WEBVTT - Palantir CEO Speaks at AIPCon, Broadcom Earnings Preview, Big Tech Faces EU's New Rules

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<v Speaker 1>From Mahart. We're Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN. This is Bloomberg Technology with Caroline Hyde

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<v Speaker 1>and Ed lud Love.

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<v Speaker 2>I'm Caroline Hyde live from San Francisco, Ed Ludlow, He's

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<v Speaker 2>on location in Palo Alto, and this.

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<v Speaker 3>Is Bloomberg Technology. Coming up.

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<v Speaker 2>We go live to Palanteer headquarters. That's where Ed is

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<v Speaker 2>sitting down with the CEO, Alex Krk to.

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<v Speaker 3>Dive into Guess What AI.

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<v Speaker 2>Their full conversation later this hour, plus we'll push ahead

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<v Speaker 2>to the earnings out after the bell. Broadcom is the

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<v Speaker 2>latest company to test if this AI rally is a

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<v Speaker 2>reality and the EU's Digital Markets Act it takes hold today,

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<v Speaker 2>hitting big tech firms with a list of dos and don'ts.

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<v Speaker 3>We'll break down.

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<v Speaker 2>The epic battles already raging for Apple and so much

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<v Speaker 2>more throughout this hour. But first look at what's happening

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<v Speaker 2>with Apple. They cannot really catch a break. We're still

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<v Speaker 2>lower and that's as we try to dive cell for

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<v Speaker 2>really digest what's happening with the EU and how it's

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<v Speaker 2>going to impact some of these big gatekeepers as their name.

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<v Speaker 2>Let's dive into it they e use Digital Markets Act.

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<v Speaker 2>It is coming into force today, hitting big tech firms

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<v Speaker 2>with a broad list of dos and don'ts, and well,

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<v Speaker 2>really they're going to face some threats of significant finds

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<v Speaker 2>that they don't live.

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<v Speaker 3>Up to the regulation. The aim, of course, to create a.

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<v Speaker 2>More competitive online field and posting changes on these six

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<v Speaker 2>so called gatekeepers. Apple is one of them, but so

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<v Speaker 2>is Amazon, so is Google owner Alphabet, So it's tiptop Pairent, Bike, Dance, Meta, Microsoft.

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<v Speaker 3>Today. Apple already faces questions from the EU, the.

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<v Speaker 2>Regulators over there wanting to know about the accusations that

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<v Speaker 2>is barring Epic Games from opening its own app store

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<v Speaker 2>for iPhone customers in Europe.

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<v Speaker 3>That is what these new rules are meant to be allowing.

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<v Speaker 2>Blue Meg's Mark German has more and the battles still

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<v Speaker 2>rages on Mark. Just give us the inside track of

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<v Speaker 2>why we're seeing Apple not allowed this third party app

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<v Speaker 2>store to come to light.

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<v Speaker 4>Caroline, Apple has a law on its plate right now.

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<v Speaker 4>It's looking for its next big thing today. Like you said,

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<v Speaker 4>the Digital Markets Act is coming into place. There is

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<v Speaker 4>a lawsuit coming from the United States Department of Justice

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<v Speaker 4>before the end of the month. So They're already dealing

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<v Speaker 4>with a lot. This latest bit completely unnecessary reading between

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<v Speaker 4>the lines. Essentially, Apple's app store chief Phil Schiller and

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<v Speaker 4>other people at Apple, perhaps we're upset about Tim Sweeney's

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<v Speaker 4>tweets and response to the DMA rollout. That's Apple's way

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<v Speaker 4>of complying with the new E regulation. