WEBVTT - Ruth Porat

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<v Speaker 1>In recent years, one of the most powerful people in

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<v Speaker 1>the financial and technology worlds has been Ruth Parratt. She

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<v Speaker 1>served as chief financial officer for Morgan Stanley and then

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<v Speaker 1>the chief financial officer for Google and Alphabet. She now

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<v Speaker 1>serves as president and Chief Investment Officer for Alphabet. I

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<v Speaker 1>sat down with her recently in Davos to talk about

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<v Speaker 1>what she's going to do in her new position and

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<v Speaker 1>how she's going to invest more than one hundred billion

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<v Speaker 1>dollars that Alphabet now has. So we're very pleased to

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<v Speaker 1>have Ruth Parratt here. Ruth, as you may know, has

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<v Speaker 1>recently been promoted. She for almost the last decade has

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<v Speaker 1>been the CFO of Google and Alphabet, and now she

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<v Speaker 1>still has that title, but she's now also the president

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<v Speaker 1>and chief Investment officer for Alphabet.

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<v Speaker 2>Is that right?

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<v Speaker 3>I am, And it's great to be here with you.

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<v Speaker 1>So you have three jobs, CFO, President, you get three

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<v Speaker 1>salaries for that.

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<v Speaker 4>I think I'm doing okay, okay, So.

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<v Speaker 1>Everybody wants to talk to you here because you've got

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<v Speaker 1>a lot of money. You've got over one hundred million

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<v Speaker 1>dollars of cash to invest, so people want to see you.

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<v Speaker 1>Why do you come to Davos because people are just

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<v Speaker 1>going to be bombarding you give me money for this

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<v Speaker 1>or that. Is it really worth the effort to slept

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<v Speaker 1>all the way here or are you happy to come

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<v Speaker 1>here and you actually meet people you actually want to see?

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<v Speaker 4>Well, I've actually been coming here since I ran tech

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<v Speaker 4>banking at Morgan Stanley back in the nineties and was

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<v Speaker 4>hunting for fees, and so I think it's sort.

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<v Speaker 3>Of become one stop shopping. You make the trip and.

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<v Speaker 4>Then you get to see people from Asia and Africa,

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<v Speaker 4>Middle East, Europe, so it's just that one stop shop.

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<v Speaker 1>Well, let's talk about your background now that you mentioned it.

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<v Speaker 1>Where did you grow up?

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<v Speaker 3>I grew up. I was born in England, mostly grew.

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<v Speaker 1>Up in California, California. Your father was a professor at

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<v Speaker 1>Stanford or something like that.

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<v Speaker 3>My father actually was a Holocaust refugee.

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<v Speaker 4>So my father escaped from Vienna right after Krystal Knock

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<v Speaker 4>and made it to Palestine high school education.

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<v Speaker 3>He ended up in enrolling in the.

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<v Speaker 4>British Army, fought in the Balla Bella Laman and in

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<v Speaker 4>the army taught himself physics because he figured if he

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<v Speaker 4>survived he needed something that somebody valued after the war

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<v Speaker 4>that actually that work, that plan worked. He ended up

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<v Speaker 4>getting to England, where I was born, and then eventually

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<v Speaker 4>got to the United States, who was sponsored by Senator Kennedy.

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<v Speaker 4>So he spent his whole career at Harvard and then

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<v Speaker 4>at Stamford. So I mostly grew up in.

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<v Speaker 1>California, California, Okay, So you're in Stanford for a nice area,

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<v Speaker 1>Silicon Valley. Why would you want to go to a

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<v Speaker 1>business school at Wharton? Why did you go across the

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<v Speaker 1>country to go to business school? And why did you

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<v Speaker 1>want to go to business school to begin with? Why

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<v Speaker 1>not be a physicist like your father?

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<v Speaker 3>Well?

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<v Speaker 4>I loved Wharton, so I'm not going to give you that.

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<v Speaker 4>You know, I thought I was going to end up

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<v Speaker 4>being First of all, I I got married. My husband

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<v Speaker 4>was a lawyer on Wall Street, so I was commuting.

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<v Speaker 4>But I thought that I would go into investment. I

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<v Speaker 4>thought I'd go into consulting, and then I took this

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<v Speaker 4>amazing merger's accounting class, kind of geeky, and decided I

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<v Speaker 4>was going to go into mergers and acquisitions.

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<v Speaker 3>So ended up on the East Coast.

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<v Speaker 2>Okay.

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<v Speaker 1>So she ultimately became the CFO of Morgan Stanley. Okay,

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<v Speaker 1>and many people thought you might go in the government someday,

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<v Speaker 1>and you actually could have been the CEO of Morgan Stanley.

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<v Speaker 1>Why would you leave the important world of finance for

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<v Speaker 1>something less significant like technology?

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<v Speaker 2>Why would you do that?

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<v Speaker 4>You know, kind of right time, right place, Like when

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<v Speaker 4>I was the CFO of Morgan Stanley. I started in

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<v Speaker 4>that position January first, twenty ten, when James Gorman took

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<v Speaker 4>over as CEO, and I think he's an all star CEO,

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<v Speaker 4>absolutely amazing, great partner. And when we started, it was

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<v Speaker 4>twenty ten, so after the financial crisis, but Morgan Stanley

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<v Speaker 4>was still very challenged. You know, Moody's was going to

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<v Speaker 4>downgrade the bank at one point. It was it was

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<v Speaker 4>kind of shaky.

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<v Speaker 3>And I think that he and.

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<v Speaker 4>We, together the team, led this extraordinary kind of recovery

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<v Speaker 4>and it got to the point in twenty fifteen where

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<v Speaker 4>I was ready for the next chapter, and then I

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<v Speaker 4>got this call.

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<v Speaker 3>Right of Google. It seemed okay, so all right, wade that.

