Speaker 10>our offerings that you described to our champion steakhouse run

1:34:45.680 --> 1:34:49.320
<v Speaker 10>by Benjamin's right from Manhattan to Aces bringing the best chefs.

1:34:50.320 --> 1:34:54.120
<v Speaker 10>We partnered with Tatiana chef Kwame and Aces to do

1:34:54.160 --> 1:34:55.280
<v Speaker 10>some special dishes for us.

1:34:55.320 --> 1:34:57.559
<v Speaker 5>So, I mean it's really about the food to me

1:34:58.040 --> 1:34:58.439
<v Speaker 5>for sure.

1:34:58.479 --> 1:35:00.320
<v Speaker 2>How do you make sure that the quality is what

1:35:00.400 --> 1:35:03.559
<v Speaker 2>you get in you know, the year round establishment.

1:35:03.720 --> 1:35:06.840
<v Speaker 5>So great question. We meet with these chefs throughout the year.

1:35:06.840 --> 1:35:08.760
<v Speaker 10>I can tell you right now we've been talking to

1:35:08.760 --> 1:35:11.360
<v Speaker 10>people even during this tournament saying I want in next year.

1:35:11.920 --> 1:35:13.519
<v Speaker 10>I'm not going to give you any names today, but

1:35:14.080 --> 1:35:16.200
<v Speaker 10>we will evaluate each and every one. We look at

1:35:16.200 --> 1:35:19.120
<v Speaker 10>what sells, what do our fans want, what's the quality.

1:35:19.320 --> 1:35:21.400
<v Speaker 10>We'll meet with these chefs throughout the year. I can

1:35:21.439 --> 1:35:23.120
<v Speaker 10>tell you you know a number of chefs that we

1:35:23.120 --> 1:35:26.639
<v Speaker 10>brought in, from James Kennet, Crown Shy to Melboy's of Harlem.

1:35:26.680 --> 1:35:27.840
<v Speaker 5>We've been there in the off season.

1:35:27.920 --> 1:35:30.640
<v Speaker 10>We sit with them, we talk to them, and you know,

1:35:30.800 --> 1:35:32.880
<v Speaker 10>to some the menus might not lend themselves to a

1:35:32.920 --> 1:35:35.280
<v Speaker 10>concession stand necessarily, but we'll work with the team to

1:35:35.320 --> 1:35:37.360
<v Speaker 10>bring that item into that environment for our fan.

1:35:37.680 --> 1:35:39.640
<v Speaker 12>How important is it from year to year, Chris, in

1:35:39.720 --> 1:35:42.760
<v Speaker 12>terms of some consistency so that people come back and

1:35:42.760 --> 1:35:43.920
<v Speaker 12>they're like, I know this is going to be here,

1:35:43.920 --> 1:35:44.960
<v Speaker 12>and then also bring in some.

1:35:44.960 --> 1:35:47.720
<v Speaker 10>New It's very important, right. Our fans always want to

1:35:47.720 --> 1:35:50.080
<v Speaker 10>see us innovate. It's the name of the game and

1:35:50.120 --> 1:35:52.960
<v Speaker 10>food especially Obviously, trends change over years and we want

1:35:52.960 --> 1:35:53.599
<v Speaker 10>to be right there.

1:35:54.120 --> 1:35:55.519
<v Speaker 5>But you need to have the staples right.

1:35:55.760 --> 1:35:58.040
<v Speaker 10>Everybody talks about our lobster role as being one of

1:35:58.080 --> 1:36:00.200
<v Speaker 10>the one of the iconic foods of the USO and

1:36:00.560 --> 1:36:01.559
<v Speaker 10>it's also our hamburger.

1:36:01.560 --> 1:36:02.080
<v Speaker 5>Believe it or not.

1:36:02.080 --> 1:36:03.720
<v Speaker 10>They're all Patla free to even though his name might

1:36:03.720 --> 1:36:05.479
<v Speaker 10>not be on that stand. It's all Paler free to

1:36:05.479 --> 1:36:08.240
<v Speaker 10>meet Pat stand over here too. The stak sandwich has

1:36:08.240 --> 1:36:11.640
<v Speaker 10>almost become just as famous as the lobster. Also, you know,

1:36:11.680 --> 1:36:13.639
<v Speaker 10>we try to find what our fans love and really

1:36:13.640 --> 1:36:14.880
<v Speaker 10>gravitate towards and work with it.

1:36:15.280 --> 1:36:15.960
<v Speaker 2>We talked a little bit.

1:36:16.000 --> 1:36:18.080
<v Speaker 12>Go ahead, girl, I'm gonna just what about price point, Like,

1:36:18.120 --> 1:36:20.000
<v Speaker 12>how do you think about that as part of the experience.

1:36:20.040 --> 1:36:22.559
<v Speaker 5>Absolutely. You know, listen, we're in New York City.

