WEBVTT - Live from Informatica World 2022 in Las Vegas

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<v Speaker 1>This is Bloomberg Business Week. I'm Carole Masser and I'm

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<v Speaker 1>Bloomberg Quick Takes Tim Stanibek. We're here every day bringing

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<v Speaker 1>you the latest news from the world of business and finance,

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<v Speaker 1>clus technology, politics, economics, all partnising the power of Business

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<v Speaker 1>Week reporters and editors, not to mention our journalists and

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<v Speaker 1>analyst in more than one twenty countries. You can download

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<v Speaker 1>Bloomberg Business Week and iTunes, SoundCloud, or Bloomberg dot com.

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<v Speaker 1>You can also listen to our radio show at two

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<v Speaker 1>pm Eastern Time on Bloomberg Radio or watch us on YouTube.

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<v Speaker 1>Search Bloomberg Global News for our world today largely about data,

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<v Speaker 1>and the data is getting more intelligent, if I can

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<v Speaker 1>say it that way. It's also getting much more productive,

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<v Speaker 1>and it's all happening up in the cloud. So on

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<v Speaker 1>that and so much more. We're so delighted to be

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<v Speaker 1>here in Vegas at Informatica World two. And joining us

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<v Speaker 1>right now is the CEO of Informatica's um Ahmed Wally.

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<v Speaker 1>Excuse me, and you guys are all about cloud data.

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<v Speaker 1>So great to be here. How are you good to

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<v Speaker 1>be here? And Tim welcome to Welcome to Vegas. Uh

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<v Speaker 1>what we'll tell us about. Like, there's just so much

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<v Speaker 1>going on in this world, and I think we're trying

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<v Speaker 1>to figure out kind of where we are in terms

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<v Speaker 1>of the broader economy, the broader marketplace. How do you

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<v Speaker 1>see it? Because you deal with so many customers that

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<v Speaker 1>we cover on a regular basis. Oh yeah, we're a

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<v Speaker 1>global companies, so we see literally every customer across every industry, vertical,

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<v Speaker 1>across the globe. I mean there's a lot happening macro

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<v Speaker 1>and I think we can all in some ways almost

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<v Speaker 1>some sometimes just completely in uni ourself or not look

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<v Speaker 1>at it. I think I come back. Whatever is happening

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<v Speaker 1>in the current term will come and go. But the

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<v Speaker 1>fundamental things that are changing is every enterprise is called digital.

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<v Speaker 1>Every enterprise is trying to become intelligent using the increasingly

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<v Speaker 1>coming off the pandemic, coming off the pandemic and the

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<v Speaker 1>two years of pandemic, just completely exponential growth in in

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<v Speaker 1>in in digital and in fact, the point that we

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<v Speaker 1>made is that digital is no more a differentiator, that's

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<v Speaker 1>a given. How do you get intelligent? And for that,

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<v Speaker 1>how do you become data driven? And that's what we're

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<v Speaker 1>all about, and that's what we're seeing increasing tail winds

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<v Speaker 1>and demand for that. Everybody wants to like, hey, how

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<v Speaker 1>do I harness the power of data. I have to

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<v Speaker 1>manage customers, children and environment, likeness, managed supply chains, managed

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<v Speaker 1>drug discoveries, so those become important and without data, that

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<v Speaker 1>would not have happened. And and and look at during

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<v Speaker 1>the pandemic the vaccine development happened in the shortest time possible.

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<v Speaker 1>Why and we were part of that process bringing the

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<v Speaker 1>best data, rapidly, looking at trial data, getting influence out

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<v Speaker 1>of it so you can say, well, this vaccine makes

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<v Speaker 1>sense to go out. That's what is happening and that's

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<v Speaker 1>what we see. What specifically are you hearing from companies

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<v Speaker 1>about the macro economic environment? And you know, we get

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<v Speaker 1>a good view of it, not just with the analysts

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<v Speaker 1>we talked to you, but with the CEO as we

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<v Speaker 1>talked to what we see from earnings reports were in

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<v Speaker 1>the midst of earnings right now, we're starting to see

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<v Speaker 1>inventory levels, for example, come up at retailers. They need

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<v Speaker 1>the data to sort through those inventory levels to help

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<v Speaker 1>understand what consumers are going to buy, when they're gonna

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<v Speaker 1>buy it, and control those levels. What are you hearing

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<v Speaker 1>from customers about what's going on in the macro economic environment. See,

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<v Speaker 1>there're two things we're hearing. Number one is everybody is

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<v Speaker 1>definitely cautious looking at the current economy kind of does

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<v Speaker 1>does give you what's going on. But at this same time,

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<v Speaker 1>you know, we have so many great customers who spoke

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<v Speaker 1>here and I'll give you an example, American Airlines during

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<v Speaker 1>the middle of the pandemic, and they basically invested in

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<v Speaker 1>our platform, and I'm like, what are you doing but

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<v Speaker 1>the whole I mean the whole air Lines, But they

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<v Speaker 1>realized that, Look, ultimately pandemic will be over, This macro

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<v Speaker 1>will be over when we come out. What do you

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<v Speaker 1>need to do? Manage your customer experience better? How do

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<v Speaker 1>you do it? Understand your data better? Government better? I

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<v Speaker 1>want to give it to every user across the enterprise.

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<v Speaker 1>So I think that's what I'm hearing from customers are

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<v Speaker 1>things that are the data related foundational things are here

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<v Speaker 1>to stay. Now. You may stagger it, but you cannot

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<v Speaker 1>avoid investing in it. But yes, the current macro does

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<v Speaker 1>not get away from you. You've got to look at

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<v Speaker 1>that every day and it gives you a little bit

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<v Speaker 1>of caution. But these are fundamental things that you have

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<v Speaker 1>to invest in. You know what I think about I

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<v Speaker 1>always think about our investor audience, a very smart audience,

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<v Speaker 1>but they're trying to be like, Okay, I understand. We

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<v Speaker 1>talked about data all the time. We talk about the

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<v Speaker 1>cloud all the time. What is it that you think

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<v Speaker 1>an investment audience has to understand about, you know, kind

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<v Speaker 1>of the sophistication of data, how it's becoming more intelligent,

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<v Speaker 1>Like what does that mean? And what is the you know,

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<v Speaker 1>potential top and bottom one, especially for publicly health companies.

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<v Speaker 1>So I'll give you a couple of examples. Today morning

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<v Speaker 1>I hosted a panel. We are three customers, you know,

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<v Speaker 1>one from g Digital, one from Freddie Mac and one

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<v Speaker 1>from Texas Health and Hospitals. And you know, and I'll

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<v Speaker 1>give you other examples like Kroger and all. So Kroger

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<v Speaker 1>as an example, just start to their CEO. There you go.

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<v Speaker 1>So Kroger is an informatic customer and what they were

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<v Speaker 1>using us for is he how do I get the

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<v Speaker 1>right product at the right shelf at the right time.

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<v Speaker 1>It has multiple benefits. It's a lost revenue opportunity that

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<v Speaker 1>you want to await. Plus also if you get the

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<v Speaker 1>wrong product and the right shelf, you're basically wasteedge which

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<v Speaker 1>is meat needs at more cost. And then you're managing

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<v Speaker 1>a supply chain that but if I'm a customer, I

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<v Speaker 1>want gratification. So it really goes from the revenue to

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<v Speaker 1>cost to obviously managing customer expectations. But weren't companies doing

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<v Speaker 1>that before? Like that, That to me is kind of

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<v Speaker 1>mind blowing. You would have thought that was it. See,

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<v Speaker 1>if you look at a retailer, the margins are the thinnest, right,

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<v Speaker 1>how do you manage your supply chains? So you basically

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<v Speaker 1>make sure that you're not using products on the shelf

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<v Speaker 1>at some point, right, if you get the right product,

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<v Speaker 1>if you have you know, perishable goods and you throw

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<v Speaker 1>it away, that's cost or if you have an empty shelf,

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<v Speaker 1>then you basically lost revenue. How do you get better

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<v Speaker 1>at it? And how do you do more and more

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<v Speaker 1>just in time? Look at the supply chain problem, are

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<v Speaker 1>you right? You go to all the other end. Healthcare

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<v Speaker 1>is a huge thing in it. So when John was

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<v Speaker 1>talking from Texas Health and hospitals, right, how do they

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<v Speaker 1>look at patient care to make sure that when somebody

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<v Speaker 1>is coming in they can provide the most personalized care

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<v Speaker 1>in time for that reduces again the supply chain of

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<v Speaker 1>healthcare cost but saves lives. So there are so many

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<v Speaker 1>applications like that that when we talked to customers that

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<v Speaker 1>they apply DAT or two. One thing I wanted to

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<v Speaker 1>because Tim and I talked about coming off of milk

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<v Speaker 1>and on the West Coast, we talked to a lot

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<v Speaker 1>of companies and they said, even in a volatal environment

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<v Speaker 1>where companies are taking about costs and wondering about what's next,

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<v Speaker 1>the text spand is crucial. What can you tell us

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<v Speaker 1>about your seeing in terms of companies when it comes

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<v Speaker 1>to capital expenditures, especially when it comes to tech in

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<v Speaker 1>your world. I think we are going to continue to

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<v Speaker 1>see investment in critical areas of tech. I don't think

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<v Speaker 1>that'll go away. And I think they areas of what's

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<v Speaker 1>critical tech in here? From critical in me? What drives

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<v Speaker 1>the piano? Like what you began, Hey, is it gonna

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<v Speaker 1>depending upon the industry and it's gonna help me drive

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<v Speaker 1>revenues or it's gonna help me manage cost or both.

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<v Speaker 1>Ultimately that's where it does. It's simple piano. As a CEO,

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<v Speaker 1>I look at that where does my spend and is

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<v Speaker 1>it going to help me drive more revenues or manage

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<v Speaker 1>my cost And that's where depending upon the industry, Hey,

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<v Speaker 1>I want to understand churn better, I understand acquisition better,

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<v Speaker 1>or oh my gosh, I have a huge amount of

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<v Speaker 1>waste in my supplies and how do I reduce that?

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<v Speaker 1>People are going to go invest in that kind of

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<v Speaker 1>technology versus nice to have sidebars something. What if that

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<v Speaker 1>fluff is going to go away? How are you thinking

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<v Speaker 1>about the ownership of data? As we are increasingly in

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<v Speaker 1>a world where data points exist everywhere, sensors to pick

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<v Speaker 1>up that data exist everywhere. What about from the perspective

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<v Speaker 1>of a normal human being, perhaps our investor audience, but

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<v Speaker 1>also from the perspective of your customers. Where does the

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<v Speaker 1>ownership conversation come in there? That's the one that's changing

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<v Speaker 1>a lot. So data is one of those things. It's

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<v Speaker 1>across the entire enterprise, right take a large organization. Every

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<v Speaker 1>functional unit has their data and they manage it for

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<v Speaker 1>their own purpose, you know, or if I'm the CMO,

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<v Speaker 1>I'm managing it for my own you know, demanded purposes

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<v Speaker 1>that if I'm the chief financial officer. But if you

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<v Speaker 1>see the rise of the chief data officer, that really happened.

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<v Speaker 1>And you know, serios also rules during the crisis more

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<v Speaker 1>from a governance and compliance and we've been working with

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<v Speaker 1>the studios diligently since then. In fact, we host SUDIO

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<v Speaker 1>councils too, and that if you watch more and more

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<v Speaker 1>and more, and the companies now have cdeos and from

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<v Speaker 1>compliance oriented roles, they've gone into more business oriented roles

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<v Speaker 1>and they're going in the strategy strategy. So hey, as

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<v Speaker 1>a CEO, I like, okay, my functional units have the data,

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<v Speaker 1>but I wan't like I won't understand the customer sentiment

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<v Speaker 1>across everything. You know, my customer support, my marketing data,

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<v Speaker 1>my sales data. Serios are becoming more and more important.

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<v Speaker 1>And that is, by the way, good indicator of data

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<v Speaker 1>becoming more and more in the sea. Are there limits

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<v Speaker 1>the geographically to what you can do when it comes

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<v Speaker 1>to analyzing data for a customer who's based in Europe

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<v Speaker 1>versus a smer based in the United States, Yeah, I

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<v Speaker 1>would use the limit. The world I would use is

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<v Speaker 1>that there are differences. So you're right, like GDPR came

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<v Speaker 1>along multiple years ago, so I think in Europe. In

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<v Speaker 1>certain countries there's more sensitibility to how you can use

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<v Speaker 1>the data, whereas in different countries it may be less.

