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Speaker 1: Global business news twenty four hours a day at Bloomberg

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Speaker 1: dot com, the Radio plus mobile labs, and on your radio.

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Speaker 1: This is a Bloomberg Business Flash Bloomberg World Handquarters. I'm Charlie.

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Speaker 1: Hebout forty three minutes to go ahead of the clothes

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Speaker 1: on this job's Friday, and we are brought to by

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Speaker 1: National Realty Managers of New York City cash Flow real Estate,

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Speaker 1: providing you twelve percent annualized returns with immediate monthly distributions.

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Speaker 1: let's head right over to the first Word Breaking news

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Speaker 1: desk for today's afternoon call, and here's Ed Lalan. Good afternoon, Charlie.

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Speaker 1: Manus averages are hired today, with the Dow ups sixty,

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Speaker 1: SMP rises eight and NASDAK gains eighteen, small capsticks Hunter

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Speaker 1: hired by six, and the US tenure y'ell at one

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Speaker 1: point six zero percent. Nine of ten SMP sectors are higher,

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Speaker 1: led by gains in utilities, energy and materials, Telecom and

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Speaker 1: healthcare lag down, Transports rise thirty, NASDAC, biotex lose seven,

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Speaker 1: Utilities up seven, and the VIX down nine percent, leaders

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Speaker 1: to the upside in the Dow include Visa, Apple, and Chevron,

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Speaker 1: while down Leaders to the downside include Nike and Walmart.

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Speaker 1: Milan falls five percent after Clinton proposes curbs for unjustified

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Speaker 1: drug price hikes. Carnival loses four percent after being cut

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Speaker 1: underweight at Morgan Stanley. Very Assigned gains six percent after

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Speaker 1: d o J letter is noncommittal in regards to competition review.

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Speaker 1: Lulu Lemon is down nine percent after missing comp sales,

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Speaker 1: comp sales and providing weak guidance, and Veriphone falls after

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Speaker 1: it cuts year adjusted EPs and revenue views. Live from

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Speaker 1: the First Word Breaking news desk, I'm at the lawn Charlie,

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Speaker 1: all right, thank you very much. Add them to hear

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Speaker 1: live breaking news over your bloom Bread kives squawk ASQ

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Speaker 1: you a w K on your terminal. I'm Charlie Pellett.

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Speaker 1: I'm that's sub bloom Bread Business Flash. You're listening to

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Speaker 1: Taking Stock with Kathleen Hayes and Pim Fox on Bloomberg Radio.

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Speaker 1: I'm Kathleen Hayes, Pim Fox on vacation. It's a day

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Speaker 1: two of our special live coverage here at the sixteen

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Speaker 1: US Tennis Open. If I need to tell you, it's

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Speaker 1: the Tennis Open. That just means you need to get

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Speaker 1: out here one of these years for a really, really

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Speaker 1: terrific event. Now we want to turn to the business

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Speaker 1: side of this, the technology side. This is so important

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Speaker 1: for the big sponsors that come to this event every year.

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Speaker 1: Elizabeth the Brian joins me now program manager for Worldwide

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Speaker 1: Sponsorship Strategy and Marketing. We're gonna talk now about the

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Speaker 1: interactive technology is cooler every year that IBM has created

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Speaker 1: for fans to use at the Open. Elizabeth, welcome, Thank you.

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Speaker 1: So what is new this year? There's cognitive courts and

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Speaker 1: IBM Watson is getting more involved than ever. So what's

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Speaker 1: at the top of the list. What the big news

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Speaker 1: really is IBM Watson playing a substantive rollout here UM,

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Speaker 1: both for the U. S t A and with the

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Speaker 1: fan experience. UM. Watson is UM a technology that's grown

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Speaker 1: and had you know, five API s back when it

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Speaker 1: won Jeopardy years ago, and now we're over forty a

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Speaker 1: p I s UM and those are sort of pieces

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Speaker 1: of function that Watson can do. And so Watson is

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Speaker 1: looking at all the photographs that the usc A photographers

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Speaker 1: are taking on the order of thousands during the tournament

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Speaker 1: and identifying players and celebrities and tagging those so that

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Speaker 1: the usc IT can actually publish those photographs out for

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Speaker 1: all the fans much more quickly, UM and expediently. I

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Speaker 1: guess uh. They're also Watson is also UM listening to

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Speaker 1: all the video that's being shot, so player interviews, video

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Speaker 1: feature segments, all the video on demand that goes on

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Speaker 1: to the digital platforms, and UM creating transcripts of those

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Speaker 1: videos so again they can post them more quickly. UM.

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Speaker 1: And the third thing Watson's doing, and this is something

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Speaker 1: that actually the public can watch Watson learned in this

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Speaker 1: case is Watson is doing the guest information piece on

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Speaker 1: the app. So if you come on site, you can

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Speaker 1: ask questions in the guest information piece UM in natural language, saying,

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Speaker 1: you know, where can I get a hamburger? And what

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Speaker 1: about a drink? You know, so, so it understands the

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Speaker 1: context of the second part of the question. In this case, UM,

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Speaker 1: and Watson is learning as it UM answers questions, so

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Speaker 1: we can answer basic questions. As it starts to get

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Speaker 1: questions that it can answer, it will learn the answers

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Speaker 1: to those and sort of grow its knowledge basis Okay,

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Speaker 1: so big company like IBM, your your brand is very

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Speaker 1: well known. You don't really need to show off your brand.

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Speaker 1: People even know about Watson. So so what do you

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Speaker 1: get out of this? Is this again to to to

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Speaker 1: make sure people the kind of uh well healed people

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Speaker 1: who are active and engaged and affluent enough to come

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Speaker 1: out here and have a great time at the US

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Speaker 1: Open are are connected to the brand. Is it because

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Speaker 1: you can try things here that you apply to other

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Speaker 1: business models. Well, all of the technology we bring here

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Speaker 1: is used for businesses around the world. So just one

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Speaker 1: example is um, you know Watson seeing and tagging photographs

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Speaker 1: I was just talking about. That's the same technology we

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Speaker 1: use to teach Watson how to read X rays and

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Speaker 1: m r s. It's the same exact technology. So there's

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Speaker 1: just a business application for an example. UM. But no,

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Speaker 1: it's not just for the fans on site, although it

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Speaker 1: does benefit the fans on site. Last year we had

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Speaker 1: over sixteen million engagements or people engaged on the digital

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Speaker 1: platforms versus in the neighborhood of seven hundred thousand who

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Speaker 1: come on site here. So it's really to help expand

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Speaker 1: the game of tennis and bring it to people wherever

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Speaker 1: they are. Cognitive Court. How smart is this court? Everything

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Speaker 1: is getting smarter than Mealizabeth now Cognitive Court is UM.

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Speaker 1: It's an area that we have actually the first time

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Speaker 1: we have fan activation on site so that people can

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Speaker 1: go in and really experience Watson. Um. We get a

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Speaker 1: lot of questions saying, where can I touch Watson? Where

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Speaker 1: can I play with Watson? And so this is an

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Speaker 1: example of sort of fun activations that can stimulate your

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Speaker 1: imagination and make you understand what the technology you can do. Okay,

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Speaker 1: how about social media and what is I mean that's

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Speaker 1: something everybody does. What what is IBM bringing its special

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Speaker 1: this year? Uh? Well Watson again, Uh, Watson doing something

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Speaker 1: kind of fun in the Cognitive Court and online where

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Speaker 1: you can do personality insights, So based on your social profile,

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Speaker 1: you can actually see which tennis players are most similar

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Speaker 1: to you, um, and uh, which celebrities might face similar

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Speaker 1: to view. We're also uh making all of the insights

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Speaker 1: from the stats and analytics and live matches share able,

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Speaker 1: so you can actually go and grab infographics and stats

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Speaker 1: and share them out on your social networks as well.

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Speaker 1: So uh, in terms of the open versus other events

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Speaker 1: that IBM gets involved into sponsors. What's special about it?

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Speaker 1: What's different about it? Oh? Well, I mean there's nothing

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Speaker 1: like tennis in New York? Right is the final Grand

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Speaker 1: Slam of the year. Um, you know each we sponsor

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Speaker 1: all four Grand Slams. Each one has a different personality

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Speaker 1: and so you know, this is the New York event.

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Speaker 1: For me, it's special. It's in my backyard. Who were

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Speaker 1: written for On the men's side, if you think it's

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Speaker 1: gonna take it, oh gosh, I really don't know. We'll

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Speaker 1: have to ask Watson. Okay, I'm gonna come fine later

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Speaker 1: you can. We can ask Watson. Watson. I'm sure we'll

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Speaker 1: have a very good answer. I guess I'll ask you

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Speaker 1: an easy one. Well, what's sounds so easy? On the

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Speaker 1: women's side, um, I would I would go with Watson again. Okay,

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Speaker 1: all right, okay, Watson, I'm coming to meet you. And

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Speaker 1: mus is definitely smarter than me, that's for sure. It

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Speaker 1: was both O Brien, thanks so much so then to

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Speaker 1: get join us here at the US Open, Program Manager

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Speaker 1: worldwide Sponsorship Strategy and Marketing for IBM, one of the

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Speaker 1: big big sponsors here at the US Open every year.

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Speaker 1: Coming up, we are going to be taking a look

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Speaker 1: at the markets, and a whole lot more. I'm Kathleen Hayes,

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Speaker 1: and this is Bloomberg. Bloomberg Taking Stock is brought to

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