1:36:23.120 --> 1:36:25.800
<v Speaker 10>Obviously we're a temporary event, but we were very price

1:36:25.840 --> 1:36:28.559
<v Speaker 10>sensitive in a regard. You know, we would put ourselves

1:36:28.600 --> 1:36:30.599
<v Speaker 10>up against any other New York City venue and say

1:36:30.680 --> 1:36:33.439
<v Speaker 10>that we are probably not the most expensive. We may

1:36:33.439 --> 1:36:35.360
<v Speaker 10>not be the least expensive, but we're right in that

1:36:35.600 --> 1:36:37.320
<v Speaker 10>in that sweet spot because we want to have value

1:36:37.320 --> 1:36:39.759
<v Speaker 10>for our fans. I would tell you that our quality

1:36:39.800 --> 1:36:43.559
<v Speaker 10>though surpasses our peers here. So we know that the

1:36:43.600 --> 1:36:46.120
<v Speaker 10>prices sometimes can be healthy, but we know that we're

1:36:46.160 --> 1:36:47.880
<v Speaker 10>giving you the best quality you can possibly have at

1:36:47.920 --> 1:36:48.559
<v Speaker 10>a sporting event.

1:36:48.760 --> 1:36:51.479
<v Speaker 2>So are you seeing what's the typical markup from an

1:36:51.560 --> 1:36:55.000
<v Speaker 2>established restaurant that you'd experienced in Manhattan and the same

1:36:55.040 --> 1:36:55.920
<v Speaker 2>dish that you'd get here.

1:36:56.840 --> 1:36:57.599
<v Speaker 12>Is there a mark up?

1:36:57.800 --> 1:36:58.439
<v Speaker 5>It's not.

1:36:58.760 --> 1:37:01.519
<v Speaker 10>There's no direct correlation in that regard. You know, a

1:37:01.520 --> 1:37:03.160
<v Speaker 10>concession stand, you're not going to really be able to

1:37:03.160 --> 1:37:05.720
<v Speaker 10>compare directly to the items. I can tell you in

1:37:05.720 --> 1:37:08.080
<v Speaker 10>some of our restaurants there's a slight markup just for

1:37:08.600 --> 1:37:10.720
<v Speaker 10>you know, bringing the team out here and operating, but

1:37:10.960 --> 1:37:12.240
<v Speaker 10>there's no set percentage.

1:37:12.280 --> 1:37:14.920
<v Speaker 12>Say hey, one thing you had brought up. We were

1:37:14.920 --> 1:37:16.559
<v Speaker 12>thinking on this job's day, right.

1:37:16.640 --> 1:37:19.760
<v Speaker 2>Yeah, I mean it's pretty incredible. Hospitality one of the

1:37:19.800 --> 1:37:22.320
<v Speaker 2>continued bright spots when it comes to the US labor market,

1:37:22.360 --> 1:37:26.000
<v Speaker 2>and the biggest gains in August were in healthcare hospitality

1:37:26.040 --> 1:37:29.960
<v Speaker 2>as well leasion hospitality. How is it getting employees right now?

1:37:30.360 --> 1:37:32.680
<v Speaker 10>You know, our team did a fantastic job. I mean

1:37:32.720 --> 1:37:34.920
<v Speaker 10>I oversee our front of house services as well, and

1:37:34.960 --> 1:37:37.240
<v Speaker 10>this was probably the earliest we were ever fully committed

1:37:37.240 --> 1:37:39.400
<v Speaker 10>for all of our seasonal staff that we bring in,

1:37:39.920 --> 1:37:42.519
<v Speaker 10>which is it's wild to think about with the lowest

1:37:42.560 --> 1:37:45.720
<v Speaker 10>unemployment rate, right, but people want to come work here.

1:37:45.720 --> 1:37:48.160
<v Speaker 10>We have people that take vacation to come work here.

1:37:48.880 --> 1:37:51.320
<v Speaker 10>You know, you could be a server in a restaurant

1:37:51.360 --> 1:37:53.519
<v Speaker 10>and you're saying to your New York City restaurant, hey,

1:37:53.560 --> 1:37:54.840
<v Speaker 10>I want to go out to the open work there.

1:37:54.920 --> 1:37:57.960
<v Speaker 2>Do people who work for one establishment get paid the

1:37:57.960 --> 1:38:01.280
<v Speaker 2>same hourly wage that work for an their establishment.

1:38:01.200 --> 1:38:01.800
<v Speaker 5>Most of the time.

1:38:01.840 --> 1:38:03.800
<v Speaker 10>I mean, there is some different levels depending on how

1:38:03.800 --> 1:38:06.320
<v Speaker 10>many years you've been here, who you're with, what restaurant

1:38:06.360 --> 1:38:08.960
<v Speaker 10>in particular, but you know it varies. You interview for

1:38:08.960 --> 1:38:11.200
<v Speaker 10>the position just like you would at a restaurant in

1:38:11.439 --> 1:38:12.080
<v Speaker 10>New York City.

1:38:13.000 --> 1:38:16.000
<v Speaker 12>How difficult is it to settle this up? I love

1:38:16.080 --> 1:38:19.760
<v Speaker 12>logistics because we come here and it just looks like

1:38:19.840 --> 1:38:23.040
<v Speaker 12>it's been here forever and we know it goes away.

1:38:23.120 --> 1:38:24.880
<v Speaker 5>I love getting asked those questions.

1:38:24.960 --> 1:38:28.960
<v Speaker 10>I'd say the truth, the logistics behind it is mind blowing, to.

1:38:28.880 --> 1:38:31.240
<v Speaker 5>Say the least. How early do you start the day

1:38:31.240 --> 1:38:34.040
<v Speaker 5>after it ends? I mean we're here figuring it.

1:38:34.000 --> 1:38:37.320
<v Speaker 12>Out, okay with that part, but building this and building

1:38:37.320 --> 1:38:40.479
<v Speaker 12>everything that's in your world to make this happen. When

1:38:40.520 --> 1:38:41.200
<v Speaker 12>does that start?

1:38:42.080 --> 1:38:45.000
<v Speaker 10>The planning goes into place right away. The build up

1:38:45.040 --> 1:38:46.960
<v Speaker 10>I mean by the springtime, you'll see a lot of

1:38:47.000 --> 1:38:50.439
<v Speaker 10>movement here and things getting physically set up, aside from

1:38:50.439 --> 1:38:53.160
<v Speaker 10>any new buildings we're going to build right you know.

1:38:53.200 --> 1:38:55.439
<v Speaker 10>Obviously we went under this massive renovation that was all

1:38:55.520 --> 1:38:57.400
<v Speaker 10>year for a number of years, and we stopped for

1:38:57.439 --> 1:38:59.400
<v Speaker 10>the open and we went back into it. But in

1:38:59.479 --> 1:39:02.599
<v Speaker 10>terms of the general repeat business that we're doing, we'll

1:39:02.600 --> 1:39:03.439
<v Speaker 10>start in the spring.

1:39:04.560 --> 1:39:06.920
<v Speaker 2>We're speaking right now with Chris Studley. He's senior director

1:39:07.160 --> 1:39:09.680
<v Speaker 2>of Events Services here at the USTA. We're live at

1:39:09.720 --> 1:39:11.439
<v Speaker 2>the twenty twenty three US open.

1:39:11.640 --> 1:39:14.000
<v Speaker 12>But on that in terms of the food part of it,

1:39:14.080 --> 1:39:16.800
<v Speaker 12>like what's involved logistically with building that out.

1:39:17.640 --> 1:39:20.880
<v Speaker 10>So we'll have trucks showing up in early August. You know,

1:39:21.080 --> 1:39:23.519
<v Speaker 10>with the volume of food and beverage we do here,

1:39:23.680 --> 1:39:25.439
<v Speaker 10>we have trucks coming in every single day. But we'll

1:39:25.439 --> 1:39:28.880
<v Speaker 10>build out a temporary warehouse facility essentially to house everything.

1:39:28.960 --> 1:39:31.559
<v Speaker 10>I mean, you mentioned some of our drinks, the Honeyduce

1:39:31.880 --> 1:39:32.519
<v Speaker 10>we sold for.

1:39:32.560 --> 1:39:35.000
<v Speaker 12>The Honey Duce cup at home, Well, we had a

1:39:35.040 --> 1:39:35.240
<v Speaker 12>lot of.

1:39:35.240 --> 1:39:37.120
<v Speaker 2>People walking around like seven Honey Duce cups.

1:39:37.120 --> 1:39:40.200
<v Speaker 10>Okay, So to think about the logistics behind that, four

1:39:40.320 --> 1:39:42.599
<v Speaker 10>hundred thousand cups are sitting behind the scenes right now.

1:39:42.920 --> 1:39:45.479
<v Speaker 10>You know, they're ready to go, and the team's moving

1:39:45.479 --> 1:39:47.760
<v Speaker 10>them about getting them all over the site. So, I mean,

1:39:47.800 --> 1:39:49.679
<v Speaker 10>the logistics behind it is massive.

1:39:49.720 --> 1:39:51.400
<v Speaker 2>So, speaking of the Honey Duce, one of the reasons

1:39:51.439 --> 1:39:53.599
<v Speaker 2>I asked about labor was because as I was leaving

1:39:53.680 --> 1:39:57.400
<v Speaker 2>yesterday after doing our broadcast, the lines for some of

1:39:57.439 --> 1:40:00.799
<v Speaker 2>these concession stands we're so low, Chris, and I couldn't

1:40:00.800 --> 1:40:03.200
<v Speaker 2>help think to myself, there must be people who see

1:40:03.200 --> 1:40:04.960
<v Speaker 2>these lines and say to themselves, I don't want to

1:40:04.960 --> 1:40:07.240
<v Speaker 2>wait in this line and you know, therefore the USTA

1:40:07.360 --> 1:40:09.080
<v Speaker 2>is not going to get my twenty two dollars for

1:40:09.640 --> 1:40:12.759
<v Speaker 2>the honeyduce. How do you control for lines here?

1:40:12.960 --> 1:40:14.800
<v Speaker 10>It's a great question, and I'm glad you mentioned the

1:40:14.800 --> 1:40:18.479
<v Speaker 10>honey Duce on that one. So innovation, right, So this

1:40:18.600 --> 1:40:20.479
<v Speaker 10>is the first year we're actually able to batch some

1:40:20.520 --> 1:40:21.720
<v Speaker 10>of the Honeyduce.

1:40:21.280 --> 1:40:22.280
<v Speaker 5>To try to speed those up.

1:40:22.560 --> 1:40:24.439
<v Speaker 10>We rolled it out in somewhat of a pilot program

1:40:24.439 --> 1:40:26.680
<v Speaker 10>this year at ten different locations around the site, and

1:40:26.720 --> 1:40:29.840
<v Speaker 10>we're seeing that we're able to increase service. So our

1:40:29.840 --> 1:40:32.720
<v Speaker 10>goal here is let's roll it out all over next year.