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<v Speaker 1>Move before we get the good Well, you were at

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<v Speaker 1>Morgan's Stanley when the great meltdown, the Great Financial Crisis

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<v Speaker 1>of seven o eight occurred, and it is said that

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<v Speaker 1>people thought that Morgan Stanley and Goldman Sachs and everybody

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<v Speaker 1>else was going to go under. Were you living through

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<v Speaker 1>that and did you actually think Morgan Stanley was going

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<v Speaker 1>to make it at that time?

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<v Speaker 3>There were days I did not. It was bad.

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<v Speaker 4>So I was running financial institutions banking at the time,

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<v Speaker 4>and probably the most meaningful part of my career was

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<v Speaker 4>when Hank Paulson called and said, I need advice. I

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<v Speaker 4>need some bankers here, and so I went and led

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<v Speaker 4>a team that worked on Fanny Freddy and then AIG

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<v Speaker 4>and those were very, very challenging days.

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<v Speaker 3>And coming out of it at the we.

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<v Speaker 4>Did Fanny Freddy and then we did AIG, put them

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<v Speaker 4>into conservatorship, and I had some Morgan Stanley. John mackwa

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<v Speaker 4>CEO at the time, and he said, okay, you're in

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<v Speaker 4>charge of liquidity, figure out liquidity. And of course days

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<v Speaker 4>before what very much was running out of liquidity, there

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<v Speaker 4>was no way to get liquidity. In fact, one day

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<v Speaker 4>we were trying to figure out what to do when

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<v Speaker 4>I was on the trading floor and I'm like, can

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<v Speaker 4>we maybe sell the chairs?

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<v Speaker 3>There were Herman Miller chairs.

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<v Speaker 4>I thought that might be a solution that was supposed

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<v Speaker 4>to be funny, but it was actually.

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<v Speaker 3>Really scary at the time, and so no, it was hard.

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<v Speaker 4>But we did this whole series of different teams and

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<v Speaker 4>it worked. You know, MUFG came in, they were an

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<v Speaker 4>incredible partner. The government came in, we became a Fed

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<v Speaker 4>regulated bank. But there were some very scary times and

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<v Speaker 4>a lot of important lessons.

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<v Speaker 2>Okay, so you got that deal done.

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<v Speaker 1>Then presumably some headhunter called you up and said you

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<v Speaker 1>should be the CFO of Google And did you how

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<v Speaker 1>did you tell John Mack or James Gorman you were

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<v Speaker 1>going to leave to be the CFO of a tech company?

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<v Speaker 2>Was that easy to do?

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<v Speaker 4>So twenty fifteen, Morgan Stanley was in a really good spot.

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<v Speaker 4>I happened to be with Bill Campbell, an and iconic

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<v Speaker 4>leader in Silicon Valley. He's been written about as the

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<v Speaker 4>trillion dollar coach. He coached Steve Jobs, Larry Sergei, Sundar Eric.

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<v Speaker 3>So it's a privileged with them.

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<v Speaker 4>And at the time I said, you know, I'm ready

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<v Speaker 4>for the next chapter, but the one thing I'm not

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<v Speaker 4>going to do is be CFO again. We spent two

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<v Speaker 4>hours in his living room and at the end, he said, okay,

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<v Speaker 4>I heard you clearly not CFO, And I said exactly,

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<v Speaker 4>and he said, okay.

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<v Speaker 3>So the best I've got the best idea for CFO of.

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<v Speaker 4>Google, And of course I immediately said, well, I hadn't

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<v Speaker 4>thought of that one.

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<v Speaker 3>That one is interesting.

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<v Speaker 1>But did you tell him this would mean you wouldn't

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<v Speaker 1>be able to work with private equity people as closely

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<v Speaker 1>as you had been.

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<v Speaker 3>You know, somewhat. Times hardship in life is worthwhile.

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<v Speaker 1>So what's it like moving from the East Coast, where

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<v Speaker 1>everything is finance and money, to the West Coast, where

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<v Speaker 1>everything is technology.

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<v Speaker 2>Did you fit in right away?

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<v Speaker 1>And did you really know how to use all the

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<v Speaker 1>computer things that they give you to use?

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<v Speaker 3>So it was it was It was pretty fun.

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<v Speaker 4>There were plenty of times where I would sit around

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<v Speaker 4>in meetings and literally I would be googling terms, And

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<v Speaker 4>at one meeting, Larry Page actually caught me googling terms

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<v Speaker 4>and he kind of pointed that out to other people

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<v Speaker 4>in the room, which was a little embarrassing. But I

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<v Speaker 4>figured there were some things that I could do that

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<v Speaker 4>they can do, and so it was a learning curve

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<v Speaker 4>and my dad always he taught me at a young age,

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<v Speaker 4>a term that I've used constantly with my teams. He

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<v Speaker 4>said in his lab at Stanford, if a physicist could

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<v Speaker 4>not define a quark in under thirty seconds, they didn't

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<v Speaker 4>know what they were talking about, And so I used

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<v Speaker 4>the quark test all the time. If somebody's rambling on

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<v Speaker 4>and on and they can't get to the point, they

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<v Speaker 4>probably don't know what they're talking about. They failed the

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<v Speaker 4>quart test. My finance team knows this core test, and

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<v Speaker 4>at Google I'm working with amazing computer scientists, so they

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<v Speaker 4>never fail the cork test. They can explain things really clearly,

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<v Speaker 4>which shoots you up the learning curve.

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<v Speaker 1>But did you understand what they were talking about from

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<v Speaker 1>the beginning, or did you have a special tutor that's

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<v Speaker 1>taking technology for deedails I had.

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<v Speaker 4>Actually run tech Banking into Google Public, so I had

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<v Speaker 4>a little sneak preview.