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<v Speaker 1>So that is true even different states like California. I mean,

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<v Speaker 1>the laws are coming up across the board. I kind

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<v Speaker 1>of believe that that's going to be a new normal

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<v Speaker 1>where we'll have to manage data, the privacy and the

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<v Speaker 1>security data while making sure. So what we see that

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<v Speaker 1>gave rise to is governance, and that's a huge vector

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<v Speaker 1>of business group. So here's what I hear from cio

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<v Speaker 1>CIOs as us. I want to democratize data, but I

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<v Speaker 1>don't want it to be a wild West to govern

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<v Speaker 1>it for me. So and that's that we see that

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<v Speaker 1>that has risen in the last couple of years, like

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<v Speaker 1>very much. I want to create a data lake so

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<v Speaker 1>everybody can go have added sharing of data. Yes, so

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<v Speaker 1>I won't I want one place. I want to democratize data,

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<v Speaker 1>but don't make it the Wild West, because it may

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<v Speaker 1>not be compliance, it may be brand issues if the

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<v Speaker 1>wrong data goes into the hands of wrong users. I mean,

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<v Speaker 1>look at the pharmaceutical industry. Maybe in drug discovery and

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<v Speaker 1>I also bring sales and marketing. You can put data

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<v Speaker 1>together to understand, but different people should have access differently.

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<v Speaker 1>That's what we see here. All we see that in

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<v Speaker 1>the financial industry in terms of the division. Hey listen, UM,

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<v Speaker 1>got a couple of minutes left here, and I do

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<v Speaker 1>wonder you know, you were talking about supply chains and

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<v Speaker 1>helping other companies and your clients manage that. When you

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<v Speaker 1>look at some of the big macro issues, whether it's

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<v Speaker 1>higher prices, supply chains, labor constraints, what's type of mind?

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<v Speaker 1>What what of those big macro issues are affecting you.

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<v Speaker 1>Guys at inform Aerica, you know, we obviously look at customers, uh,

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<v Speaker 1>different industries and up operating differently. I look at obviously

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<v Speaker 1>text spend carefully, I look at business priorities very differently.

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<v Speaker 1>Which business priorities are getting optimized differently. The one beauty

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<v Speaker 1>of the data businesses I caught it be a very

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<v Speaker 1>recession receiving because okay, everybody needs are eight time you

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<v Speaker 1>drive revenue. In a bad time, you drive down cost

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<v Speaker 1>and and by the way, in the bad time, you

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<v Speaker 1>also want to manage with me for the power for

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<v Speaker 1>the future, So you need data for that. And that's

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<v Speaker 1>what we see generally helps I see initiatives can go

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<v Speaker 1>from growth growth, growth, growth to manage cost cost cost

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<v Speaker 1>cost cost on a little bit of both. So and

0:10:04.679 --> 0:10:06.960
<v Speaker 1>different industries on different places right now. But can you

0:10:06.960 --> 0:10:10.080
<v Speaker 1>get all the workers you need? That is definitely I

0:10:10.120 --> 0:10:12.200
<v Speaker 1>think it's a challenge that all of us face. Although

0:10:12.240 --> 0:10:14.880
<v Speaker 1>having said that, I do believe that where the economy

0:10:14.960 --> 0:10:16.439
<v Speaker 1>is right now, the second half of this hell will

0:10:16.440 --> 0:10:18.600
<v Speaker 1>actually stabilize a lot of things. You do. Yeah, I think,

0:10:18.760 --> 0:10:22.040
<v Speaker 1>because look up when when when when economy starts looking shaky,

0:10:22.320 --> 0:10:25.680
<v Speaker 1>actrician always goes down, people get settled, people won't comfort

0:10:25.720 --> 0:10:28.640
<v Speaker 1>people in safety. So our goal has always been, hey,

0:10:28.960 --> 0:10:30.960
<v Speaker 1>we gotta we have a platform company. Well, the product

0:10:31.000 --> 0:10:33.760
<v Speaker 1>company helped we give a lot more opportunities for people

0:10:33.800 --> 0:10:36.200
<v Speaker 1>to come and do innovative work. And I do see

0:10:36.240 --> 0:10:38.200
<v Speaker 1>that across the board. When I talked to my peers,

0:10:38.760 --> 0:10:42.439
<v Speaker 1>it was really a difficult time for everybody. But I think,

0:10:42.440 --> 0:10:43.960
<v Speaker 1>I think it will become very different in the second

0:10:44.160 --> 0:10:45.880
<v Speaker 1>before we let you go, just in thirty seconds, you've

0:10:45.920 --> 0:10:48.120
<v Speaker 1>been with Informatica for quite a while. Well, it was

0:10:48.160 --> 0:10:50.320
<v Speaker 1>a public company then when it was taken private, now

0:10:50.440 --> 0:10:52.600
<v Speaker 1>taking it public again just a few months ago what's

0:10:52.640 --> 0:10:54.679
<v Speaker 1>the main difference in the company now when it was

0:10:54.800 --> 0:10:58.920
<v Speaker 1>versus when I was prid were Well, I mean we

0:10:59.000 --> 0:11:03.200
<v Speaker 1>were a single product on premise license company. Today we

0:11:03.200 --> 0:11:06.720
<v Speaker 1>have a multi product cloud native platform company. We have

0:11:06.800 --> 0:11:09.600
<v Speaker 1>a much bigger tim We only sell subscription and your

0:11:09.600 --> 0:11:11.199
<v Speaker 1>cloud native. And the biggest thing I show you is

0:11:11.240 --> 0:11:13.760
<v Speaker 1>that we were a less than fifty million dollars subscription

0:11:13.880 --> 0:11:16.280
<v Speaker 1>at our company in six years ago. This is we've

0:11:16.280 --> 0:11:19.120
<v Speaker 1>guided to a billion dollars in subscription change. So it's

0:11:19.120 --> 0:11:22.839
<v Speaker 1>the biggest startup that got created within an existing company.

0:11:22.840 --> 0:11:25.720
<v Speaker 1>And that's what you're proud of. It's a public private preference.

0:11:26.040 --> 0:11:29.600
<v Speaker 1>Well you know what that can be days today the

0:11:29.600 --> 0:11:33.920
<v Speaker 1>shares are higher, so probably a good day to be company. Well, yeah,

0:11:33.920 --> 0:11:35.800
<v Speaker 1>thank you so much and thanks for hosting us here

0:11:35.840 --> 0:11:38.040
<v Speaker 1>at Informatica World. We really appreciate it. Thanks for coming,

0:11:38.160 --> 0:11:41.800
<v Speaker 1>the CEO of Informatica. You're listening to Bloomberg Business Week

0:11:42.000 --> 0:11:45.960
<v Speaker 1>with Carol Masser and Bloomberg Quick Takes. Tim Stinovic on

0:11:46.120 --> 0:11:50.000
<v Speaker 1>Bloomberg Radio. Shares the Facebook meta, by the way up

0:11:50.000 --> 0:11:52.880
<v Speaker 1>for the one percent. This as the company has wrapped up.

0:11:53.360 --> 0:11:56.240
<v Speaker 1>It's an annual shareholder meeting today a flurry of headlines,

0:11:56.320 --> 0:12:00.440
<v Speaker 1>including one where Mark Zuckerberg of Meta Facebook says that

0:12:00.520 --> 0:12:02.920
<v Speaker 1>Reel's is a top priority for company, which leads us

0:12:03.000 --> 0:12:05.680
<v Speaker 1>so well to a story in the upcoming new issue

0:12:05.679 --> 0:12:08.840
<v Speaker 1>of Bloomberg Business Week out tomorrow. Yeah. The story written

0:12:08.840 --> 0:12:11.680
<v Speaker 1>by Brad Stone and Sarah Fryer. Sarah Fryer is Big

0:12:11.720 --> 0:12:14.439
<v Speaker 1>Tech team leader for Bloomberg new She's also the author

0:12:14.480 --> 0:12:18.200
<v Speaker 1>of the fantastic book No Filter, The Inside Story of Instagram.

0:12:18.360 --> 0:12:21.040
<v Speaker 1>Sarah joins us this afternoon on the phone from San Francisco.

0:12:21.120 --> 0:12:24.280
<v Speaker 1>Also with us is Joel Webber, the editor of Bloomberg

0:12:24.320 --> 0:12:27.640
<v Speaker 1>Business Week. He's in the Bloomberg Interactive Broker studio back

0:12:27.679 --> 0:12:29.400
<v Speaker 1>in New York. Joel, I want to start with the

0:12:29.400 --> 0:12:33.040
<v Speaker 1>news that I learned in this piece that Instagram's co

0:12:33.160 --> 0:12:37.120
<v Speaker 1>founder Kevin Sistrom just a few years ago. Uh, it's

0:12:37.280 --> 0:12:41.440
<v Speaker 1>urged that Facebook bosses by an app called Musically that

0:12:41.520 --> 0:12:45.920
<v Speaker 1>ultimately became TikTok. They passed on it, and now you

0:12:46.000 --> 0:12:48.640
<v Speaker 1>have TikTok stealing a lot of thunder, especially when it

0:12:48.679 --> 0:12:52.280
<v Speaker 1>comes to younger consumers that Facebook's Instagram wants. Yeah, that

0:12:52.400 --> 0:12:56.080
<v Speaker 1>was a really uh juicy little tidbit um from from

0:12:56.080 --> 0:12:59.760
<v Speaker 1>inside the world that is now now meta. And you know,

0:12:59.840 --> 0:13:01.720
<v Speaker 1>I think if you zoom back and kind of think

0:13:01.720 --> 0:13:06.160
<v Speaker 1>about what's made meta meta alt meta, is that it

0:13:06.280 --> 0:13:12.120
<v Speaker 1>was obviously Facebook's relentless acquisitions and innovations, and a lot

0:13:12.160 --> 0:13:16.000
<v Speaker 1>of those innovations UM were actually kind of copycat efforts,

0:13:16.040 --> 0:13:18.520
<v Speaker 1>and sometimes that went really well. If you kind of

0:13:18.559 --> 0:13:20.719
<v Speaker 1>think about what what some of the features that were

0:13:20.720 --> 0:13:23.800
<v Speaker 1>built into two Instagram and the filters and sort of

0:13:23.840 --> 0:13:26.640
<v Speaker 1>that snap vibe, it really allowed them to kind of

0:13:26.679 --> 0:13:30.920
<v Speaker 1>like overcome the competition that they once had with snap Uh.

0:13:31.000 --> 0:13:33.160
<v Speaker 1>And on the other side, they've they've had a few

0:13:33.440 --> 0:13:36.719
<v Speaker 1>things that have floundered, So it's not like that that

0:13:36.880 --> 0:13:40.079
<v Speaker 1>strategy that has kind of helped um. You know, Facebook

0:13:40.160 --> 0:13:44.680
<v Speaker 1>reached three billion people around the world always works. But

0:13:44.880 --> 0:13:48.000
<v Speaker 1>they have ran up against a competitor the likes of

0:13:48.040 --> 0:13:51.280
<v Speaker 1>which they have not really had this much of an

0:13:51.280 --> 0:13:56.040
<v Speaker 1>existential dread about. And that competitor is TikTok. And part

0:13:56.040 --> 0:13:59.880
<v Speaker 1>of what makes TikTok go so well and has taken

0:14:00.000 --> 0:14:03.520
<v Speaker 1>off during the pandemic is that and its ability to

0:14:03.600 --> 0:14:07.560
<v Speaker 1>capture this youth culture. Is this algorithm that really surfaces

0:14:07.760 --> 0:14:10.080
<v Speaker 1>people who who maybe you have never even used the

0:14:10.120 --> 0:14:13.800
<v Speaker 1>platform before, and it harnesses it is this drug and

0:14:14.000 --> 0:14:17.240
<v Speaker 1>there's a sense of discovery. And when you tap into

0:14:17.320 --> 0:14:21.160
<v Speaker 1>what Facebook has, it maybe doesn't feel the same. And

0:14:21.520 --> 0:14:24.680
<v Speaker 1>the you know, as Facebook here tries to pivot into

0:14:24.680 --> 0:14:29.720
<v Speaker 1>the metaverse. Reels is the Instagram product that Sarah Fryer

0:14:29.760 --> 0:14:32.640
<v Speaker 1>has written about here. Facebook is putting meta, is putting

0:14:32.640 --> 0:14:36.640
<v Speaker 1>a ton of weight on reels, this feature within Instagram

0:14:36.680 --> 0:14:40.120
<v Speaker 1>to be the thing that takes on TikTok. How is

0:14:40.160 --> 0:14:45.280
<v Speaker 1>that going so far? Sarah, Well, it's it's really a

0:14:45.360 --> 0:14:48.320
<v Speaker 1>big gamble. I mean, what they're doing here, it's hard

0:14:48.320 --> 0:14:51.960
<v Speaker 1>to oversee how much is changing Instagram. Instagram teams to