1:40:32.760 --> 1:40:35.240
<v Speaker 10>What does that mean that so we are able to

1:40:35.280 --> 1:40:39.240
<v Speaker 10>prepare part of the drink in a ready to mix container,

1:40:39.280 --> 1:40:42.240
<v Speaker 10>and we can control the quality most importantly. You know,

1:40:42.280 --> 1:40:43.360
<v Speaker 10>if you go to a bar and you get a

1:40:43.439 --> 1:40:45.240
<v Speaker 10>drink made and you may not like that one. Here,

1:40:45.320 --> 1:40:47.960
<v Speaker 10>we can actually do the quality testing behind the scenes,

1:40:48.360 --> 1:40:51.080
<v Speaker 10>know the exact precise measurements, and then also deliver to

1:40:51.080 --> 1:40:53.560
<v Speaker 10>you faster. So innovation is key and we're going to

1:40:53.600 --> 1:40:54.679
<v Speaker 10>speed those lines up for sure.

1:40:54.720 --> 1:40:57.439
<v Speaker 2>But so that's the question. Is it then forgive the

1:40:57.520 --> 1:41:00.160
<v Speaker 2>terminology here, but is it a failure to you you

1:41:00.160 --> 1:41:02.000
<v Speaker 2>walk around and see huge lines and people waiting.

1:41:02.120 --> 1:41:03.679
<v Speaker 5>It's disappointing for sure.

1:41:03.840 --> 1:41:05.519
<v Speaker 10>I mean, we want to be able to service every

1:41:05.560 --> 1:41:08.040
<v Speaker 10>customer as quickly as possible, but we also want to

1:41:08.040 --> 1:41:11.160
<v Speaker 10>deliver that excellent experience. So it's a fine balance for

1:41:11.280 --> 1:41:13.080
<v Speaker 10>you know, for sure. But we're trying to make sure

1:41:13.120 --> 1:41:13.880
<v Speaker 10>that we innovate.

1:41:13.640 --> 1:41:15.280
<v Speaker 2>As much as this are. There areas are down here

1:41:15.320 --> 1:41:17.200
<v Speaker 2>where you walk around this year and you say, okay,

1:41:17.200 --> 1:41:19.759
<v Speaker 2>well we could do another of this type of concession

1:41:19.840 --> 1:41:21.800
<v Speaker 2>right here and ease the demand a little bit.

1:41:22.200 --> 1:41:24.360
<v Speaker 10>Yeah, I mean, and you know, it's surprising because each year,

1:41:24.400 --> 1:41:26.240
<v Speaker 10>I mean, we know there's some things that never fade. Right,

1:41:26.240 --> 1:41:28.400
<v Speaker 10>The honey Juice is not fading. It is the most popular,

1:41:28.439 --> 1:41:31.640
<v Speaker 10>is it, really? It is by far. But you know,

1:41:31.800 --> 1:41:33.120
<v Speaker 10>sometimes they're surprising.

1:41:32.960 --> 1:41:36.479
<v Speaker 12>That's honey juice lovers. No, it's actually a matt sorry

1:41:36.520 --> 1:41:36.920
<v Speaker 12>for sure.

1:41:37.040 --> 1:41:37.559
<v Speaker 5>For sure.

1:41:37.960 --> 1:41:40.120
<v Speaker 10>Yeah, No, it's it's always interesting to see what's going

1:41:40.160 --> 1:41:41.080
<v Speaker 10>to be the top seller.

1:41:40.880 --> 1:41:41.280
<v Speaker 5>Of the year.

1:41:42.400 --> 1:41:43.960
<v Speaker 12>Are you adding more drinks that are.

1:41:43.960 --> 1:41:46.120
<v Speaker 10>Like, well, we have this year. We have the Aperol

1:41:46.160 --> 1:41:49.400
<v Speaker 10>Sprits as well. Right, and Dobell has joined us with

1:41:49.439 --> 1:41:52.479
<v Speaker 10>their Ace Piloma cocktail and they're both delicious. I encourage

1:41:52.520 --> 1:41:53.519
<v Speaker 10>you to try them before you leave.

1:41:53.920 --> 1:41:58.040
<v Speaker 12>What's interesting, too, is are there workers that you needed

1:41:58.040 --> 1:41:59.559
<v Speaker 12>that you couldn't hire or you said you could get

1:41:59.560 --> 1:42:00.320
<v Speaker 12>everybody wanted.

1:42:00.560 --> 1:42:02.640
<v Speaker 10>I think we're pretty well staffed. I would say that

1:42:02.680 --> 1:42:05.000
<v Speaker 10>we're really well staffed. And you know, we benefit from

1:42:05.000 --> 1:42:07.080
<v Speaker 10>the folks that come back every year and they help

1:42:07.160 --> 1:42:08.840
<v Speaker 10>us really make the operation home.

1:42:09.080 --> 1:42:11.000
<v Speaker 2>Here, Carol, I got a number for you. What one

1:42:11.040 --> 1:42:14.960
<v Speaker 2>point two million? Okay, that's one point two million mellon

1:42:15.000 --> 1:42:17.480
<v Speaker 2>balls that the USTAS.

1:42:17.520 --> 1:42:18.360
<v Speaker 5>I get a number for you.