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<v Speaker 1>So today for people who are not experts on Google

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<v Speaker 1>and Google Search, Larry Page really developed the page system

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<v Speaker 1>I guess was called, and it was unique. But when

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<v Speaker 1>he came to get the initial money in Silicon Valley,

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<v Speaker 1>people said, well, there's plenty of search engines out here.

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<v Speaker 1>They're like twelve or thirteen search engine companies, and so

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<v Speaker 1>people didn't think it was anything so unique.

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<v Speaker 2>What turned out to be.

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<v Speaker 1>So unique about the page system that it made Google

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<v Speaker 1>such a powerful company.

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<v Speaker 4>I actually remember those days because I was one of

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<v Speaker 4>the people who said, why do we need It was

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<v Speaker 4>actually the eighth search engine? Why do you need the

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<v Speaker 4>eight search engine? And I was at Morgan Stanley at

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<v Speaker 4>the time nineteen ninety eight running banking, and our research analyst,

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<v Speaker 4>Mary Meeker and iconic analyst, pulled her team together and said,

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<v Speaker 4>you know what, Let's do a test. Let's look at

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<v Speaker 4>all the search engines. Let's do queries and see speed

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<v Speaker 4>and relevance of response. And I think she may have

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<v Speaker 4>started with that eight search engine question as well, but

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<v Speaker 4>it quickly rose to the top.

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<v Speaker 3>And that has been the ethos all along.

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<v Speaker 4>We still to this day have more than one hundred

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<v Speaker 4>product innovations every quarter. The whole idea is continue challenging

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<v Speaker 4>ourselves about how to make the product better, more relevant, faster.

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<v Speaker 4>And what's extraordinary sitting where we are today is how

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<v Speaker 4>searches evolve. So back then it was ten blue links.

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<v Speaker 4>Whoever's old enough in this room to remember ten blue links,

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<v Speaker 4>That's what it was.

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<v Speaker 3>And then it went to.

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<v Speaker 4>Image search, voice search, and now multimodal search. If I

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<v Speaker 4>want your tie, I can take a picture of your tie,

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<v Speaker 4>and then I can just I can lens it, and

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<v Speaker 4>I can find a place to buy your tie. So

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<v Speaker 4>this whole evolution of search just keeps extending the runway

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<v Speaker 4>for a search.

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<v Speaker 3>So it's very different obviously today than it was.

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<v Speaker 1>I suppose I do a Google search on something. Maybe

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<v Speaker 1>I shouldn't be doing a Google search on or.

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<v Speaker 3>Something not that you ever do.

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<v Speaker 1>I wouldn't do that, but I just theoretically can somebody

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<v Speaker 1>from Google, an officer like you look up what I've searched.

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<v Speaker 4>No, you cannot, absolutely, yeah, protected right or protected.

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<v Speaker 2>Even if the government comes along.

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<v Speaker 4>We do not look at what you search. Can go

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<v Speaker 4>into incognitumo, but we do not look at what you search.

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<v Speaker 2>Okay.

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<v Speaker 1>So the company a long time was spelled was called Google,

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<v Speaker 1>and Google used to be spelled differently. Why did they

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<v Speaker 1>spell Google that way as opposed their way it was

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<v Speaker 1>originally spelled, which was e L. Did they not know

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<v Speaker 1>that was spelled differently?

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<v Speaker 3>Well, there are a couple of stories around this.

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<v Speaker 4>So one of the stories that I think is true

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<v Speaker 4>and fun is that one of the early venture checks

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<v Speaker 4>actually wrote it that way, so they went with it.

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<v Speaker 1>Okay, so why did Google is the brand name that's

0:10:26.040 --> 0:10:28.000
<v Speaker 1>working very well, companies making a lot of money and

0:10:28.040 --> 0:10:30.720
<v Speaker 1>so forth, But why did you need to go to alphabet?

0:10:30.760 --> 0:10:31.960
<v Speaker 2>And who came up with that name?

0:10:32.960 --> 0:10:37.120
<v Speaker 4>So Larry and Sergei had a vision about kind of

0:10:37.160 --> 0:10:41.160
<v Speaker 4>the next iteration, and there were a lot of different

0:10:41.240 --> 0:10:44.600
<v Speaker 4>things that they were investing in, the whole spirit of

0:10:44.640 --> 0:10:47.080
<v Speaker 4>which is you want to make sure you're investing for

0:10:47.120 --> 0:10:50.480
<v Speaker 4>long term, investing for the future. And in the earliest days,

0:10:50.840 --> 0:10:53.200
<v Speaker 4>what they did is they created something called X. It

0:10:53.240 --> 0:10:56.080
<v Speaker 4>was the moonshot factory within Google Google X, and it

0:10:56.120 --> 0:10:58.319
<v Speaker 4>gave birth to things like Gmail, I mean made it

0:10:58.800 --> 0:11:01.439
<v Speaker 4>was really relevant for all of the type of innovation

0:11:01.480 --> 0:11:04.839
<v Speaker 4>that came out of Google. And by twenty fifteen, their

0:11:04.960 --> 0:11:08.680
<v Speaker 4>view was, we want to be able to avoid distraction

0:11:08.800 --> 0:11:10.520
<v Speaker 4>on Google. Let Google do what it's going to do

0:11:10.679 --> 0:11:14.440
<v Speaker 4>and create another set of businesses that the founders could

0:11:14.440 --> 0:11:17.520
<v Speaker 4>focus on and really nurture growth outside of it. And

0:11:17.559 --> 0:11:19.480
<v Speaker 4>so the word is you would know better than anyone

0:11:19.559 --> 0:11:22.280
<v Speaker 4>is alphabets, and so you put the two together, and

0:11:22.360 --> 0:11:23.040
<v Speaker 4>that was the goal.

0:11:23.520 --> 0:11:24.200
<v Speaker 2>So it used to be.