0:14:52.040 --> 0:14:56.840
<v Speaker 1>prominence based on its aspirational lifestyle photography. You know that

0:14:57.040 --> 0:14:58.680
<v Speaker 1>the stuff you would go and you'd scroll and you

0:14:58.800 --> 0:15:03.440
<v Speaker 1>see people their vacations, they're having their nice meals. Um,

0:15:03.480 --> 0:15:07.760
<v Speaker 1>this this reel experience. It's all videos, short form video,

0:15:08.480 --> 0:15:12.400
<v Speaker 1>and they're forcing it into every user feed. So when

0:15:12.400 --> 0:15:14.880
<v Speaker 1>you scroll through those nice photos, you're going to get

0:15:14.920 --> 0:15:18.040
<v Speaker 1>these videos of sound, right, and if you quick on them,

0:15:18.360 --> 0:15:21.080
<v Speaker 1>you're in in real you can't it's like hard to

0:15:21.080 --> 0:15:23.920
<v Speaker 1>get out of it. I I've you know, watch people

0:15:24.040 --> 0:15:27.120
<v Speaker 1>try this um and and just get really confused and like, Okay,

0:15:27.120 --> 0:15:30.760
<v Speaker 1>what's happening to Instagram? And it might even get more

0:15:30.880 --> 0:15:33.960
<v Speaker 1>redesigned in that direction. You might eventually open Instagram and

0:15:33.960 --> 0:15:38.000
<v Speaker 1>it's all the short form videos basically essentially TikTok. So

0:15:38.320 --> 0:15:41.680
<v Speaker 1>it's not just that they're trying to copy TikTok, it's

0:15:41.760 --> 0:15:47.800
<v Speaker 1>that they are basically completely reinventing Instagram in the process

0:15:48.120 --> 0:15:51.880
<v Speaker 1>because they're so desperate to bring back that team demographic,

0:15:51.960 --> 0:15:55.080
<v Speaker 1>which the Zuckerberg sees as the future. I mean, these

0:15:55.120 --> 0:15:57.560
<v Speaker 1>people they develop their habits, and they have their habits,

0:15:57.560 --> 0:16:00.280
<v Speaker 1>they have their communities, they've established it, and he wants

0:16:00.320 --> 0:16:04.480
<v Speaker 1>them to be establishing it on his platforms. And Instagram

0:16:04.680 --> 0:16:08.080
<v Speaker 1>is his It's become like his Swiss Army knife of

0:16:08.120 --> 0:16:11.800
<v Speaker 1>the team demographic, which has made Instagram incredibly confusing and

0:16:11.960 --> 0:16:15.880
<v Speaker 1>pack the features, and um, you know, it's a risk.

0:16:15.960 --> 0:16:18.400
<v Speaker 1>It's a big risk because it's such an important property.

0:16:18.400 --> 0:16:21.680
<v Speaker 1>It's it's the main revenue driver for Facebook, the main

0:16:21.760 --> 0:16:26.760
<v Speaker 1>revenue growth driver, I say, and you know they're they're

0:16:26.880 --> 0:16:30.080
<v Speaker 1>risking it to tibet the farm on becoming TikTok walk

0:16:30.160 --> 0:16:34.560
<v Speaker 1>us through that confusion that that users are are confronted

0:16:34.600 --> 0:16:37.680
<v Speaker 1>with when they now launch Instagram, which you used to

0:16:37.720 --> 0:16:44.560
<v Speaker 1>be this well curated, square boxed uh platform, right um,

0:16:44.600 --> 0:16:46.920
<v Speaker 1>and you could curate it and it was awesome and

0:16:47.200 --> 0:16:49.440
<v Speaker 1>very simple. What what does it look like now and

0:16:49.480 --> 0:16:51.960
<v Speaker 1>what could it become? Because you have some interesting reporting

0:16:51.960 --> 0:16:54.720
<v Speaker 1>on that well. In the way I described it in

0:16:54.760 --> 0:16:57.440
<v Speaker 1>the story, it's just like it's like you're you're cruising

0:16:57.480 --> 0:17:00.000
<v Speaker 1>to required art gallery, neutral in the corner, and you're

0:17:00.080 --> 0:17:02.640
<v Speaker 1>in a dance party. It can be very jarring. And

0:17:02.720 --> 0:17:06.719
<v Speaker 1>if you're in the mode of silence images and then

0:17:06.720 --> 0:17:10.160
<v Speaker 1>you go into sound, um, your brain is just working differently.

0:17:10.200 --> 0:17:13.240
<v Speaker 1>And so I think that what people come to Instagram

0:17:13.320 --> 0:17:17.320
<v Speaker 1>for um. People have spent years, spent more than a

0:17:17.359 --> 0:17:20.639
<v Speaker 1>decade curating who they follow on Instagram. Now when you

0:17:20.680 --> 0:17:23.359
<v Speaker 1>go to Instagram, the top thing you are going to

0:17:23.400 --> 0:17:26.200
<v Speaker 1>get it suggestions. Your feet is going to become full

0:17:26.320 --> 0:17:29.040
<v Speaker 1>of stuff that you didn't say you wanted, and a

0:17:29.080 --> 0:17:31.280
<v Speaker 1>lot of it is going to be experimental and not

0:17:31.480 --> 0:17:34.720
<v Speaker 1>based on what you've been following before. And that's that's

0:17:34.720 --> 0:17:37.240
<v Speaker 1>a huge bet for Facebook at large. They want to

0:17:37.240 --> 0:17:40.240
<v Speaker 1>become more about discovery, for the last fourteen years since

0:17:40.280 --> 0:17:42.240
<v Speaker 1>the invention of the New Seed, they've been really good

0:17:42.240 --> 0:17:44.560
<v Speaker 1>at showing you what they already know you want to see.

0:17:44.880 --> 0:17:47.840
<v Speaker 1>Now it's about showing you stuff that you never even

0:17:47.880 --> 0:17:50.280
<v Speaker 1>knew you wanted to see, which TikTok is really good

0:17:50.280 --> 0:17:55.720
<v Speaker 1>at and Facebook is really not yet, Sarah. These platforms

0:17:55.720 --> 0:17:58.879
<v Speaker 1>are nothing without the people who use them, without the

0:17:58.880 --> 0:18:00.879
<v Speaker 1>people who create a content. And you spoke to some

0:18:00.960 --> 0:18:04.960
<v Speaker 1>influencers who have done pretty well on TikTok. What's Instagram

0:18:05.000 --> 0:18:09.280
<v Speaker 1>doing to try to court them and is it working well?

0:18:09.760 --> 0:18:14.000
<v Speaker 1>The number one thing that matters to these these content

0:18:14.040 --> 0:18:18.040
<v Speaker 1>creators right now is money. So if Instagram says, listen,

0:18:18.040 --> 0:18:21.200
<v Speaker 1>our algorithm is only going to show people your content

0:18:21.320 --> 0:18:23.760
<v Speaker 1>if you're making real. They're going to make real because

0:18:23.760 --> 0:18:25.680
<v Speaker 1>they have to. This is their livelihood. But they're not

0:18:25.720 --> 0:18:28.679
<v Speaker 1>gonna like it, um necessarily. And and so I suppose

0:18:28.720 --> 0:18:31.879
<v Speaker 1>that creators who said who that listen, Like, you know,

0:18:31.920 --> 0:18:35.680
<v Speaker 1>they got me here, I have to make reels or else, um.

0:18:35.720 --> 0:18:38.560
<v Speaker 1>But you know, it's it's not the same, Like I'm

0:18:38.600 --> 0:18:40.639
<v Speaker 1>not connecting with my audience the way I used to.

0:18:41.600 --> 0:18:44.400
<v Speaker 1>And you know, I just wonder what happens when that

0:18:44.520 --> 0:18:47.560
<v Speaker 1>money pods drives up and and they're not you know

0:18:47.560 --> 0:18:50.240
<v Speaker 1>they really they have to see the creators. They have

0:18:50.320 --> 0:18:52.600
<v Speaker 1>to create a culture around it. You know, when you

0:18:53.040 --> 0:18:55.359
<v Speaker 1>go and talk to somebody on the street, they're not

0:18:55.400 --> 0:18:58.159
<v Speaker 1>going to know necessarily what reels is. They know what

0:18:58.280 --> 0:19:01.240
<v Speaker 1>Instagram is, they know what Facebook is. Um, do you

0:19:01.280 --> 0:19:04.920
<v Speaker 1>know what TikTok is? But it's using things to describe

0:19:05.280 --> 0:19:10.320
<v Speaker 1>too regular people because they're not part of this creator world. Um.

0:19:10.400 --> 0:19:13.800
<v Speaker 1>These influence are the people who creates this content. They

0:19:13.840 --> 0:19:16.960
<v Speaker 1>are the ones that are driving the culture. And Instagram

0:19:17.000 --> 0:19:20.000
<v Speaker 1>needs to prove that it can create new stars on

0:19:20.080 --> 0:19:23.400
<v Speaker 1>Instagram through this strategy, not just keep the old ones

0:19:23.440 --> 0:19:26.920
<v Speaker 1>writing it out until a new classroom comes along. Wow.

0:19:27.080 --> 0:19:30.000
<v Speaker 1>Another great deep dive for me. Sarah and understanding cert

0:19:30.119 --> 0:19:32.400
<v Speaker 1>like this world and Meta and Facebook. Sarah Fryer, big

0:19:32.400 --> 0:19:34.920
<v Speaker 1>tech team leader at Bloomberg and Jill Webber, the editor

0:19:34.920 --> 0:19:39.080
<v Speaker 1>of Business Week. This is Bloomberg Business Week with Carol

0:19:39.119 --> 0:19:43.960
<v Speaker 1>Masser and Bloomberg Quick Takes Tim Stinovic on Bloomberg Radio

0:19:43.960 --> 0:19:47.560
<v Speaker 1>Live at Informatical World two in Vegas. And you know

0:19:47.640 --> 0:19:51.359
<v Speaker 1>mckensee noted earlier this year, UM and ar think at

0:19:51.400 --> 0:19:53.240
<v Speaker 1>the end of last year, they talked about financial data

0:19:53.280 --> 0:19:55.960
<v Speaker 1>created or use throughout the life cycle of financial services.

0:19:56.080 --> 0:19:59.479
<v Speaker 1>We know financial data, tim it's constantly about accumulation of it, uh,

0:19:59.600 --> 0:20:01.919
<v Speaker 1>making that their security in the use of it, but

0:20:02.040 --> 0:20:04.320
<v Speaker 1>also increasingly making sure that when it comes to the

0:20:04.359 --> 0:20:07.520
<v Speaker 1>financial markets risk off thinking about those factors right and

0:20:07.520 --> 0:20:09.880
<v Speaker 1>then taking that data and making sense of it. Well,

0:20:10.040 --> 0:20:12.600
<v Speaker 1>that's where Peter Coup, Vice president and chief of Financial

0:20:12.600 --> 0:20:15.879
<v Speaker 1>Strategist at Informatica comes in. He's with us on site

0:20:15.880 --> 0:20:19.119
<v Speaker 1>at Informatica World. Peter, how are you great. How you

0:20:19.119 --> 0:20:21.760
<v Speaker 1>guys doing We're doing pretty well. Um, to help us

0:20:21.800 --> 0:20:23.720
<v Speaker 1>understand what the environment looks like right now from a

0:20:23.760 --> 0:20:27.320
<v Speaker 1>financial services perspective, because you're the guy out there working

0:20:27.480 --> 0:20:30.040
<v Speaker 1>with financial services companies to help them make sense of

0:20:30.080 --> 0:20:33.480
<v Speaker 1>their data. You know, financial services is obviously a heavy

0:20:33.520 --> 0:20:35.600
<v Speaker 1>producer of data. They also consume it as well, but

0:20:35.680 --> 0:20:38.080
<v Speaker 1>data is just really a byproduct of the interactions and

0:20:38.119 --> 0:20:41.280
<v Speaker 1>transactions a part of the industry. What we're seeing from

0:20:41.280 --> 0:20:45.680
<v Speaker 1>our customers, whether it's wealth management, banks, the insurance industry,

0:20:46.119 --> 0:20:48.280
<v Speaker 1>they need to grow the business. They need to identify

0:20:48.320 --> 0:20:51.200
<v Speaker 1>ways and opportunities to make money off of their existing customers.