1:42:18.800 --> 1:42:22.920
<v Speaker 2>What ninety pounds of beef? Did you have a Hamberger today?

1:42:23.000 --> 1:42:25.720
<v Speaker 12>I did have a Hamberg surprise.

1:42:26.240 --> 1:42:27.200
<v Speaker 5>And I ain't done yet.

1:42:27.600 --> 1:42:29.759
<v Speaker 12>We're going to come back with Chris Dudley, Senior Director

1:42:29.800 --> 1:42:32.080
<v Speaker 12>of Event Services at USDA. He's got a big job here,

1:42:32.080 --> 1:42:34.320
<v Speaker 12>he's getting it done. And we're still here with Chris Dudley,

1:42:34.520 --> 1:42:38.360
<v Speaker 12>Senior director of Event Services at USTA. And I know

1:42:38.439 --> 1:42:40.680
<v Speaker 12>the answer because we were talking about it before we

1:42:40.880 --> 1:42:43.559
<v Speaker 12>got going again. But supply chains were you know, you

1:42:43.600 --> 1:42:45.960
<v Speaker 12>go back a few years coming off the pandemic nightmare.

1:42:46.600 --> 1:42:49.920
<v Speaker 12>Are you getting everything you want and at decent costs?

1:42:50.200 --> 1:42:52.720
<v Speaker 2>Or you've got enough lobster, would I think so?

1:42:52.920 --> 1:42:54.639
<v Speaker 5>Okay, I think so. I think we're in good shape

1:42:54.640 --> 1:42:57.360
<v Speaker 5>this year. Vodka. No, Fortunately, it's one of those things.

1:42:58.320 --> 1:43:00.800
<v Speaker 5>Let's get to the priority. For sure. Fortunately, it's one

1:43:00.840 --> 1:43:02.320
<v Speaker 5>of those things that's kind of been in the past

1:43:02.320 --> 1:43:02.559
<v Speaker 5>for us.

1:43:02.640 --> 1:43:05.400
<v Speaker 12>Now thankfully not an issue, but it wasn't issue.

1:43:05.439 --> 1:43:07.559
<v Speaker 5>It was an issue a while back. Yeah, for sure.

1:43:07.600 --> 1:43:09.400
<v Speaker 10>I mean I think everybody fought through the same thing,

1:43:09.479 --> 1:43:11.280
<v Speaker 10>and I think we're on the other side of the

1:43:11.280 --> 1:43:13.559
<v Speaker 10>supply chain in terms of our business right now.

1:43:13.840 --> 1:43:16.840
<v Speaker 2>What were the challenges this year? If it wasn't employees,

1:43:16.960 --> 1:43:19.280
<v Speaker 2>if it wasn't supply chains, what's the what's the big

1:43:19.360 --> 1:43:20.080
<v Speaker 2>challenge this year?

1:43:21.040 --> 1:43:23.000
<v Speaker 5>Weather? Who can control the weather?

1:43:23.040 --> 1:43:26.599
<v Speaker 2>But look at us, I know kind of day right here,

1:43:26.640 --> 1:43:27.240
<v Speaker 2>it's amazing.

1:43:27.360 --> 1:43:29.000
<v Speaker 5>That's the biggest concern we have right now. I think

1:43:29.000 --> 1:43:29.639
<v Speaker 5>we're doing okay.

1:43:29.760 --> 1:43:32.240
<v Speaker 12>I do wonder though, you said while we were off air,

1:43:32.400 --> 1:43:34.920
<v Speaker 12>you know, I'm here before everybody else and I leave

1:43:34.960 --> 1:43:37.640
<v Speaker 12>after everybody. I mean, what's what are the calls that

1:43:37.720 --> 1:43:41.080
<v Speaker 12>you get? Is it that way? You know, electricity isn't

1:43:41.120 --> 1:43:44.559
<v Speaker 12>working or we ran out of burger or something. What

1:43:44.720 --> 1:43:46.320
<v Speaker 12>is it? What's the stress points for you?

1:43:46.360 --> 1:43:49.120
<v Speaker 10>Doing this, you know, to your point earlier lines and things.

1:43:49.160 --> 1:43:50.200
<v Speaker 10>You know, you want to make sure everybody has a

1:43:50.240 --> 1:43:52.120
<v Speaker 10>good experience. So we're trying to send people out. Like

1:43:52.200 --> 1:43:54.200
<v Speaker 10>during the typical day, I might hear that we might

1:43:54.240 --> 1:43:55.760
<v Speaker 10>have an issue with a line over here, a line

1:43:55.800 --> 1:43:59.360
<v Speaker 10>over there in terms of food. If one of those

1:43:59.400 --> 1:44:01.400
<v Speaker 10>facilities isues pops up. We have a great team here.

1:44:01.439 --> 1:44:01.800
<v Speaker 5>One of my.

1:44:01.760 --> 1:44:04.480
<v Speaker 10>Counterparts on the back house side helps me out tremendously.

1:44:05.040 --> 1:44:06.800
<v Speaker 10>Give a quick call and we get everything right back on.

1:44:06.920 --> 1:44:08.559
<v Speaker 10>So those are the little pain point.

1:44:08.640 --> 1:44:10.439
<v Speaker 2>How do you how do you alleviate a line?