0:11:24.240 --> 0:11:26.600
<v Speaker 1>When Google was started, you had what was called twenty

0:11:26.679 --> 0:11:29.480
<v Speaker 1>percent time, So for twenty percent of your time, you

0:11:29.480 --> 0:11:29.880
<v Speaker 1>could do.

0:11:29.840 --> 0:11:30.600
<v Speaker 2>Whatever you wanted.

0:11:31.040 --> 0:11:33.040
<v Speaker 1>Theoretically it might be helpful at a company, but it

0:11:33.080 --> 0:11:35.920
<v Speaker 1>wasn't supposed to be necessarily, so you still have twenty

0:11:36.000 --> 0:11:37.440
<v Speaker 1>percent time or they go away.

0:11:37.840 --> 0:11:40.520
<v Speaker 4>Well, it was actually a little more structured than that.

0:11:40.640 --> 0:11:43.120
<v Speaker 4>The goal was if you had some great engineering idea

0:11:43.120 --> 0:11:44.720
<v Speaker 4>and you wanted to launch a new product, you could

0:11:44.720 --> 0:11:45.680
<v Speaker 4>do it in one of two ways.

0:11:45.920 --> 0:11:48.800
<v Speaker 3>You could leave or you could be told.

0:11:48.640 --> 0:11:50.720
<v Speaker 4>You know what, in twenty percent of your time, why

0:11:50.720 --> 0:11:53.080
<v Speaker 4>don't you go experiment with this and see if.

0:11:53.000 --> 0:11:53.600
<v Speaker 3>You can grow it.

0:11:54.040 --> 0:11:58.440
<v Speaker 4>So rather than having great ideas constantly leaving, the view

0:11:58.440 --> 0:12:01.640
<v Speaker 4>as let's nurture the talent, let's give people these growth opportunities,

0:12:01.720 --> 0:12:03.920
<v Speaker 4>let's give it a go. And so that's what the

0:12:03.960 --> 0:12:04.960
<v Speaker 4>twenty percent time was.

0:12:05.160 --> 0:12:08.319
<v Speaker 1>Any twenty percent time product ever get to the market.

0:12:08.880 --> 0:12:12.439
<v Speaker 4>Well, a Gmail is not an inconsequential billions of users.

0:12:12.800 --> 0:12:16.120
<v Speaker 4>Google Brain came out of that. It's our core part

0:12:16.160 --> 0:12:19.440
<v Speaker 4>of our AI business, and then we've continued to evolve it,

0:12:19.520 --> 0:12:21.800
<v Speaker 4>so it moved over to become ax.

0:12:21.840 --> 0:12:22.680
<v Speaker 3>Weymo came out of it.

0:12:22.720 --> 0:12:24.280
<v Speaker 4>So there's quite quite a bit and quite a bit

0:12:24.320 --> 0:12:26.000
<v Speaker 4>of features and applications.

0:12:26.120 --> 0:12:28.559
<v Speaker 2>Think of waymo. Are we going to have driverless cars

0:12:28.559 --> 0:12:29.400
<v Speaker 2>in our lifetime?

0:12:29.800 --> 0:12:32.559
<v Speaker 4>Well, I welcome everybody to come to San Francisco because

0:12:32.559 --> 0:12:35.280
<v Speaker 4>you can actually hail a way Moo in San Francisco,

0:12:35.360 --> 0:12:36.640
<v Speaker 4>hop in it and get where you want to go.

0:12:36.679 --> 0:12:37.640
<v Speaker 3>And it's pretty remarkable.

0:12:37.800 --> 0:12:38.480
<v Speaker 2>Have you done that?

0:12:38.559 --> 0:12:40.640
<v Speaker 3>Absolutely brilliant safe.

0:12:41.040 --> 0:12:43.680
<v Speaker 4>It's so safe that the most fascinating part is within

0:12:43.720 --> 0:12:46.760
<v Speaker 4>about fifteen seconds people are bored because it's so safe there,

0:12:46.760 --> 0:12:47.160
<v Speaker 4>like they.

0:12:47.040 --> 0:12:48.520
<v Speaker 2>Realize, you know, we don't need a helmet or in

0:12:48.559 --> 0:12:49.240
<v Speaker 2>the nuget's safe?

0:12:49.320 --> 0:12:49.440
<v Speaker 4>Right?

0:12:49.480 --> 0:12:52.120
<v Speaker 3>Do you need a helmet with many drivers on the road.

0:12:52.240 --> 0:12:54.400
<v Speaker 1>So for a young woman that's watching this or a

0:12:54.400 --> 0:12:57.440
<v Speaker 1>young man, and what are the recommendations you'd have to

0:12:57.480 --> 0:13:00.320
<v Speaker 1>get ahead? And the finance world technology we're is it

0:13:00.360 --> 0:13:02.760
<v Speaker 1>be smarter than other people, be nicer than the other people,

0:13:03.000 --> 0:13:05.000
<v Speaker 1>be harder working.

0:13:05.000 --> 0:13:07.360
<v Speaker 2>What is it that takes to be successful?

0:13:07.800 --> 0:13:10.680
<v Speaker 4>Well, there's no substitute for hard work, because the hard

0:13:10.720 --> 0:13:13.439
<v Speaker 4>work actually gets you smarter enough the learning curve faster.

0:13:13.600 --> 0:13:16.160
<v Speaker 4>So most certainly that's one of them. I think the

0:13:16.200 --> 0:13:19.520
<v Speaker 4>other I've already said chart your career work for somebody

0:13:19.559 --> 0:13:21.199
<v Speaker 4>who's going to take a risk on you and give

0:13:21.240 --> 0:13:24.120
<v Speaker 4>you runway. But very importantly, we need to do that

0:13:24.200 --> 0:13:26.040
<v Speaker 4>for someone. So at one point, when I was asked

0:13:26.080 --> 0:13:29.800
<v Speaker 4>to run technology equity capital markets on the equity trading floor,

0:13:30.360 --> 0:13:33.680
<v Speaker 4>a senior partner called me into his office and he said,

0:13:33.679 --> 0:13:35.520
<v Speaker 4>I will be your I will be your air cover.