0:20:51.480 --> 0:20:54.359
<v Speaker 1>They also need to provide better customer experience. At the

0:20:54.400 --> 0:20:56.560
<v Speaker 1>same time, they're dealing with all the regulations that we

0:20:56.600 --> 0:20:58.520
<v Speaker 1>know about, and when a new regulation comes about, the

0:20:58.520 --> 0:21:03.679
<v Speaker 1>old ones don't go away the regulators anymore. And the

0:21:03.720 --> 0:21:07.640
<v Speaker 1>regulators are not only just demanding good reports, they're asking

0:21:07.680 --> 0:21:09.800
<v Speaker 1>what data did you use, where did it come from,

0:21:09.800 --> 0:21:13.760
<v Speaker 1>how was it produced, etcetera. We talk about risk management,

0:21:13.760 --> 0:21:17.119
<v Speaker 1>I mean, look what the world today with geopolitical risks,

0:21:17.480 --> 0:21:20.960
<v Speaker 1>climate change, etcetera. Organizations really need to have a better

0:21:21.000 --> 0:21:23.840
<v Speaker 1>handle of the information that they need in order to

0:21:24.600 --> 0:21:27.520
<v Speaker 1>monitor as well as and ensure that they are reporting

0:21:27.520 --> 0:21:30.600
<v Speaker 1>their risk positions accurately. And then at the end of

0:21:30.600 --> 0:21:33.480
<v Speaker 1>the day, organizations have to be more agile than ever

0:21:33.600 --> 0:21:36.080
<v Speaker 1>when time equals money and you have to respond to

0:21:36.119 --> 0:21:40.399
<v Speaker 1>a threat or an opportunity, no longer can organizations rely

0:21:40.520 --> 0:21:43.280
<v Speaker 1>on day old data has to be real time, all right.

0:21:43.320 --> 0:21:45.879
<v Speaker 1>So these are the macro level business drivers that's fueling

0:21:45.960 --> 0:21:49.679
<v Speaker 1>investments in data governance, data management, all the things that

0:21:49.720 --> 0:21:52.640
<v Speaker 1>Informatica is doing. But keep in mind also we live

0:21:52.640 --> 0:21:55.119
<v Speaker 1>in a world where data privacy is no longer a

0:21:55.119 --> 0:21:57.760
<v Speaker 1>biproduct of it t it's front and center. It's a

0:21:57.800 --> 0:22:00.919
<v Speaker 1>board level discussion. We've seen gdp R setting mandates here

0:22:00.960 --> 0:22:02.440
<v Speaker 1>in the US with c c p A and c

0:22:02.640 --> 0:22:05.160
<v Speaker 1>r p A. What we're now seeing is the organization

0:22:05.200 --> 0:22:08.199
<v Speaker 1>that's all about transparency and increase reporting and really tracking

0:22:08.240 --> 0:22:10.880
<v Speaker 1>everything when it comes to rate out of the financial crisis.

0:22:11.040 --> 0:22:15.080
<v Speaker 1>It did, and it's also protecting information about our customers

0:22:15.119 --> 0:22:18.320
<v Speaker 1>or employees. Not only is it bad business practice not

0:22:18.400 --> 0:22:20.520
<v Speaker 1>to do so, but at the end of the day,

0:22:20.680 --> 0:22:24.400
<v Speaker 1>reputations can be impacted forever. What I want to ask about, Peter,

0:22:24.440 --> 0:22:26.119
<v Speaker 1>when it comes to the financial community, and I think

0:22:26.119 --> 0:22:29.080
<v Speaker 1>about Bloomberg. We're so familiar with the just tons and

0:22:29.080 --> 0:22:31.199
<v Speaker 1>tons of data and then putting it to use and

0:22:31.240 --> 0:22:34.400
<v Speaker 1>making it productive, but it's also about securing it right

0:22:34.480 --> 0:22:37.240
<v Speaker 1>and making sure it is safe, it's protected. But it's

0:22:37.280 --> 0:22:39.520
<v Speaker 1>also something that helps your top and bottom line your

0:22:40.119 --> 0:22:43.239
<v Speaker 1>data collection. So the financial community, you know, often has

0:22:43.280 --> 0:22:45.679
<v Speaker 1>done so much in house. Now we're talking about right

0:22:45.720 --> 0:22:48.840
<v Speaker 1>the profusion of the cloud. How do you guys adapt

0:22:48.880 --> 0:22:51.360
<v Speaker 1>to that and meet their needs? So we've sen meet

0:22:51.400 --> 0:22:54.320
<v Speaker 1>their concerns. There's a huge paradigm shift that has occurred

0:22:54.320 --> 0:22:56.959
<v Speaker 1>in the financial services industry in the last decade. When

0:22:57.000 --> 0:22:59.719
<v Speaker 1>you talked about cloud computing ten years ago, people are like,

0:23:00.080 --> 0:23:02.600
<v Speaker 1>I don't know if I want to have my fund exactly.

0:23:02.960 --> 0:23:05.719
<v Speaker 1>You know, is it is it? Literally? Uh, software as

0:23:05.720 --> 0:23:08.600
<v Speaker 1>a service, as an infrastructure a service, etcetera, etcetera, And

0:23:08.680 --> 0:23:12.199
<v Speaker 1>it's all of the above. Organizations want to ensure that

0:23:12.240 --> 0:23:14.720
<v Speaker 1>they're agile, that they can expand when they need to,

0:23:15.200 --> 0:23:17.199
<v Speaker 1>and it's less about having your own data centers, your

0:23:17.200 --> 0:23:20.040
<v Speaker 1>own people. I can subscribe to analytics or AWS. I

0:23:20.040 --> 0:23:23.560
<v Speaker 1>can go out and purchase Salesforce as my CRM solution.

0:23:24.160 --> 0:23:26.200
<v Speaker 1>But the challenge is that you have more data that's

0:23:26.240 --> 0:23:28.840
<v Speaker 1>being proliferated in the cloud and those old systems that

0:23:28.880 --> 0:23:31.639
<v Speaker 1>still remain on premise, they're not going away. So you

0:23:31.680 --> 0:23:33.840
<v Speaker 1>have to ensure that you can manage and govern all

0:23:33.840 --> 0:23:36.919
<v Speaker 1>that data by directionally and that you have transparency and

0:23:37.000 --> 0:23:39.800
<v Speaker 1>visibility as to what data is being created or consumed

0:23:39.840 --> 0:23:41.600
<v Speaker 1>in the cloud. Can you give us an example when

0:23:41.600 --> 0:23:43.440
<v Speaker 1>you look out at the landscape, because you've been doing

0:23:43.480 --> 0:23:45.320
<v Speaker 1>this for a long time, what does the next five

0:23:45.400 --> 0:23:48.600
<v Speaker 1>years look like in terms of what a regular person

0:23:48.640 --> 0:23:53.200
<v Speaker 1>would experience when they interact with financial services. As a result,

0:23:53.560 --> 0:23:55.480
<v Speaker 1>of the analysis of data, like what will they be

0:23:55.520 --> 0:23:58.560
<v Speaker 1>able to do differently because you can crunch those numbers.

0:23:58.800 --> 0:24:01.560
<v Speaker 1>But to your question average consumer, you know, we talk

0:24:01.640 --> 0:24:05.040
<v Speaker 1>about and we hear about artificial intelligence and machine learning

0:24:05.240 --> 0:24:07.400
<v Speaker 1>right in the context of credit checks and sorts of things.

0:24:07.440 --> 0:24:09.960
<v Speaker 1>But here, you know, we see robo advisor technologies, lenching

0:24:10.000 --> 0:24:13.119
<v Speaker 1>AI technologies the ability to actually provide the level of

0:24:13.200 --> 0:24:15.600
<v Speaker 1>service that a human being can. I don't think we'll

0:24:15.600 --> 0:24:18.880
<v Speaker 1>ever get replaced by technology in itself, but it's helping, right,

0:24:18.960 --> 0:24:22.520
<v Speaker 1>And it's allowing organizations to be more connected and integrated

0:24:22.560 --> 0:24:25.159
<v Speaker 1>to not just the consumer through their mobile app or

0:24:25.200 --> 0:24:27.560
<v Speaker 1>on the website, but as part of their daily lives.

0:24:27.800 --> 0:24:31.119
<v Speaker 1>And what we're gonna see is more people and consumers

0:24:31.640 --> 0:24:34.480
<v Speaker 1>really looking at their financial situations as a partner for

0:24:34.560 --> 0:24:38.240
<v Speaker 1>life rather than just a transactional relationship. And data and

0:24:38.280 --> 0:24:40.440
<v Speaker 1>information is going to be required in order for these

0:24:40.440 --> 0:24:43.159
<v Speaker 1>firms to provide the level of service and expectations that

0:24:43.160 --> 0:24:45.520
<v Speaker 1>their customers demand. Just kind about a middle left. I

0:24:45.560 --> 0:24:47.240
<v Speaker 1>have to ask you, because we've spend so much time

0:24:47.240 --> 0:24:48.600
<v Speaker 1>to talk about E s G. And you do feel

0:24:48.640 --> 0:24:51.720
<v Speaker 1>like you're coming to this moment of reckoning where people regulators,

0:24:51.760 --> 0:24:53.639
<v Speaker 1>we start come out of damos, you know, asking for

0:24:53.680 --> 0:24:56.400
<v Speaker 1>some oversights and metrics so that we can really understand

0:24:56.400 --> 0:24:58.439
<v Speaker 1>what it's about. How can you guys help with that process,

0:24:58.440 --> 0:25:00.720
<v Speaker 1>and again just about a lot of data that you

0:25:00.760 --> 0:25:03.399
<v Speaker 1>have to deal with, collect, integrate from third parties and

0:25:03.400 --> 0:25:05.560
<v Speaker 1>so forth. Place has to be open source, right, it

0:25:06.119 --> 0:25:07.879
<v Speaker 1>can be, But the thing is, if you don't know

0:25:07.960 --> 0:25:10.679
<v Speaker 1>what data really is there, how they should use it,

0:25:11.040 --> 0:25:13.640
<v Speaker 1>where does it come from, can they trust it? You're

0:25:13.640 --> 0:25:16.520
<v Speaker 1>going to find organizations suffering from the same challenges that

0:25:16.520 --> 0:25:18.480
<v Speaker 1>they've been dealing with each and every day. E s

0:25:18.520 --> 0:25:21.680
<v Speaker 1>G just puts another requirement on the table that's forefront,

0:25:21.840 --> 0:25:24.120
<v Speaker 1>and we're going to see more and more organizations realizing

0:25:24.160 --> 0:25:26.439
<v Speaker 1>that they have to do something about the way they

0:25:26.480 --> 0:25:28.679
<v Speaker 1>manage and govern data. They can't rely on the people

0:25:28.920 --> 0:25:31.560
<v Speaker 1>that they have and the old technologies. This is the

0:25:31.560 --> 0:25:35.000
<v Speaker 1>time for the financial services industry to innovate and that's

0:25:35.000 --> 0:25:37.760
<v Speaker 1>what Informatica is doing. All right, really fine. I feel

0:25:37.800 --> 0:25:40.119
<v Speaker 1>like we scratched the services. So much going on, so

0:25:40.160 --> 0:25:42.120
<v Speaker 1>hopefully we can maybe talk to you again in the future.

0:25:42.400 --> 0:25:44.560
<v Speaker 1>I'd love to because there's so much going on. Certainly

0:25:44.600 --> 0:25:47.560
<v Speaker 1>Peter kop he's vice president, chief financial Strategies at Informatica.

0:25:47.600 --> 0:25:51.720
<v Speaker 1>Here at informatic or World two. You're listening to Bloomberg

0:25:51.760 --> 0:25:55.480
<v Speaker 1>Business Week with Carol Masser and Bloomberg Quick Takes Tim

0:25:55.520 --> 0:25:59.719
<v Speaker 1>Stinovic on Bloomberg Radio. Earlier this year, Grandview Research came

0:25:59.760 --> 0:26:02.040
<v Speaker 1>out him and they noted that the cloud computing market

0:26:02.080 --> 0:26:04.240
<v Speaker 1>size forecast to be worth about one and a half

0:26:04.320 --> 0:26:09.119
<v Speaker 1>trillion by the compound annual growth rate of nearly a

0:26:09.160 --> 0:26:11.720
<v Speaker 1>lot of demand, and it's leading to innovation. Well, let's

0:26:11.760 --> 0:26:15.679
<v Speaker 1>ask what type of innovation it's leading to. Ditch Guys,

0:26:15.960 --> 0:26:20.440
<v Speaker 1>executive vice president and a chief product officer at Informatica.

0:26:20.520 --> 0:26:23.040
<v Speaker 1>He's here with us on site in Vegas. He oversees

0:26:23.080 --> 0:26:26.920
<v Speaker 1>product management, user experience, design, engineering and cloud operations. Touch.

0:26:27.000 --> 0:26:28.439
<v Speaker 1>Good to have you with us. How are you? I

0:26:28.480 --> 0:26:31.320
<v Speaker 1>am well, I'm well, very busy, but great to be here.

0:26:31.400 --> 0:26:33.400
<v Speaker 1>We'll talk a little bit about how the cloud is evolving,

0:26:33.400 --> 0:26:36.920
<v Speaker 1>because I thought you're gonna say, well, well, I mean,

0:26:37.000 --> 0:26:39.840
<v Speaker 1>if you think it's it's interesting. Um. I believe the

0:26:39.880 --> 0:26:44.240
<v Speaker 1>first mention of the cloud from Informatica was gosh, fifteen

0:26:44.280 --> 0:26:47.000
<v Speaker 1>years ago, all the way back in two thousand six. Yes,

0:26:47.119 --> 0:26:51.360
<v Speaker 1>we've We've been around and we've been leading the market

0:26:51.760 --> 0:26:55.920
<v Speaker 1>with many many innovations and generations of data and analytics

0:26:55.960 --> 0:26:58.320
<v Speaker 1>on premises as well as in the cloud. There was

0:26:58.359 --> 0:27:01.119
<v Speaker 1>this there were data warehouse is and data marks. Then

0:27:01.119 --> 0:27:03.119
<v Speaker 1>there was this thing called big data and hadoop, and

0:27:03.200 --> 0:27:05.560
<v Speaker 1>now all of it's in the cloud and uh, and

0:27:05.600 --> 0:27:07.520
<v Speaker 1>we're powering all of it. You know, I think from

0:27:07.520 --> 0:27:10.240
<v Speaker 1>a lay person, I think about I remember the Bloomberg

0:27:10.280 --> 0:27:13.080
<v Speaker 1>story when they talked about if you were streaming from

0:27:13.119 --> 0:27:17.840
<v Speaker 1>Amazon Web Services, you're getting something from the cloud, like like,

0:27:17.920 --> 0:27:21.359
<v Speaker 1>so you're using Netflix, you're actually using an Amazon product exactly.

0:27:21.400 --> 0:27:23.720
<v Speaker 1>And we started learning about stream you know, in terms

0:27:23.760 --> 0:27:26.960
<v Speaker 1>of the cloud and like how all of that was happening. Um,

0:27:27.200 --> 0:27:30.480
<v Speaker 1>talk to us in terms of how the cloud continues

0:27:30.520 --> 0:27:33.399
<v Speaker 1>to evolve and how we are using it. Yeah, you know,

0:27:34.080 --> 0:27:36.679
<v Speaker 1>the cloud first started with I'm just going to deploy

0:27:37.080 --> 0:27:39.640
<v Speaker 1>some servers and make it easy for people to put

0:27:39.640 --> 0:27:42.920
<v Speaker 1>their applications on those servers. That was called i as.

0:27:43.200 --> 0:27:46.240
<v Speaker 1>Then it became well, I'm just going to build applications.

0:27:46.280 --> 0:27:48.480
<v Speaker 1>You don't even have to worry about installing them. They're

0:27:48.520 --> 0:27:52.760
<v Speaker 1>just applications. That's the whole sas Moniker. All of it

0:27:52.840 --> 0:27:57.600
<v Speaker 1>is driving agility exactly exactly, Software as a service, all

0:27:57.640 --> 0:28:01.040
<v Speaker 1>of that is driving agility. All of that driving making

0:28:01.040 --> 0:28:04.080
<v Speaker 1>it easier for organizations to get the benefit of technology

0:28:04.119 --> 0:28:07.399
<v Speaker 1>without having to install it, without having to manage it,

0:28:07.440 --> 0:28:11.800
<v Speaker 1>and getting the latest most innovative technology because as technology providers,

0:28:12.000 --> 0:28:14.760
<v Speaker 1>we're rolling out innovations on a on a monthly basis.

0:28:14.760 --> 0:28:20.159
<v Speaker 1>In the cloud, what we're doing is now powering data

0:28:20.720 --> 0:28:23.320
<v Speaker 1>for organizations in the cloud. What we're doing is we're

0:28:23.440 --> 0:28:26.960
<v Speaker 1>enabling organizations to drive their data, their analytics, they're reporting

0:28:27.520 --> 0:28:30.760
<v Speaker 1>as a service. What are you hearing from these organizations

0:28:30.760 --> 0:28:33.159
<v Speaker 1>in terms of what they want right now and what

0:28:33.240 --> 0:28:39.200
<v Speaker 1>they expect? What do they expect from analysis in the cloud? Yeah,

0:28:39.280 --> 0:28:42.719
<v Speaker 1>So the big problem in the amazing opportunity for us

0:28:42.760 --> 0:28:45.640
<v Speaker 1>is there's literally zeta bytes of data. What is this

0:28:46.280 --> 0:28:51.760
<v Speaker 1>contextualizing exactly exactly a lot of zeros and and the

0:28:51.800 --> 0:28:54.720
<v Speaker 1>important part is only about four to five percent of

0:28:54.760 --> 0:28:59.000
<v Speaker 1>it is being used in delivering value. Data volumes keep

0:28:59.040 --> 0:29:03.960
<v Speaker 1>growing and the opportunity to derive insights is in analyzing

0:29:04.000 --> 0:29:07.200
<v Speaker 1>as much data as you can. The opportunity to uh

0:29:07.440 --> 0:29:10.719
<v Speaker 1>deliver a cross sell up sell promotional offer for an

0:29:10.800 --> 0:29:14.480
<v Speaker 1>organization is based on hyper personalization. It's based on how

0:29:14.520 --> 0:29:16.840
<v Speaker 1>much data you have. It's based on the AI you're

0:29:16.960 --> 0:29:20.520
<v Speaker 1>using against that data to make intelligent recommendations, based on

0:29:20.560 --> 0:29:23.720
<v Speaker 1>your buying preferences, on your buying preferences, and on my

0:29:23.800 --> 0:29:27.840
<v Speaker 1>buying preferences. And that comes down to trusted data. That's

0:29:27.840 --> 0:29:31.880
<v Speaker 1>what we deliver our organizations increasingly thinking about my data,

0:29:32.200 --> 0:29:35.800
<v Speaker 1>DOCEI A, Tim's data, DOCEI A? Your data do SI A?

0:29:36.360 --> 0:29:39.560
<v Speaker 1>And I mean obviously very valuable, but then kind of

0:29:39.600 --> 0:29:41.920
<v Speaker 1>who is the ownership of that? And then how do

0:29:42.040 --> 0:29:44.400
<v Speaker 1>you use that going forward? And and a key element

0:29:44.480 --> 0:29:48.680
<v Speaker 1>of trusted data is ensuring privacy, ensuring that the right

0:29:49.040 --> 0:29:53.440
<v Speaker 1>data is used for the right purposes with the right consent.

0:29:53.600 --> 0:29:56.800
<v Speaker 1>And that's a that's an important that We have four

0:29:56.960 --> 0:30:00.440
<v Speaker 1>journeys that we empower for our customers. These are digital

0:30:00.480 --> 0:30:06.440
<v Speaker 1>transformation journeys around analytics and AI empowering their analytics initiatives,

0:30:06.440 --> 0:30:10.520
<v Speaker 1>their AI are artificial intelligence initiatives as well as around

0:30:11.560 --> 0:30:16.680
<v Speaker 1>application integration and intelligent automation of business processes within the organization,

0:30:16.680 --> 0:30:21.360
<v Speaker 1>which referred to as digital And then there's enabling them

0:30:21.360 --> 0:30:24.920
<v Speaker 1>to transform the supply chains, enabling them to transform their

0:30:24.960 --> 0:30:28.800
<v Speaker 1>customer experiences. They're enabling them to go digital and bring

0:30:28.840 --> 0:30:33.440
<v Speaker 1>their products and enabling us to to shop for these

0:30:33.480 --> 0:30:36.680
<v Speaker 1>products and e commerce experiences became so much in the demand.

0:30:36.720 --> 0:30:38.800
<v Speaker 1>If you think about the last two years between pandemic

0:30:38.880 --> 0:30:41.720
<v Speaker 1>and supply chain snarls, that is exactly right. That is

0:30:41.760 --> 0:30:45.120
<v Speaker 1>exactly right, and and and to continue that threat. The

0:30:45.200 --> 0:30:48.880
<v Speaker 1>last journey that's extremely important is data governance and privacy,

0:30:49.000 --> 0:30:52.560
<v Speaker 1>making sure that we're enabling the consumption of this data

0:30:52.640 --> 0:30:56.920
<v Speaker 1>within the global two thousand and beyond. But we've governed

0:30:57.080 --> 0:31:00.800
<v Speaker 1>with governance and the appropriate Paul this he used to consume.

0:31:01.480 --> 0:31:03.800
<v Speaker 1>We only have about thirty forty seconds here. You have

0:31:03.840 --> 0:31:06.920
<v Speaker 1>a degree in electrical engineering. My father was an electrical engineer.

0:31:07.280 --> 0:31:11.080
<v Speaker 1>Are we producing enough engineers in society for the demand

0:31:11.120 --> 0:31:13.640
<v Speaker 1>that's really needed? Just your thoughts on that. We could

0:31:13.640 --> 0:31:17.840
<v Speaker 1>always use more engineers. My father is an engineer, I'm

0:31:17.880 --> 0:31:21.720
<v Speaker 1>an engineer. Uh, I'd love to see more engineers. I'd

0:31:21.720 --> 0:31:24.440
<v Speaker 1>like to see more diversity and engineers as well, both

0:31:24.440 --> 0:31:28.120
<v Speaker 1>from both from a demographic geographic as well as from

0:31:28.120 --> 0:31:30.040
<v Speaker 1>a gender standpoint. We do have a little bit of

0:31:30.040 --> 0:31:31.680
<v Speaker 1>extra time with you. So I just want to get

0:31:31.680 --> 0:31:34.880
<v Speaker 1>an idea of how it is attracting and retaining talent

0:31:35.040 --> 0:31:37.880
<v Speaker 1>right now, especially with regards I mean, it's interesting because

0:31:37.880 --> 0:31:41.160
<v Speaker 1>we talked a lot about in recent weeks hiring freezes

0:31:41.160 --> 0:31:44.480
<v Speaker 1>in Silicon Valley startups, uh not being an environment that

0:31:44.520 --> 0:31:46.480
<v Speaker 1>they were in over the last few years where they're

0:31:46.480 --> 0:31:48.840
<v Speaker 1>just flush with cash as venture capitalists tighten their belt.

0:31:49.200 --> 0:31:51.200
<v Speaker 1>Are you starting to see it's actually easier to attract

0:31:51.200 --> 0:31:53.080
<v Speaker 1>and retain talent or is it still really hard for

0:31:53.120 --> 0:31:56.360
<v Speaker 1>you to build out these teams. It's an extremely competitive environment.

0:31:56.560 --> 0:31:58.760
<v Speaker 1>But you know what I do want to emphasize as

0:31:58.800 --> 0:32:02.280
<v Speaker 1>I'm hiring, So please if if they're talented still looking,

0:32:02.640 --> 0:32:07.120
<v Speaker 1>I please visit our website and our career services page.

0:32:07.680 --> 0:32:10.160
<v Speaker 1>I'm definitely that's a really notable thing to hear right now,

0:32:10.240 --> 0:32:13.920
<v Speaker 1>because we're hearing across the industry of hiring freezes. We

0:32:13.920 --> 0:32:16.560
<v Speaker 1>send it offers at Twitter for example. Well, you know

0:32:16.560 --> 0:32:18.800
<v Speaker 1>it's funny. I was just over in Panama and we

0:32:18.960 --> 0:32:22.320
<v Speaker 1>did a big conference from Bloomberg Live and talking with

0:32:22.360 --> 0:32:25.360
<v Speaker 1>the chief operating officer of DLocal, and she said one

0:32:25.400 --> 0:32:27.040
<v Speaker 1>of the things that I said what what can we

0:32:27.080 --> 0:32:30.520
<v Speaker 1>do to help entrepreneurship, the creation of unicorns and technology

0:32:30.560 --> 0:32:32.680
<v Speaker 1>you know, around the world. And she said, we just

0:32:32.760 --> 0:32:35.560
<v Speaker 1>need to be better in terms of education and steering

0:32:35.600 --> 0:32:39.640
<v Speaker 1>a younger population. And she spent she's talked specifically about engineering. Yes,

0:32:40.040 --> 0:32:44.840
<v Speaker 1>I couldn't it well stem in general driving innovation. One

0:32:44.880 --> 0:32:46.480
<v Speaker 1>thing I wanted to ask you about in terms of

0:32:46.520 --> 0:32:49.200
<v Speaker 1>just going back to data because we talked earlier about

0:32:49.240 --> 0:32:51.640
<v Speaker 1>on the on the broadcast about data dump and it's no,

0:32:52.080 --> 0:32:55.600
<v Speaker 1>data isn't useful unless you can work through it make

0:32:55.600 --> 0:32:58.440
<v Speaker 1>it productive. You guys think a lot about having this

0:32:58.480 --> 0:33:02.120
<v Speaker 1>three sixty degree data when when we say something like that,

0:33:02.200 --> 0:33:06.480
<v Speaker 1>what does that mean? Well, there's three sixty degree views

0:33:06.760 --> 0:33:12.280
<v Speaker 1>to deliver context around data. Otherwise it's just numbers words.