1:44:11.320 --> 1:44:13.360
<v Speaker 10>Well, you can send more people over to help out, right,

1:44:13.400 --> 1:44:15.040
<v Speaker 10>I mean if you get a honeydusee line, you try

1:44:15.040 --> 1:44:16.639
<v Speaker 10>to get a couple more bartenders over there too.

1:44:16.880 --> 1:44:19.000
<v Speaker 5>Yeah. Yeah, I mean we've done everything we can.

1:44:19.080 --> 1:44:21.960
<v Speaker 10>I mean, pos is always one thing that we look at,

1:44:22.000 --> 1:44:24.320
<v Speaker 10>and we've upgraded our systems over the years to try

1:44:24.360 --> 1:44:25.400
<v Speaker 10>to process those transactions.

1:44:25.439 --> 1:44:27.479
<v Speaker 2>We met some folks from American Express earlier today. If

1:44:27.479 --> 1:44:29.400
<v Speaker 2>you want to talk to them, they know a thing

1:44:29.479 --> 1:44:30.599
<v Speaker 2>or two about our processing.

1:44:30.840 --> 1:44:33.040
<v Speaker 5>They're fantastic action. They are a good partner.

1:44:33.240 --> 1:44:35.160
<v Speaker 12>Well, I think about like a Disney right, you have

1:44:35.240 --> 1:44:38.080
<v Speaker 12>apps and you can like kind of guide people. Do

1:44:38.160 --> 1:44:40.120
<v Speaker 12>you think about that the role of technology is it's

1:44:40.160 --> 1:44:41.960
<v Speaker 12>a big thing here. Do you say, listen, I know

1:44:42.000 --> 1:44:42.760
<v Speaker 12>there's lines here, but.

1:44:42.920 --> 1:44:44.960
<v Speaker 10>You know what, so I have a great point on that.

1:44:45.040 --> 1:44:48.400
<v Speaker 10>I mean, we tried out mobile ordering. We did it

1:44:48.439 --> 1:44:50.840
<v Speaker 10>so that you could order anything from the food village

1:44:50.840 --> 1:44:52.439
<v Speaker 10>and then you could grab it and go to your table.

1:44:53.280 --> 1:44:54.960
<v Speaker 10>And what happened was our customers said.

1:44:54.800 --> 1:44:57.280
<v Speaker 5>We don't really want to do that seriously, And I'll

1:44:57.280 --> 1:44:57.720
<v Speaker 5>tell you why.

1:44:57.720 --> 1:44:59.960
<v Speaker 10>I mean, you know, when you come here, because you're

1:45:00.040 --> 1:45:01.800
<v Speaker 10>coming here once a year, you want to walk around

1:45:01.840 --> 1:45:03.760
<v Speaker 10>and check out everything. To your point, we were talking

1:45:03.760 --> 1:45:05.760
<v Speaker 10>about what's new. They want to see what's new. They

1:45:05.760 --> 1:45:07.120
<v Speaker 10>want to go look at that menu. They want to

1:45:07.120 --> 1:45:08.960
<v Speaker 10>pick what item they want. They don't really want to

1:45:08.960 --> 1:45:10.519
<v Speaker 10>do it on a small phone screen. They want to

1:45:10.520 --> 1:45:12.080
<v Speaker 10>see the kitchen. They want to know what's going on.

1:45:12.160 --> 1:45:15.879
<v Speaker 2>So, okay, one point two million mellon balls are are created.

1:45:16.520 --> 1:45:20.360
<v Speaker 2>Are bald from melon's. I think that's the proper terminology

1:45:20.400 --> 1:45:22.519
<v Speaker 2>here for sure. Each year, I guess. So I'm going

1:45:22.600 --> 1:45:25.000
<v Speaker 2>to go ahead and say that it's Friday afternoon. I'm

1:45:25.000 --> 1:45:26.639
<v Speaker 2>not making stuff up. I think that's how it goes

1:45:26.920 --> 1:45:29.160
<v Speaker 2>a little bit. We talked to the folks at Chipole

1:45:29.200 --> 1:45:33.200
<v Speaker 2>about quarterly and they've started to invest in technology that

1:45:33.280 --> 1:45:37.439
<v Speaker 2>automates guacamole making so they can free up employees who

1:45:37.800 --> 1:45:40.920
<v Speaker 2>spend time doing that laborious task of actually cutting up

1:45:40.920 --> 1:45:44.720
<v Speaker 2>avocados and getting the guak out. Can you do that

1:45:44.760 --> 1:45:46.880
<v Speaker 2>with with mes mellon ball?

1:45:47.240 --> 1:45:50.639
<v Speaker 10>We actually get them pre bald. Okay, well we bring

1:45:50.680 --> 1:45:53.120
<v Speaker 10>them in. We've done that. We started in the very beginning, right,

1:45:53.160 --> 1:45:56.160
<v Speaker 10>interview's over. Got nothing, I'm telling you for you. We

1:45:56.200 --> 1:45:58.800
<v Speaker 10>look for every way to make as comes to us

1:45:58.800 --> 1:46:00.960
<v Speaker 10>from the supplier pre Ball. But we do have people

1:46:00.960 --> 1:46:03.320
<v Speaker 10>that skewer each one till we get three. Because if

1:46:03.360 --> 1:46:05.400
<v Speaker 10>you notice the drink, it's got three melon balls to

1:46:05.400 --> 1:46:07.920
<v Speaker 10>indicate the same number, and a tennis ball cans.