0:13:36.040 --> 0:13:37.520
<v Speaker 4>All the guys that were going to sell you use

0:13:37.559 --> 0:13:39.680
<v Speaker 4>these military terms. There a lot of military guys, but

0:13:39.760 --> 0:13:42.000
<v Speaker 4>it was a good one. I will be your air cover.

0:13:42.400 --> 0:13:44.320
<v Speaker 4>I think you will soar, but if you stumble, I'm

0:13:44.360 --> 0:13:47.320
<v Speaker 4>here to be your air cover. I think everyone needs

0:13:47.360 --> 0:13:49.240
<v Speaker 4>air cover, and I think we all need to.

0:13:49.200 --> 0:13:49.960
<v Speaker 3>Be air cover.

0:13:50.559 --> 0:13:53.600
<v Speaker 4>And the other is keep learning and keep growing. And

0:13:53.640 --> 0:13:56.120
<v Speaker 4>when you're plateauing, my line was what's my highest and

0:13:56.160 --> 0:14:00.000
<v Speaker 4>best use and don't do it on a specific timeline,

0:14:00.360 --> 0:14:03.080
<v Speaker 4>but keep evolving and if you go to the right people,

0:14:03.080 --> 0:14:05.160
<v Speaker 4>they'll keep opening doors and take those doors.

0:14:05.160 --> 0:14:06.280
<v Speaker 3>And then finally, use your voice.

0:14:06.440 --> 0:14:08.440
<v Speaker 1>You have a challenge that many people would like to

0:14:08.480 --> 0:14:10.400
<v Speaker 1>have but they don't have, which is you've got over

0:14:10.440 --> 0:14:14.320
<v Speaker 1>one hundred billion dollars of cash, and so are you

0:14:14.360 --> 0:14:17.000
<v Speaker 1>going to invest that in private equity firms, or are

0:14:17.040 --> 0:14:20.160
<v Speaker 1>you going to do new technology? What are you going

0:14:20.200 --> 0:14:21.880
<v Speaker 1>to do with one hundred billion dollars more than one

0:14:21.920 --> 0:14:25.280
<v Speaker 1>hundred billion dollars of cash? And you know, have you

0:14:25.320 --> 0:14:26.960
<v Speaker 1>thought about that? You have people coming up to you

0:14:27.040 --> 0:14:30.080
<v Speaker 1>all the time with great ideas for that cash.

0:14:30.120 --> 0:14:32.920
<v Speaker 4>We do as you would imagine. So, look, we're continuing

0:14:32.920 --> 0:14:35.040
<v Speaker 4>to invest in the business. There's a lot of extraordinary

0:14:35.160 --> 0:14:38.320
<v Speaker 4>upside in the business. And then we do make investments

0:14:38.360 --> 0:14:41.240
<v Speaker 4>and acquisitions, so do all of our peers. There's a

0:14:41.240 --> 0:14:43.360
<v Speaker 4>lot that's exciting going on in the world, and so

0:14:43.400 --> 0:14:46.400
<v Speaker 4>we're looking across the board. Starts within the business, then

0:14:46.400 --> 0:14:49.800
<v Speaker 4>it goes to investments and acquisitions, then obviously return to

0:14:49.840 --> 0:14:52.960
<v Speaker 4>capital through a not in consequential share repurchase program.

0:14:53.120 --> 0:14:54.840
<v Speaker 2>Let's talk about artificial intelligence.

0:14:55.360 --> 0:14:57.800
<v Speaker 1>Artificial intelligence has gotten a lot of publicity in the

0:14:57.880 --> 0:15:02.280
<v Speaker 1>last year or so, and open ai has got an

0:15:02.400 --> 0:15:05.520
<v Speaker 1>enormous amount of it, and they have an affiliation with

0:15:05.560 --> 0:15:06.720
<v Speaker 1>another technology company.

0:15:06.760 --> 0:15:08.760
<v Speaker 2>I can't remember the name of it. I've heard that

0:15:08.880 --> 0:15:09.440
<v Speaker 2>another one.

0:15:09.600 --> 0:15:12.400
<v Speaker 1>But do you have your own kind of open ai

0:15:12.840 --> 0:15:14.960
<v Speaker 1>company or do you do it all internally? And what

0:15:15.000 --> 0:15:17.200
<v Speaker 1>do you do to compete with open ai? And this

0:15:17.280 --> 0:15:18.480
<v Speaker 1>other technology company.

0:15:19.320 --> 0:15:24.000
<v Speaker 4>So we've had We've been infusing product at Google with

0:15:24.120 --> 0:15:28.080
<v Speaker 4>AI for more than a decade. In fact, billions of

0:15:28.120 --> 0:15:32.400
<v Speaker 4>people today are benefiting from AI across our products. It's

0:15:32.440 --> 0:15:35.880
<v Speaker 4>benefiting what you see in search, in maps, and commerce

0:15:36.040 --> 0:15:40.600
<v Speaker 4>and YouTube. You know, I just mentioned multimodal search, the

0:15:40.640 --> 0:15:43.840
<v Speaker 4>ability to search with your camera, when you search for

0:15:43.960 --> 0:15:48.360
<v Speaker 4>your kids and photos, that's AI. So AI has continued

0:15:48.400 --> 0:15:51.360
<v Speaker 4>to be a way to enhance what the product experiences.

0:15:51.440 --> 0:15:54.200
<v Speaker 4>And we've done that historically through two groups within Google.