0:33:13.440 --> 0:33:17.920
<v Speaker 1>There's Jetesh, Well, Jetesh is what a person. There's contexts

0:33:17.920 --> 0:33:22.640
<v Speaker 1>about jes Gitesha's chief product officer at Informatica. That's now context.

0:33:22.920 --> 0:33:26.640
<v Speaker 1>Jtesha has an electrical engineering degree. That's context. J Tesh

0:33:27.600 --> 0:33:30.280
<v Speaker 1>enjoys hiking on the weekends with his two young boys.

0:33:30.360 --> 0:33:34.520
<v Speaker 1>That's context. That's now building three sixty three sixty view.

0:33:34.800 --> 0:33:39.560
<v Speaker 1>Jetesh has these buying preferences gitesh enjoys making milklot is

0:33:39.600 --> 0:33:43.800
<v Speaker 1>on the weekends. These are all, Um, there's a dating profile.

0:33:43.800 --> 0:33:48.040
<v Speaker 1>I'm just gonna well, you know there's there's a professional

0:33:48.120 --> 0:33:49.640
<v Speaker 1>three sixty views and what do you do with those

0:33:49.640 --> 0:33:52.400
<v Speaker 1>three sixty views? Well, if you're if you're in the

0:33:52.440 --> 0:33:56.800
<v Speaker 1>wealth management business, you understand their investment profile. You you

0:33:56.880 --> 0:34:00.160
<v Speaker 1>understand uh, you know, you have householding information, and you

0:34:00.240 --> 0:34:04.440
<v Speaker 1>understand who their relationships are. You understand what could be

0:34:04.480 --> 0:34:09.080
<v Speaker 1>interesting cross sell, up sell opportunities to offer investment products,

0:34:09.080 --> 0:34:11.799
<v Speaker 1>mortgage products. You have a question, Yeah, I'm just thinking,

0:34:11.840 --> 0:34:14.600
<v Speaker 1>how do these profiles, how do they see three sixty

0:34:14.600 --> 0:34:18.160
<v Speaker 1>degree views? How do they follow you from one platform

0:34:18.160 --> 0:34:21.440
<v Speaker 1>to another platform? How do they allow a mortgage broker

0:34:21.480 --> 0:34:26.080
<v Speaker 1>to to reach you? But also somebody outside of financial

0:34:26.120 --> 0:34:30.160
<v Speaker 1>services for example? Very open, No, no, no. So what

0:34:30.200 --> 0:34:36.799
<v Speaker 1>we're doing is we're helping an individual organization empower itself

0:34:36.880 --> 0:34:42.000
<v Speaker 1>with its own data. So we're not we're not enabling organization.

0:34:42.040 --> 0:34:45.440
<v Speaker 1>We're not. We're not we're not delivering data to an organization.

0:34:45.520 --> 0:34:49.120
<v Speaker 1>We're helping and every organization has create every enterprise creates

0:34:49.120 --> 0:34:51.839
<v Speaker 1>its own data. We're helping them harness the power of

0:34:51.840 --> 0:34:55.239
<v Speaker 1>that data, helping them, organizing it and helping them make

0:34:55.280 --> 0:34:57.719
<v Speaker 1>it productive. Do you do you envision a time when

0:34:58.520 --> 0:35:04.120
<v Speaker 1>we as consumers of our own data, and we're somehow

0:35:04.120 --> 0:35:06.640
<v Speaker 1>in the blockchain, the context of the blockchain, and we

0:35:06.680 --> 0:35:09.719
<v Speaker 1>can travel with that data where we want. It's an

0:35:09.719 --> 0:35:13.360
<v Speaker 1>interesting question. You have rights to your data today under

0:35:13.600 --> 0:35:16.160
<v Speaker 1>g d P R C c p A. These are

0:35:16.440 --> 0:35:20.719
<v Speaker 1>privacy regulations, California's as well as the European Union. You

0:35:20.760 --> 0:35:24.080
<v Speaker 1>have rights to go to an organization and ask for

0:35:24.239 --> 0:35:26.160
<v Speaker 1>how are you using my data? And can you give

0:35:26.160 --> 0:35:28.680
<v Speaker 1>it to me? And can you not use my data

0:35:28.680 --> 0:35:32.920
<v Speaker 1>for sales and marketing purposes? That exists today, asked to

0:35:33.160 --> 0:35:36.000
<v Speaker 1>whether it resides in a blockchain and the future and

0:35:36.080 --> 0:35:39.040
<v Speaker 1>you can carry it with you. It's an interesting It's

0:35:39.040 --> 0:35:42.040
<v Speaker 1>an interesting question. I'd like to understand what the application

0:35:42.080 --> 0:35:46.279
<v Speaker 1>of that. I'd rather others have some understanding of my

0:35:46.400 --> 0:35:50.560
<v Speaker 1>preferences to make my experiences productive, to make customer service

0:35:50.600 --> 0:35:54.520
<v Speaker 1>and engagement for me more productive in in serving me,

0:35:55.080 --> 0:35:57.880
<v Speaker 1>I certainly wouldn't want that data use for malicious purposes

0:35:57.960 --> 0:36:01.200
<v Speaker 1>and and and therein lies the balance the analize regulations

0:36:01.719 --> 0:36:04.200
<v Speaker 1>and the like. I have to say, Um, coming to

0:36:04.280 --> 0:36:06.640
<v Speaker 1>this event, um and reading in and doing a bunch

0:36:06.640 --> 0:36:08.520
<v Speaker 1>of research. One of the things that I always find interesting,

0:36:09.040 --> 0:36:11.520
<v Speaker 1>and there's a function on the Bloomberg that you basically

0:36:11.520 --> 0:36:13.680
<v Speaker 1>can put a company in. You can find out who

0:36:13.719 --> 0:36:16.759
<v Speaker 1>their suppliers are and then who their customers are. And

0:36:16.800 --> 0:36:19.200
<v Speaker 1>what's interesting is you guys work with everybody who's big

0:36:19.200 --> 0:36:21.640
<v Speaker 1>in the cloud, whether it's AWS, whether it's Microsoft, where

0:36:21.640 --> 0:36:24.759
<v Speaker 1>it's Google. Um, what are some of the conversations you're

0:36:24.800 --> 0:36:27.360
<v Speaker 1>having with these people about kind of what their demands

0:36:27.360 --> 0:36:30.440
<v Speaker 1>are and where the cloud and where data is going. Yeah,

0:36:30.560 --> 0:36:35.160
<v Speaker 1>because they are such pig aggregators of information. Correct. Correct,

0:36:35.200 --> 0:36:37.440
<v Speaker 1>And that's why we have deep partnerships with them and

0:36:37.480 --> 0:36:40.399
<v Speaker 1>they have deep partnerships with us. Is while they are

0:36:40.440 --> 0:36:45.719
<v Speaker 1>aggregating information on behalf of their enterprise customers, which are

0:36:45.760 --> 0:36:51.000
<v Speaker 1>also our enterprise customers, we are helping them aggregate that information.

0:36:52.320 --> 0:36:55.640
<v Speaker 1>We're helping them on ramp that information into a w

0:36:55.880 --> 0:36:59.640
<v Speaker 1>S Azure g c P Oracle, which we just announced today,

0:36:59.680 --> 0:37:01.759
<v Speaker 1>the or cold cloud as well. Yeah, and it makes

0:37:01.800 --> 0:37:03.960
<v Speaker 1>them have the ability to use it. We have to

0:37:04.040 --> 0:37:06.600
<v Speaker 1>run to touch. Thank you so much, my pleasure, happy

0:37:06.640 --> 0:37:08.799
<v Speaker 1>to be here. I really appreciate your guy. He's chief

0:37:08.800 --> 0:37:12.720
<v Speaker 1>product Officer at Informatica. You're listening to Bloomberg Business Week

0:37:12.920 --> 0:37:16.880
<v Speaker 1>with Carol Messer and Bloomberg Quick Takes Tim Stinovic on

0:37:17.000 --> 0:37:21.440
<v Speaker 1>Bloomberg Radio. We're live in Las Vegas at Informatico World

0:37:21.520 --> 0:37:23.120
<v Speaker 1>and our next get just part of the team over

0:37:23.160 --> 0:37:26.160
<v Speaker 1>at Freddie Mac. They are responsible for within eleven million

0:37:26.200 --> 0:37:29.040
<v Speaker 1>active loans, a balance sheet of over two point one trillion.

0:37:29.200 --> 0:37:32.040
<v Speaker 1>That's it. That's it. It's a lot of information and

0:37:32.160 --> 0:37:34.600
<v Speaker 1>data to keep track of and also to keep secure.

0:37:34.680 --> 0:37:37.600
<v Speaker 1>Here with more is Arvin jag Jaggon eight and Vice

0:37:37.640 --> 0:37:40.680
<v Speaker 1>president and Chief Data Officer at the Government Sponsored Enterprise

0:37:40.719 --> 0:37:43.360
<v Speaker 1>of GSC. It is, of course Freddie Mack here on

0:37:43.480 --> 0:37:47.040
<v Speaker 1>site at Informatica World in Las Vegas. Jack, good to

0:37:47.120 --> 0:37:49.400
<v Speaker 1>chat with you. How are you doing great? Really appreciate

0:37:49.480 --> 0:37:51.759
<v Speaker 1>being here. Well, let's talk. I mean, there's so much

0:37:51.800 --> 0:37:53.440
<v Speaker 1>that we want to get to with you. But you're

0:37:53.480 --> 0:37:56.440
<v Speaker 1>the chief data officer. You have such a unique insight

0:37:56.600 --> 0:37:58.719
<v Speaker 1>into the health of the US economy, the health of

0:37:58.719 --> 0:38:01.600
<v Speaker 1>the housing market. I want to start there and get

0:38:01.640 --> 0:38:03.839
<v Speaker 1>an idea from you of of of and look with

0:38:03.880 --> 0:38:06.239
<v Speaker 1>the you know, with the caveat You're not an economist,

0:38:06.600 --> 0:38:08.480
<v Speaker 1>but what does the landscape look like to you right now?

0:38:08.640 --> 0:38:10.319
<v Speaker 1>See a lot of data that you see a lot

0:38:10.520 --> 0:38:14.200
<v Speaker 1>so in terms of you think about transformation and UM

0:38:14.600 --> 0:38:17.560
<v Speaker 1>looking at data going into the cloud. Ultimately, you know

0:38:17.600 --> 0:38:19.920
<v Speaker 1>when when you look at what we're trying to achieve

0:38:19.960 --> 0:38:23.880
<v Speaker 1>in terms of being successful in our mission UM the

0:38:23.920 --> 0:38:26.439
<v Speaker 1>increase of demand that you've seen in the last couple

0:38:26.480 --> 0:38:29.520
<v Speaker 1>of years, and you look forward into ever changing economy

0:38:29.920 --> 0:38:32.879
<v Speaker 1>requires us in terms of how we want to modernize,

0:38:33.200 --> 0:38:36.080
<v Speaker 1>take advantage of the cloud UM and look at in

0:38:36.160 --> 0:38:39.560
<v Speaker 1>terms of meeting our mission. So in terms of understanding

0:38:39.640 --> 0:38:42.560
<v Speaker 1>the data, without going into all the various points, when

0:38:42.560 --> 0:38:45.879
<v Speaker 1>you think about from our first quarter results right eight

0:38:45.960 --> 0:38:49.680
<v Speaker 1>two people we were able to either buy rent or

0:38:49.760 --> 0:38:54.160
<v Speaker 1>free finance at home two and two three billion UM

0:38:54.280 --> 0:38:56.560
<v Speaker 1>liquidity came and you know, well we were able to

0:38:56.560 --> 0:38:59.479
<v Speaker 1>provide off which in terms of what I just mentioned

0:38:59.520 --> 0:39:02.640
<v Speaker 1>in terms of the first time home buyers were first

0:39:02.680 --> 0:39:07.359
<v Speaker 1>time right of which met are affordable our goals. So

0:39:07.640 --> 0:39:09.640
<v Speaker 1>that you know, if you think about what's happening with

0:39:09.680 --> 0:39:13.720
<v Speaker 1>the economy, UM housing is still right you seeing demand

0:39:14.480 --> 0:39:17.080
<v Speaker 1>and think about increasing So if you look at that,

0:39:18.000 --> 0:39:21.120
<v Speaker 1>I think closer to three trillion in terms of assets, right,

0:39:21.440 --> 0:39:24.680
<v Speaker 1>we were able to the demand is requiring us to

0:39:24.800 --> 0:39:27.719
<v Speaker 1>be more nimble, right as well as in terms of

0:39:27.760 --> 0:39:30.480
<v Speaker 1>me making sure that every meeting our mission that make

0:39:30.560 --> 0:39:33.000
<v Speaker 1>home possible for it. Well, that's the interesting point. And

0:39:33.040 --> 0:39:35.279
<v Speaker 1>this is you know, some of the conversations that we

0:39:35.320 --> 0:39:37.799
<v Speaker 1>have with the CEO of Informatica, uh, and just kind

0:39:37.800 --> 0:39:41.080
<v Speaker 1>of the theme woven throughout is that there's data and

0:39:41.080 --> 0:39:42.920
<v Speaker 1>then there's smart data. Right, You guys want to make

0:39:42.920 --> 0:39:44.719
<v Speaker 1>sure you've got a mission. You do want to make

0:39:44.719 --> 0:39:46.600
<v Speaker 1>sure that the money and the assistance is getting to

0:39:46.600 --> 0:39:48.879
<v Speaker 1>the people who really really need it. And that's where

0:39:48.920 --> 0:39:51.160
<v Speaker 1>data can come in, right to find that you're getting

0:39:51.160 --> 0:39:53.760
<v Speaker 1>it to the right home buyers, so our potential home buyers.