1:46:08.000 --> 1:46:09.400
<v Speaker 5>That's the tie there.

1:46:09.439 --> 1:46:10.519
<v Speaker 2>I never knew why I was three.

1:46:10.680 --> 1:46:11.720
<v Speaker 5>Yeah.

1:46:11.800 --> 1:46:15.280
<v Speaker 12>What was interesting too, is I think about more broadly

1:46:15.439 --> 1:46:18.240
<v Speaker 12>the things that you guys are doing here from the

1:46:18.360 --> 1:46:20.880
<v Speaker 12>USTA and using this incredible space. I mean, it is

1:46:20.920 --> 1:46:24.120
<v Speaker 12>obviously about tennis and this is your big event, rightfully so,

1:46:24.240 --> 1:46:25.360
<v Speaker 12>but you're doing other things.

1:46:25.600 --> 1:46:28.040
<v Speaker 10>Yeah, absolutely, I mean tennis is number one. I got

1:46:28.040 --> 1:46:29.000
<v Speaker 10>to say that off the top, I.

1:46:28.960 --> 1:46:31.200
<v Speaker 12>Had to stop talking about mellon balls. I'm just I'm

1:46:31.240 --> 1:46:33.000
<v Speaker 12>just gonna say, ooops, I threw my pen on that one.

1:46:33.960 --> 1:46:37.520
<v Speaker 12>I was a little but anyway.

1:46:36.680 --> 1:46:37.080
<v Speaker 5>Yeah, I know.

1:46:37.200 --> 1:46:39.080
<v Speaker 10>Obviously tennis is number one for us, but we're always

1:46:39.080 --> 1:46:41.400
<v Speaker 10>looking for new ways to use the facility. It's great

1:46:41.960 --> 1:46:44.200
<v Speaker 10>we can bring staff in. They can work with us along,

1:46:44.400 --> 1:46:46.720
<v Speaker 10>you know, throughout the year, which is critical for us.

1:46:46.800 --> 1:46:49.120
<v Speaker 10>Like a concert venue, we would love to if you

1:46:49.160 --> 1:46:50.680
<v Speaker 10>know somebody wants to play here, you let me know.

1:46:51.439 --> 1:46:54.439
<v Speaker 2>But Taylor Taylor Swift as long as I can get

1:46:54.439 --> 1:46:54.840
<v Speaker 2>it taken out.

1:46:54.840 --> 1:46:56.599
<v Speaker 12>But do you I mean, are you talking with people

1:46:56.840 --> 1:46:59.120
<v Speaker 12>who have you know, whether it's Barkley's or other like,

1:46:59.479 --> 1:47:02.000
<v Speaker 12>they definitely relationships and they do of course.

1:47:01.800 --> 1:47:03.680
<v Speaker 10>Of course, and we do have some people talking to

1:47:03.680 --> 1:47:07.240
<v Speaker 10>other people. Yeah, to put it very vaguely, but no,

1:47:07.360 --> 1:47:09.439
<v Speaker 10>we would love to host a show for sure.

1:47:10.200 --> 1:47:10.680
<v Speaker 5>I can tell you.

1:47:10.720 --> 1:47:12.679
<v Speaker 10>Ten days after the Open this year, we'll be converting

1:47:12.760 --> 1:47:15.759
<v Speaker 10>the tennis court into a wrestling ring for AW Wrestling

1:47:16.640 --> 1:47:20.160
<v Speaker 10>on September twentieth. So it's gonna be our third show here.

1:47:20.200 --> 1:47:25.280
<v Speaker 10>They call it AW Grand Slam appropriately. Yeah, so it's

1:47:25.360 --> 1:47:27.519
<v Speaker 10>drawn about eighteen thousand people you're over here.

1:47:27.720 --> 1:47:30.160
<v Speaker 2>That's quite a few for sure. You said twenty four

1:47:30.200 --> 1:47:31.120
<v Speaker 2>thousand is capacity.

1:47:31.160 --> 1:47:33.640
<v Speaker 10>Twenty four thousand's capacity. We've got about eighteen thousand in

1:47:33.680 --> 1:47:34.559
<v Speaker 10>the house for the show.

1:47:34.960 --> 1:47:36.960
<v Speaker 2>Is it Do you typically do it with the roof

1:47:37.000 --> 1:47:38.559
<v Speaker 2>open or does it depending weather?

1:47:38.640 --> 1:47:40.240
<v Speaker 10>We actually keep the roof closed for all of our

1:47:40.240 --> 1:47:42.759
<v Speaker 10>outside events. It makes things so much easier, less worry

1:47:42.760 --> 1:47:43.720
<v Speaker 10>whether there's gonna be weather.

1:47:43.960 --> 1:47:45.640
<v Speaker 12>Yeah, I'm thinking about the dogs that we're here. They

1:47:45.680 --> 1:47:47.479
<v Speaker 12>spend a lot of time getting their hair done. Talk

1:47:47.479 --> 1:47:50.040
<v Speaker 12>to us about the Westminster I've seen it. I'm a

1:47:50.040 --> 1:47:52.439
<v Speaker 12>dog lover. I've been to the Westminster dog Show. There's

1:47:52.479 --> 1:47:55.519
<v Speaker 12>a lot of you know, primping, but you guys have

1:47:55.640 --> 1:47:56.000
<v Speaker 12>done it.