0:15:54.200 --> 0:15:56.880
<v Speaker 4>One Google Brain I already mentioned, and the other is

0:15:56.920 --> 0:16:01.640
<v Speaker 4>deep Mind, an extraordinary acquisition back years ago led by

0:16:01.840 --> 0:16:04.880
<v Speaker 4>an extraordinary entrepreneur, Demesistatus, And we've put the two together

0:16:05.440 --> 0:16:09.800
<v Speaker 4>last year, which has been really exciting. And so we

0:16:09.840 --> 0:16:13.880
<v Speaker 4>are building on that foundation that has been an experience

0:16:13.920 --> 0:16:15.080
<v Speaker 4>for the last decade.

0:16:15.240 --> 0:16:18.640
<v Speaker 1>What's the excitement of work in technology in the Silicon Valley?

0:16:18.920 --> 0:16:21.240
<v Speaker 1>Is it even more exciting than working in finance? Or

0:16:21.280 --> 0:16:22.200
<v Speaker 1>not quite as exciting?

0:16:22.200 --> 0:16:25.600
<v Speaker 3>But okay, it's hard to believe it's more exciting, ed.

0:16:26.200 --> 0:16:29.680
<v Speaker 4>I mean, we're living in the most extraordinary time with AI.

0:16:29.760 --> 0:16:33.280
<v Speaker 4>Bill Gates just said that I completely agree. Engineers who've

0:16:33.280 --> 0:16:35.760
<v Speaker 4>been at Google since inception are saying that this is

0:16:35.800 --> 0:16:38.600
<v Speaker 4>the most exciting time in computer science in our lifetime,

0:16:39.000 --> 0:16:42.160
<v Speaker 4>which always strikes me as profound because Google's done okay,

0:16:42.800 --> 0:16:47.520
<v Speaker 4>And what's extraordinary about it really goes to building on

0:16:47.600 --> 0:16:52.600
<v Speaker 4>this decade of innovative work in AI. And so where

0:16:52.600 --> 0:16:53.280
<v Speaker 4>are we now.

0:16:53.440 --> 0:16:56.080
<v Speaker 3>We're at the What we're doing.

0:16:56.200 --> 0:16:59.960
<v Speaker 4>Is we're addressing some of the most profound social challenge

0:17:00.160 --> 0:17:03.720
<v Speaker 4>is with AI in ways that are transformative. So to

0:17:03.720 --> 0:17:06.760
<v Speaker 4>give you an a couple of examples, I think that

0:17:06.800 --> 0:17:08.800
<v Speaker 4>one of the extraordinary places for all of us, and

0:17:08.840 --> 0:17:09.880
<v Speaker 4>we've heard a lot about it.

0:17:09.800 --> 0:17:13.720
<v Speaker 3>Here over lunch, is healthcare. And part of the reason is.

0:17:13.760 --> 0:17:18.240
<v Speaker 4>It's the ability with AI to aggregate so much data

0:17:18.240 --> 0:17:21.919
<v Speaker 4>that you can actually have a level of diagnosis that

0:17:22.000 --> 0:17:25.359
<v Speaker 4>is better than what specialists can do. So one example

0:17:25.640 --> 0:17:29.359
<v Speaker 4>breast cancer. Back in twenty fifteen, Google had a breakthrough

0:17:29.800 --> 0:17:33.639
<v Speaker 4>in detection early detection of metastatic breast cancer. One in

0:17:33.760 --> 0:17:37.040
<v Speaker 4>seven women will be diagnosed with breast cancer. I was

0:17:37.080 --> 0:17:39.920
<v Speaker 4>one of those. I've had breast cancer twice, so when

0:17:39.960 --> 0:17:42.560
<v Speaker 4>I heard about this, I did the only rational thing.

0:17:42.600 --> 0:17:45.240
<v Speaker 4>I called my oncologist at Memorial Slung Kettering, and I

0:17:45.280 --> 0:17:48.959
<v Speaker 4>said is this really as important as I hope? And

0:17:49.000 --> 0:17:53.919
<v Speaker 4>he said unequivocally, because only with AI can we democratize healthcare.

0:17:54.400 --> 0:17:59.240
<v Speaker 4>It's the only way that oncologists everywhere, radiologists everywhere, all

0:17:59.280 --> 0:18:02.080
<v Speaker 4>of the medical profession has the ability to leverage the

0:18:02.200 --> 0:18:06.119
<v Speaker 4>insight that AI will give you through scans, reviewing a

0:18:06.160 --> 0:18:09.439
<v Speaker 4>million scans. We're doing the same in other forms of cancer.

0:18:09.480 --> 0:18:13.600
<v Speaker 4>We're doing it with something called diabetic retinopathy blindness cause

0:18:14.520 --> 0:18:18.760
<v Speaker 4>through diabetes, which can be prevented if diagnosed early enough.

0:18:19.320 --> 0:18:21.240
<v Speaker 4>And so I think that when you look at the

0:18:21.280 --> 0:18:24.640
<v Speaker 4>impact of a this is what motivates our engineers. We're

0:18:24.640 --> 0:18:27.720
<v Speaker 4>seeing in healthcare, we're seeing in education, We're seeing it.

0:18:27.720 --> 0:18:28.639
<v Speaker 3>With food scarcity.

0:18:28.760 --> 0:18:33.119
<v Speaker 4>You can improve crop yields by looking at pest issues,

0:18:33.680 --> 0:18:38.200
<v Speaker 4>in forming. We're looking at so many different ways that

0:18:38.560 --> 0:18:40.919
<v Speaker 4>AI can make a difference on the most profound issues.

0:18:40.920 --> 0:18:42.960
<v Speaker 4>One last one, because it's you asked, am I excited

0:18:42.960 --> 0:18:46.960
<v Speaker 4>about it? Yes, It's better than even finance, climate change,

0:18:47.119 --> 0:18:51.640
<v Speaker 4>you know, SOS crisis alerts extraordinary. We've seen the impact

0:18:51.680 --> 0:18:54.000
<v Speaker 4>of buyers and flooding, two hundred and fifty million people

0:18:54.040 --> 0:18:57.840
<v Speaker 4>a year affected by flooding. But with AI, we can

0:18:57.920 --> 0:19:02.320
<v Speaker 4>predict and r with seven days. Notice where the waterflows

0:19:02.320 --> 0:19:03.960
<v Speaker 4>will be to get people out of harm's way. So

0:19:04.000 --> 0:19:06.840
<v Speaker 4>this is not science fiction. This is here today.

0:19:06.800 --> 0:19:09.280
<v Speaker 2>On climate change to be realistic about it.

0:19:09.320 --> 0:19:11.400
<v Speaker 1>These are things that you think that AI can really

0:19:11.440 --> 0:19:15.080
<v Speaker 1>make us make more readily, make us able to solve

0:19:15.119 --> 0:19:17.520
<v Speaker 1>climate change. Is at your point you think we can.

0:19:17.560 --> 0:19:20.360
<v Speaker 3>Well, there's both adaptation and mitigation.

0:19:21.000 --> 0:19:23.920
<v Speaker 4>So around climate change we have a whole other set

0:19:24.040 --> 0:19:28.280
<v Speaker 4>of efforts going on. So, for example, one of the

0:19:28.320 --> 0:19:32.000
<v Speaker 4>major sources of emissions is what you see right out

0:19:32.000 --> 0:19:34.760
<v Speaker 4>the window here start stop from cars. We have something

0:19:34.800 --> 0:19:37.440
<v Speaker 4>called Project green Light which streamlines that so you don't

0:19:37.560 --> 0:19:40.720
<v Speaker 4>have the start stops. We have something else that looks

0:19:40.760 --> 0:19:45.479
<v Speaker 4>at planes. Major source of carbon footprint are contrails, what

0:19:45.880 --> 0:19:47.920
<v Speaker 4>many of us think are the beautiful white plumes off

0:19:47.920 --> 0:19:51.160
<v Speaker 4>the back. You can adjust flight patterns and reduce carbon footprint.

0:19:51.240 --> 0:19:54.399
<v Speaker 4>So the short answer is yes, and it's happening today.

0:19:54.520 --> 0:19:56.280
<v Speaker 4>It's not a hope for science fiction.

0:19:56.560 --> 0:19:59.080
<v Speaker 1>You've been public about your breast cancer. You've talked about it,

0:19:59.119 --> 0:20:01.359
<v Speaker 1>written about it, and so worth why did you go

0:20:01.440 --> 0:20:04.000
<v Speaker 1>public about it? Many women say they don't want it

0:20:04.040 --> 0:20:06.160
<v Speaker 1>to be known that they might have breast cancer. Maybe

0:20:06.160 --> 0:20:08.200
<v Speaker 1>that's right or wrong, But why were you so willing

0:20:08.200 --> 0:20:09.840
<v Speaker 1>to be public about it?

0:20:09.840 --> 0:20:11.600
<v Speaker 4>It is a really personal thing. And when I was

0:20:11.600 --> 0:20:14.000
<v Speaker 4>first diagnosed, I didn't want to talk about it. I

0:20:14.040 --> 0:20:16.719
<v Speaker 4>was at a bank one a few women. You know,

0:20:16.880 --> 0:20:19.879
<v Speaker 4>I was bald, and it's like, it's not what you want.

0:20:19.760 --> 0:20:20.480
<v Speaker 3>To talk about.

0:20:20.760 --> 0:20:22.800
<v Speaker 4>But I got to the point where I realized, in

0:20:22.840 --> 0:20:24.840
<v Speaker 4>this day and age, if you get the right care,

0:20:25.880 --> 0:20:28.919
<v Speaker 4>actually these diseases are manageable, and the scariest part is

0:20:28.960 --> 0:20:33.119
<v Speaker 4>not knowing. And so to me, it was important to

0:20:33.240 --> 0:20:36.800
<v Speaker 4>actually make it clear this is manageable, you can.

0:20:36.720 --> 0:20:39.639
<v Speaker 3>Get through it, and to actually be a resource for people.

0:20:40.040 --> 0:20:43.240
<v Speaker 1>So for many women, you're a role model. You have

0:20:43.320 --> 0:20:46.520
<v Speaker 1>a successful career in finance and technology. You were on

0:20:46.560 --> 0:20:48.000
<v Speaker 1>your first husband.

0:20:48.280 --> 0:20:52.000
<v Speaker 2>Right yeah, yeah, and hanging on hanging on right. So

0:20:52.119 --> 0:20:55.679
<v Speaker 2>and you have three kids, and so you've done it all.

0:20:55.720 --> 0:20:58.680
<v Speaker 1>You've had it all your you know, have a successful career,

0:20:58.760 --> 0:21:03.360
<v Speaker 1>successful marriage, healthy, happy kids. Can you tell us something

0:21:03.400 --> 0:21:05.800
<v Speaker 1>that doesn't make us so feel jealous about you? Because

0:21:05.800 --> 0:21:09.160
<v Speaker 1>you're I mean here, you know everybody can't be as

0:21:09.160 --> 0:21:11.720
<v Speaker 1>good as you, So make us feel that everything isn't

0:21:11.720 --> 0:21:13.879
<v Speaker 1>perfect for you? Leaving aside the breast cancer, so that

0:21:14.080 --> 0:21:16.320
<v Speaker 1>everybody else doesn't feel like they're not going to be

0:21:16.359 --> 0:21:18.200
<v Speaker 1>able to live up to your standards.

0:21:18.680 --> 0:21:22.720
<v Speaker 3>Oh man, other than other Thandians. Look, I think that.

0:21:23.280 --> 0:21:27.479
<v Speaker 4>One of the most important lessons I learned early in

0:21:27.520 --> 0:21:30.680
<v Speaker 4>my career. You know, as a woman in banking, there

0:21:30.720 --> 0:21:35.160
<v Speaker 4>weren't many of us. It wasn't the easiest environment. There

0:21:35.160 --> 0:21:40.560
<v Speaker 4>were a lot of men I've now gently decided to

0:21:40.600 --> 0:21:44.240
<v Speaker 4>call blockheads, but you know, they were worse than blockheads,

0:21:44.920 --> 0:21:48.879
<v Speaker 4>and they made it difficult, and you learned to be resilient.

0:21:49.200 --> 0:21:51.800
<v Speaker 4>The one thing is I was going to outlast them,

0:21:52.200 --> 0:21:54.280
<v Speaker 4>and that would be the joy that came from it.

0:21:54.640 --> 0:21:56.159
<v Speaker 3>Unfortunately, there are obviously a lot.

0:21:56.000 --> 0:21:59.960
<v Speaker 4>Of extraordinary men at Morgan Stanley. There weren't enough senior

0:22:00.040 --> 0:22:02.239
<v Speaker 4>women in the day, and there are more now. And

0:22:02.280 --> 0:22:05.399
<v Speaker 4>so I learned to chart my career. I went to

0:22:05.440 --> 0:22:07.440
<v Speaker 4>people who would take a risk on me, and I said,

0:22:07.440 --> 0:22:09.960
<v Speaker 4>what's my highest and best use? And they opened doors

0:22:10.440 --> 0:22:13.159
<v Speaker 4>that I didn't know existed. And to me, that's the

0:22:13.200 --> 0:22:16.720
<v Speaker 4>most important is those hard day's bad lessons. I just

0:22:16.840 --> 0:22:19.120
<v Speaker 4>chalk them up to being lessons, so I don't actually

0:22:19.640 --> 0:22:20.480
<v Speaker 4>record them.

0:22:20.520 --> 0:22:23.320
<v Speaker 1>So what do you do when you're not working on technology,

0:22:24.240 --> 0:22:28.320
<v Speaker 1>being a wife, being a mother, You have a tennis player,

0:22:28.359 --> 0:22:30.639
<v Speaker 1>or you're a golfer. What do you do for relaxation

0:22:30.720 --> 0:22:33.960
<v Speaker 1>the content you have time for relaxation, Well, I.

0:22:33.960 --> 0:22:36.560
<v Speaker 4>Kind of merge things because there's nothing more joyful to

0:22:36.560 --> 0:22:38.640
<v Speaker 4>me than going on hikes with my kids or bike

0:22:38.720 --> 0:22:42.560
<v Speaker 4>rides with my kids, and so it's you.

0:22:42.480 --> 0:22:43.320
<v Speaker 3>Know, it's a lot of that.

0:22:43.480 --> 0:22:44.720
<v Speaker 2>Are your parents alive now?

0:22:45.119 --> 0:22:45.520
<v Speaker 3>They are not?

0:22:46.160 --> 0:22:49.280
<v Speaker 1>And did they live to see your success before they

0:22:49.280 --> 0:22:49.840
<v Speaker 1>passed away?

0:22:50.480 --> 0:22:50.960
<v Speaker 3>They did.

0:22:51.240 --> 0:22:53.359
<v Speaker 4>My mom, actually, when I was a young kid, said

0:22:53.680 --> 0:22:56.240
<v Speaker 4>she was a psychologist, and she said what's really important

0:22:56.240 --> 0:22:59.440
<v Speaker 4>for women is have your own identity and a career

0:22:59.440 --> 0:23:00.240
<v Speaker 4>outside of them home.

0:23:00.359 --> 0:23:02.040
<v Speaker 3>She told me that when I was eight, my little

0:23:02.080 --> 0:23:02.800
<v Speaker 3>sister was six.

0:23:02.880 --> 0:23:04.960
<v Speaker 4>For some reasons, he thought that's the time you need

0:23:05.000 --> 0:23:06.560
<v Speaker 4>to send that message.

0:23:06.600 --> 0:23:08.440
<v Speaker 3>So I'm grateful to her for that message.

0:23:08.520 --> 0:23:10.919
<v Speaker 1>Your father did he ever say this is better than

0:23:10.920 --> 0:23:12.200
<v Speaker 1>being a physicist what you're doing.

0:23:13.000 --> 0:23:15.000
<v Speaker 3>My dad was pretty remarkable, you know.

0:23:15.160 --> 0:23:18.880
<v Speaker 4>The tale end of that story about his journey from

0:23:18.920 --> 0:23:21.240
<v Speaker 4>no high school education to a PhD in a career

0:23:21.280 --> 0:23:24.639
<v Speaker 4>at Stanford is he said education is your passport for

0:23:24.720 --> 0:23:28.800
<v Speaker 4>freedom and so the only point he impressed on us

0:23:28.840 --> 0:23:34.480
<v Speaker 4>over and over was really focus on education, keep opening doors,

0:23:34.920 --> 0:23:37.240
<v Speaker 4>and take risks. If he didn't take the risk he

0:23:37.280 --> 0:23:40.600
<v Speaker 4>took to get himself out of Austria to teach himself physics,

0:23:40.960 --> 0:23:42.920
<v Speaker 4>he wouldn't have made it. And he was so grateful

0:23:43.280 --> 0:23:45.640
<v Speaker 4>to get to the United States. So if there's anything else,

0:23:45.720 --> 0:23:48.240
<v Speaker 4>it was that the life that he never expected he

0:23:48.240 --> 0:23:49.600
<v Speaker 4>would have, and then to have a family.

0:23:51.240 --> 0:23:53.760
<v Speaker 1>Thanks for listening to hear more of my interviews. You

0:23:53.800 --> 0:23:57.960
<v Speaker 1>can subscribe and download my podcast on Spotify, Apple, or

0:23:57.960 --> 0:23:58.760
<v Speaker 1>wherever you listen.