0:39:54.080 --> 0:39:57.160
<v Speaker 1>So if you think about how technology is changing, right,

0:39:57.480 --> 0:40:01.600
<v Speaker 1>ultimately we're going to realize, uh, how do we more nimble?

0:40:01.680 --> 0:40:04.040
<v Speaker 1>What's what's it going to do to that bar lender experience,

0:40:04.280 --> 0:40:08.080
<v Speaker 1>What's it gonna do from our servicing standpoint? Um, it's

0:40:08.080 --> 0:40:11.640
<v Speaker 1>going to continue to evolve. Where we're trying to figure

0:40:11.640 --> 0:40:13.600
<v Speaker 1>out is how do we continue to move the needle

0:40:14.080 --> 0:40:18.000
<v Speaker 1>to make more UM home ownership rather beyond the multi

0:40:18.000 --> 0:40:23.560
<v Speaker 1>family or the single family side UM affordable and accessible accessible, Right,

0:40:23.640 --> 0:40:26.840
<v Speaker 1>that's the time. That's where the mission is really tying

0:40:26.880 --> 0:40:29.239
<v Speaker 1>into what is the data that you're looking at now

0:40:29.280 --> 0:40:31.759
<v Speaker 1>that you're able to aggregate, that you're able to analyze,

0:40:31.960 --> 0:40:33.920
<v Speaker 1>that you're able to make sense of that you weren't

0:40:33.920 --> 0:40:36.319
<v Speaker 1>able to do let's say five ten years ago. Give

0:40:36.360 --> 0:40:39.160
<v Speaker 1>us specific examples of what you have the power to

0:40:39.200 --> 0:40:41.080
<v Speaker 1>do now and then how that translates into the home

0:40:41.080 --> 0:40:44.719
<v Speaker 1>buying experienced. So if you think about origination and you

0:40:44.760 --> 0:40:47.879
<v Speaker 1>think about five ten years ago, UM, things were much

0:40:47.920 --> 0:40:50.840
<v Speaker 1>more siloed in terms of processes. Right, So if you

0:40:50.880 --> 0:40:53.840
<v Speaker 1>think people process technology, So as I talked about the

0:40:53.840 --> 0:40:56.839
<v Speaker 1>culture change, so how do we in terms of loan

0:40:56.920 --> 0:41:00.440
<v Speaker 1>origination as they're changing and evolving, how can we if

0:41:00.440 --> 0:41:04.080
<v Speaker 1>you think about our reperand warrant relief that you know,

0:41:04.360 --> 0:41:07.200
<v Speaker 1>that's that's there before everything was paper during and now

0:41:07.200 --> 0:41:09.760
<v Speaker 1>you're able from a lender bar experience able to provide

0:41:09.760 --> 0:41:13.480
<v Speaker 1>that UM data right for them to make decisions in

0:41:13.520 --> 0:41:17.400
<v Speaker 1>the more quicker manner. We've we've thought about reimagining our

0:41:17.520 --> 0:41:22.160
<v Speaker 1>entire servicing UH portfolio. The background UM that has been

0:41:22.680 --> 0:41:25.160
<v Speaker 1>something that we were investing and looking at in terms

0:41:25.200 --> 0:41:27.719
<v Speaker 1>of the front end, the bar experience, but then also

0:41:27.760 --> 0:41:29.640
<v Speaker 1>the servicing side because that's how people when you think

0:41:29.640 --> 0:41:32.520
<v Speaker 1>about a thirty year mortgage, they're dealing with the services.

0:41:32.560 --> 0:41:36.040
<v Speaker 1>So we've done various activities and products right to help

0:41:36.120 --> 0:41:38.359
<v Speaker 1>improve that side of the business as well. How did

0:41:38.360 --> 0:41:40.960
<v Speaker 1>the pandemic impact you, guys in terms of your approach

0:41:41.000 --> 0:41:44.200
<v Speaker 1>and your use of data or analytics or either class

0:41:44.480 --> 0:41:46.279
<v Speaker 1>the stuff that you know, all the technology that in

0:41:46.320 --> 0:41:50.160
<v Speaker 1>from the met provides no great, great rushing um on

0:41:50.200 --> 0:41:52.320
<v Speaker 1>a personal level. I look at in terms of you

0:41:52.360 --> 0:41:57.400
<v Speaker 1>when you think about COVID March Friday, take your laptop.

0:41:57.440 --> 0:41:58.799
<v Speaker 1>We don't know if we're gonna come back and guess

0:41:58.800 --> 0:42:03.200
<v Speaker 1>what's it was our last show in studio. You didn't

0:42:03.200 --> 0:42:06.160
<v Speaker 1>come back. What you've seen in the last couple of

0:42:06.239 --> 0:42:12.040
<v Speaker 1>years is accessible. Uh, having data more accessible we became

0:42:12.120 --> 0:42:15.520
<v Speaker 1>key right because people were now virtual. So before I

0:42:15.560 --> 0:42:16.960
<v Speaker 1>can come by your desk and can you print me

0:42:17.000 --> 0:42:19.319
<v Speaker 1>out something or can you give me they wanted more

0:42:19.520 --> 0:42:22.160
<v Speaker 1>more dashboards. How do you get data to be more consolidated?

0:42:22.480 --> 0:42:24.759
<v Speaker 1>So that Ford was reporting you're able to meet the

0:42:24.800 --> 0:42:28.600
<v Speaker 1>speed to market demand increased, So in COVID, clearly there

0:42:28.640 --> 0:42:31.200
<v Speaker 1>was a dip, but then you saw housing and everyone else,

0:42:31.760 --> 0:42:35.560
<v Speaker 1>so that fostered not only transformation in every and every

0:42:35.600 --> 0:42:38.200
<v Speaker 1>aspect of business line. One thing I do want to

0:42:38.200 --> 0:42:40.400
<v Speaker 1>ask you though, because you guys had an incredible search

0:42:40.480 --> 0:42:42.200
<v Speaker 1>during the pandemic, right, we know, all of a sudden

0:42:42.200 --> 0:42:45.480
<v Speaker 1>everybody was like, I'm moving, I'm buying houses out inside

0:42:45.480 --> 0:42:50.400
<v Speaker 1>the backyard. I need a backyard and I need extra space. Um,

0:42:50.520 --> 0:42:52.480
<v Speaker 1>how does it compare to what you were seeing? You

0:42:52.520 --> 0:42:54.200
<v Speaker 1>talked about some of the volumes that you guys are

0:42:54.239 --> 0:42:56.680
<v Speaker 1>just seeing as of late, But how does it compare

0:42:56.719 --> 0:42:59.920
<v Speaker 1>our things slowing down? I mean we've seen it with

0:43:00.160 --> 0:43:02.200
<v Speaker 1>the rise in mortgage rates. I'm just curious in terms

0:43:02.239 --> 0:43:03.960
<v Speaker 1>of the data processing, are you seeing it slow down

0:43:03.960 --> 0:43:07.560
<v Speaker 1>a little bit? I mean again in terms of again

0:43:07.600 --> 0:43:12.000
<v Speaker 1>from a data perspective, I'll let UM more economists and

0:43:11.360 --> 0:43:14.640
<v Speaker 1>and and are you processing less? It's not so much

0:43:14.640 --> 0:43:17.120
<v Speaker 1>even processing less. I think what we're what we're seeing

0:43:17.320 --> 0:43:21.680
<v Speaker 1>is that UM being efficient, making sure that we can

0:43:21.719 --> 0:43:24.879
<v Speaker 1>meet our mission. Being successful in terms of making home

0:43:24.920 --> 0:43:29.279
<v Speaker 1>possible is is critical today as it was two years ago.

0:43:29.920 --> 0:43:33.479
<v Speaker 1>Do you have data that gives you an informed view

0:43:33.800 --> 0:43:36.160
<v Speaker 1>of how hot the housing market is and how much

0:43:36.160 --> 0:43:39.120
<v Speaker 1>it could slow down because mortgage rates are increasing. You know,

0:43:39.280 --> 0:43:43.200
<v Speaker 1>great question. Again, UM will provide those data too. I

0:43:43.280 --> 0:43:47.680
<v Speaker 1>call our key executives and and business business owners. My

0:43:47.760 --> 0:43:50.600
<v Speaker 1>job from a CDO standpoint is make sure those those

0:43:50.600 --> 0:43:54.799
<v Speaker 1>reports and the data is accurate and they could rely

0:43:54.920 --> 0:43:57.960
<v Speaker 1>on information. And from a from a governance perspective, is

0:43:57.920 --> 0:44:00.520
<v Speaker 1>a rare informatic its critical force that we can we

0:44:00.560 --> 0:44:04.040
<v Speaker 1>know our data is protected UM and governed effectively and

0:44:04.080 --> 0:44:06.560
<v Speaker 1>then reportings are accurate well. And one thing we talked

0:44:06.560 --> 0:44:10.000
<v Speaker 1>with a Mint about Aalia, the CEO of Informatica, that

0:44:10.280 --> 0:44:13.680
<v Speaker 1>the your position, the chief data officer. It's like how

0:44:13.680 --> 0:44:16.880
<v Speaker 1>important the CFO became after the financial crisis. How often

0:44:16.960 --> 0:44:19.759
<v Speaker 1>is it that you are drawn into strategy because if

0:44:19.840 --> 0:44:21.880
<v Speaker 1>your understanding and use of data and just got about

0:44:21.880 --> 0:44:25.200
<v Speaker 1>twenty five seconds, so being the business line. UM. Fortunate

0:44:25.280 --> 0:44:27.880
<v Speaker 1>that UM our strategy has a clear line of site

0:44:28.400 --> 0:44:32.480
<v Speaker 1>to our strategic framework and omission UM and very very

0:44:33.040 --> 0:44:35.360
<v Speaker 1>fortunate for them. Jack, thank you so much. I'm so

0:44:35.480 --> 0:44:37.480
<v Speaker 1>glad we got to look at this side of the

0:44:37.480 --> 0:44:40.919
<v Speaker 1>discussions that we're having today. Um Arvin Jaggonathan. He's VP,

0:44:41.000 --> 0:44:49.640
<v Speaker 1>Chief Data Officer over at Freddie Mack Journal. Now, but

0:44:49.760 --> 0:44:57.560
<v Speaker 1>you let me drive? No, no, no no, please, I want

0:44:57.560 --> 0:45:06.200
<v Speaker 1>to drive. It's good question. This is the Drive to

0:45:06.280 --> 0:45:13.839
<v Speaker 1>the Globe on Bloomberg Radio. All right, just about ten

0:45:13.840 --> 0:45:16.279
<v Speaker 1>minutes left in today's trading session. We're just off our

0:45:16.360 --> 0:45:18.719
<v Speaker 1>highs of the session, a big day when we got

0:45:18.719 --> 0:45:22.200
<v Speaker 1>those f O m C minutes from that latest FED meeting,

0:45:22.239 --> 0:45:23.920
<v Speaker 1>and we've got a great guest to talk about the

0:45:23.960 --> 0:45:25.920
<v Speaker 1>trends that we've been seeing. Tim, great to have back

0:45:25.960 --> 0:45:28.239
<v Speaker 1>with us and Miletti, head of active Equity at all

0:45:28.280 --> 0:45:31.600
<v Speaker 1>Spring Global Investments. All Spring Global Investments stuff is about

0:45:31.600 --> 0:45:35.200
<v Speaker 1>five one billion dollars in assets under management and joining

0:45:35.280 --> 0:45:37.279
<v Speaker 1>us once again on the phone from Milwaukee, and how

0:45:37.320 --> 0:45:41.960
<v Speaker 1>are you. I'm doing well. How are you? We're doing well.

0:45:42.000 --> 0:45:44.120
<v Speaker 1>It's good to have you with us. And it's interesting

0:45:44.120 --> 0:45:46.320
<v Speaker 1>to see the trade today, especially after we got those

0:45:46.360 --> 0:45:50.640
<v Speaker 1>FED meeting minutes. Thanks to our producers here at Bloomberg

0:45:50.640 --> 0:45:52.800
<v Speaker 1>Business Week, we know that you right that we're in

0:45:52.840 --> 0:45:55.239
<v Speaker 1>the midst of a paradigm shift which is creating a

0:45:55.239 --> 0:45:59.360
<v Speaker 1>lot of volatility and discomfort for investors. So raises the question,

0:45:59.680 --> 0:46:04.160
<v Speaker 1>what are the opportunities in this paradigm shift. Yeah, Tim,

0:46:04.200 --> 0:46:07.880
<v Speaker 1>it's a great question because it's really hard for investors

0:46:07.880 --> 0:46:12.600
<v Speaker 1>to stay focused on opportunity when there's so much dislocation

0:46:12.680 --> 0:46:15.040
<v Speaker 1>going on in the market. But that is exactly what

0:46:15.440 --> 0:46:19.160
<v Speaker 1>our investment teams are trained to do. They are investors,

0:46:19.200 --> 0:46:23.000
<v Speaker 1>not traders, and so they're focused on process and looking

0:46:23.040 --> 0:46:27.279
<v Speaker 1>for companies that can sustain this kind of change. So

0:46:27.440 --> 0:46:33.160
<v Speaker 1>really good strong fundamentals um and they're seeing it across

0:46:33.200 --> 0:46:36.880
<v Speaker 1>all different industries. It's really a time to kind of

0:46:36.960 --> 0:46:40.160
<v Speaker 1>look at those key um companies. It's it's you know,

0:46:40.320 --> 0:46:45.359
<v Speaker 1>company fundamentals are truly the key point right now. Yeah,

0:46:45.520 --> 0:46:47.040
<v Speaker 1>you know what, and you do see that, right And

0:46:47.040 --> 0:46:49.080
<v Speaker 1>we've seen it play out as earnings have been reported.

0:46:49.080 --> 0:46:51.239
<v Speaker 1>There's some companies that seem to weather it through and

0:46:51.760 --> 0:46:54.800
<v Speaker 1>investors look at the fundamentals and they'll be bidding a

0:46:54.840 --> 0:46:57.680
<v Speaker 1>stock up in a down market or dark Husser saw

0:46:57.880 --> 0:47:00.279
<v Speaker 1>Bober comes out and says, forget about adjin Eba, We're

0:47:00.320 --> 0:47:02.560
<v Speaker 1>all about free cash flow now. Yeah, Well, the mentors

0:47:02.640 --> 0:47:05.239
<v Speaker 1>keep on changing, so you know, and and I know,

0:47:05.320 --> 0:47:07.040
<v Speaker 1>I's say this to a fair amount of our market guest.

0:47:07.080 --> 0:47:09.200
<v Speaker 1>But we've seen a lot of different market cycles. This

0:47:09.239 --> 0:47:12.400
<v Speaker 1>is an unusual one, right where we are recovering from

0:47:12.480 --> 0:47:14.839
<v Speaker 1>so much liquidity that was pumped into the markets very

0:47:14.960 --> 0:47:18.440
<v Speaker 1>very quickly and provided incredible support and a lot of

0:47:18.440 --> 0:47:20.640
<v Speaker 1>money chasing a lot of assets to all of a

0:47:20.680 --> 0:47:24.359
<v Speaker 1>sudden it's kind of quickly going away. It feels like, so,

0:47:24.840 --> 0:47:28.239
<v Speaker 1>what's the advice for investors? What do you draw upon historically,

0:47:28.880 --> 0:47:32.239
<v Speaker 1>you know, or technically to kind of give them guidance. Yeah,

0:47:32.320 --> 0:47:36.480
<v Speaker 1>it's it's it's so important to look at historical perspective

0:47:36.719 --> 0:47:38.880
<v Speaker 1>and to think about it just exactly the way you

0:47:38.960 --> 0:47:43.319
<v Speaker 1>set that up, because it is a paradigm shift. We

0:47:43.480 --> 0:47:47.040
<v Speaker 1>have gone from the low inflation low right environment, and

0:47:47.080 --> 0:47:50.279
<v Speaker 1>that's changing. In the first stage of that, really you

0:47:50.360 --> 0:47:54.239
<v Speaker 1>typically see a lot of dislocation in the market, then

0:47:54.280 --> 0:47:57.080
<v Speaker 1>you see some capitulation. We're seeing a little bit of that,

0:47:57.600 --> 0:47:59.800
<v Speaker 1>maybe a little bit more to go, and then you

0:48:00.040 --> 0:48:02.919
<v Speaker 1>start to see the recovery happened. I think where we're

0:48:02.920 --> 0:48:08.600
<v Speaker 1>looking is again company by companies, but we do see opportunities.

0:48:08.880 --> 0:48:12.440
<v Speaker 1>If you look at the spreads, historical spreads, they're kind

0:48:12.440 --> 0:48:16.480
<v Speaker 1>of getting to your point um between large cap and

0:48:16.520 --> 0:48:21.320
<v Speaker 1>small cap are really blown out, and you're getting opportunities

0:48:21.480 --> 0:48:25.200
<v Speaker 1>in small cap companies I would say present themselves pretty

0:48:25.200 --> 0:48:28.440
<v Speaker 1>well right now. UM health Care is another area because

0:48:28.440 --> 0:48:31.560
<v Speaker 1>of their domestic because the domestic exposure in because the

0:48:31.640 --> 0:48:34.040
<v Speaker 1>domestic exposure with everything that's going on in the world

0:48:34.120 --> 0:48:37.319
<v Speaker 1>or what, or just because they were down. Yeah. I

0:48:37.320 --> 0:48:41.080
<v Speaker 1>mean typically in inflationary cycles you start to see a

0:48:41.080 --> 0:48:44.920
<v Speaker 1>little bit more pressure UM on smaller cap companies. But

0:48:44.960 --> 0:48:49.080
<v Speaker 1>it's the small cap companies that are not UM that

0:48:49.120 --> 0:48:52.440
<v Speaker 1>are not as set up I think for change. And

0:48:52.480 --> 0:48:56.600
<v Speaker 1>so if you look at really strong fundamental within small caps,

0:48:56.680 --> 0:49:01.000
<v Speaker 1>you see great opportunity there. But yes, UM, that's the space.

0:49:01.200 --> 0:49:04.799
<v Speaker 1>They're also in some ways isolated from a lot of

0:49:04.800 --> 0:49:07.680
<v Speaker 1>the global challenges that we have going on right now.

0:49:08.040 --> 0:49:11.839
<v Speaker 1>But you know, the size has been important. Large cap

0:49:11.920 --> 0:49:14.040
<v Speaker 1>has been where a lot of the market has flown,

0:49:14.520 --> 0:49:18.080
<v Speaker 1>and I think we are comfortable looking down cap right now.

0:49:18.160 --> 0:49:21.680
<v Speaker 1>There's a lot of opportunity out there. That being said,

0:49:22.080 --> 0:49:25.640
<v Speaker 1>there's a lot of large cap companies where you're seeing big,

0:49:25.719 --> 0:49:28.560
<v Speaker 1>big cat sell off right now too, And I think

0:49:29.000 --> 0:49:32.880
<v Speaker 1>that's exactly why rather than put a telescope on you know,

0:49:33.160 --> 0:49:35.560
<v Speaker 1>the whole market. You kind of have to take a microscope,

0:49:35.719 --> 0:49:39.560
<v Speaker 1>go about and look at you know, where do you

0:49:39.640 --> 0:49:41.520
<v Speaker 1>look right? Where do you look within small cap? But

0:49:41.560 --> 0:49:44.000
<v Speaker 1>where do you look within large caps? And within the

0:49:44.000 --> 0:49:48.200
<v Speaker 1>ex started within each sector as well, fundamental research actually

0:49:48.239 --> 0:49:50.160
<v Speaker 1>matter Where do you where do you look in those places?

0:49:50.160 --> 0:49:52.919
<v Speaker 1>What sectors are exciting to you? Yeah? Well, I think

0:49:53.080 --> 0:49:54.920
<v Speaker 1>one of those sectors that does stand out to me

0:49:55.080 --> 0:49:57.960
<v Speaker 1>is healthcare. One. It tends to be, you know, a

0:49:57.960 --> 0:50:01.759
<v Speaker 1>little bit more defensive in inflationary recycles, which you could

0:50:01.800 --> 0:50:04.680
<v Speaker 1>argue we are in the midst of and you know,

0:50:04.800 --> 0:50:10.239
<v Speaker 1>it underperforms last year substantially, it still is fairly you know,

0:50:10.680 --> 0:50:15.239
<v Speaker 1>under represented. I would say, um in terms of holdings

0:50:15.320 --> 0:50:18.839
<v Speaker 1>that many many professional investors have, So I would say

0:50:18.920 --> 0:50:23.680
<v Speaker 1>healthcare is a much active area UM. And outside of that,

0:50:24.120 --> 0:50:27.080
<v Speaker 1>I would just do the bottom up work and focus

0:50:27.080 --> 0:50:30.480
<v Speaker 1>on fundamentals. And I think that is different again in

0:50:30.520 --> 0:50:34.719
<v Speaker 1>this paradigm shift where rising and seas lifted all both,

0:50:35.160 --> 0:50:38.560
<v Speaker 1>I think the tides going down and there's going to

0:50:38.640 --> 0:50:46.200
<v Speaker 1>be more different across each company. You know, it's interesting too.

0:50:46.200 --> 0:50:49.560
<v Speaker 1>And I was thinking about when we saw Snap drop

0:50:50.320 --> 0:50:52.960
<v Speaker 1>like a rock this week and our man Deep Singh said,

0:50:53.000 --> 0:50:55.399
<v Speaker 1>you know, at some point you look at this and say,

0:50:55.400 --> 0:50:58.080
<v Speaker 1>this is a company with what over three million in

0:50:58.160 --> 0:51:00.480
<v Speaker 1>terms of subscribers, like there is value you there? And

0:51:00.520 --> 0:51:02.759
<v Speaker 1>I do wonder you know, and I know you you

0:51:02.880 --> 0:51:05.080
<v Speaker 1>focus on sectors when you come on with us, And

0:51:05.360 --> 0:51:07.359
<v Speaker 1>is there some point that you look at that big

0:51:07.360 --> 0:51:09.680
<v Speaker 1>tech and just got about thirty seconds here that you

0:51:09.760 --> 0:51:14.840
<v Speaker 1>say there are opportunities here, especially with these beaten down names. Absolutely,

0:51:15.120 --> 0:51:19.319
<v Speaker 1>um technology is changing and transforming the world and we

0:51:19.360 --> 0:51:21.440
<v Speaker 1>all know that, and companies are going to continue to

0:51:21.480 --> 0:51:25.680
<v Speaker 1>spend on technology, not just us individually. So track is

0:51:25.719 --> 0:51:29.439
<v Speaker 1>not an area I would stay away from. However, there's

0:51:29.480 --> 0:51:32.879
<v Speaker 1>a lot of dislocation between the big you know kind

0:51:32.880 --> 0:51:36.839
<v Speaker 1>of seven saying names and what their valuations have done

0:51:37.080 --> 0:51:40.319
<v Speaker 1>versus the rest of technology. So again I would just

0:51:40.400 --> 0:51:44.400
<v Speaker 1>be selective. All right. Well, always fun to check in

0:51:44.440 --> 0:51:47.319
<v Speaker 1>with you and Miletty. She's head of active equity over

0:51:47.360 --> 0:51:50.839
<v Speaker 1>at all Spring Global Investments. I've got roughly one billion

0:51:50.880 --> 0:51:53.480
<v Speaker 1>dollars in assets under management joining us on the phone

0:51:53.840 --> 0:51:58.160
<v Speaker 1>from Milwaukee. Thanks for listening to Bloomberg Business Week. Download

0:51:58.200 --> 0:52:01.480
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0:52:01.520 --> 0:52:03.200
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0:52:03.239 --> 0:52:06.160
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