1:47:56.080 --> 1:47:57.880
<v Speaker 10>We have, we have. We got one under our belts.

1:47:57.880 --> 1:48:00.839
<v Speaker 10>We got them coming back again next May. We're super excited.

1:48:01.080 --> 1:48:03.280
<v Speaker 10>They took over Arthur ash Stadium, all the player areas,

1:48:03.320 --> 1:48:05.080
<v Speaker 10>you name it. We had three thousand dogs here over

1:48:05.120 --> 1:48:06.599
<v Speaker 10>three days. It was wild.

1:48:06.720 --> 1:48:09.519
<v Speaker 2>Okay, what's the one event that you haven't gotten to

1:48:09.560 --> 1:48:12.920
<v Speaker 2>host here that you want to host? What's on that's

1:48:12.920 --> 1:48:13.599
<v Speaker 2>aid your wish list?

1:48:14.160 --> 1:48:14.639
<v Speaker 5>My wish list.

1:48:14.760 --> 1:48:17.200
<v Speaker 10>I'll take a concert I'll take a concert, give us

1:48:17.200 --> 1:48:20.920
<v Speaker 10>a name, I call me, let's talk about it.

1:48:21.040 --> 1:48:23.120
<v Speaker 12>But you do think about the exclusivity. First of all,

1:48:23.200 --> 1:48:24.960
<v Speaker 12>it is a great venue and it is a little

1:48:24.960 --> 1:48:27.559
<v Speaker 12>bit smaller, which I like to go to smaller places, right,

1:48:27.880 --> 1:48:30.639
<v Speaker 12>I mean, otherwise they get too big, so you could

1:48:30.640 --> 1:48:31.920
<v Speaker 12>really do some really cool things.

1:48:32.120 --> 1:48:35.040
<v Speaker 10>I agree, I agree, all right, So easy to get

1:48:35.040 --> 1:48:37.200
<v Speaker 10>to yeah, which I think people forget.

1:48:37.439 --> 1:48:39.439
<v Speaker 2>Just jump on the seven train or the l R R,

1:48:39.800 --> 1:48:40.679
<v Speaker 2>which is where I did.

1:48:42.520 --> 1:48:45.760
<v Speaker 12>Someone's coming here, they're coming for a night. What would

1:48:45.800 --> 1:48:47.519
<v Speaker 12>you advise that they do. They're going to watch tennis.

1:48:47.560 --> 1:48:50.000
<v Speaker 5>But okay, you got to explore.

1:48:50.320 --> 1:48:52.600
<v Speaker 10>You know, part of hosting all these other events is

1:48:52.640 --> 1:48:55.040
<v Speaker 10>getting people out here that may not have been here before.

1:48:55.439 --> 1:48:57.000
<v Speaker 10>And I can't tell you how many people come to

1:48:57.000 --> 1:48:59.320
<v Speaker 10>one of our events, whether it be Westminster or a

1:48:59.479 --> 1:49:01.920
<v Speaker 10>w wrestling and when they walk through the gates, I

1:49:01.960 --> 1:49:03.840
<v Speaker 10>didn't even realize this place was here because they may

1:49:03.880 --> 1:49:05.920
<v Speaker 10>not be a tennis fan. So I invite everybody that's

1:49:05.960 --> 1:49:08.080
<v Speaker 10>not a tennis fan to really explore. And if you

1:49:08.120 --> 1:49:09.920
<v Speaker 10>are and you've never been here before, make sure you're

1:49:09.920 --> 1:49:12.200
<v Speaker 10>walking around to check out all the secrets behind the scenes.

1:49:12.240 --> 1:49:12.680
<v Speaker 5>And what we got.

1:49:12.760 --> 1:49:13.519
<v Speaker 12>What would you go eat?

1:49:14.400 --> 1:49:16.559
<v Speaker 10>I would probably grab some gelato from the card over

1:49:16.600 --> 1:49:19.599
<v Speaker 10>here right now is also really goodnest and Van Luin

1:49:19.640 --> 1:49:21.519
<v Speaker 10>ice cream. Can we have our own flavor? This year

1:49:21.720 --> 1:49:25.400
<v Speaker 10>they created our own us open. It's a honeycomb fudge slam.

1:49:25.439 --> 1:49:26.080
<v Speaker 5>Of course it is.

1:49:26.240 --> 1:49:27.320
<v Speaker 2>So this sounds pretty good.

1:49:27.400 --> 1:49:28.720
<v Speaker 5>Yeah, that actually sounds really good.

1:49:29.240 --> 1:49:31.280
<v Speaker 12>Thank you so much, my pleasure, good luck, good luck,

1:49:31.320 --> 1:49:32.360
<v Speaker 12>and I hope you get a little bit of a

1:49:32.360 --> 1:49:35.040
<v Speaker 12>break between your next events. Chris Dudley, of course, Senior

1:49:35.040 --> 1:49:37.160
<v Speaker 12>director of Event Services at USTA.

1:49:38.479 --> 1:49:41.719
<v Speaker 1>This is the Bloomberg Business Week podcast. I'll a little

1:49:41.880 --> 1:49:45.320
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1:49:45.800 --> 1:49:49.360
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1:49:55.840 --> 1:49:59.479
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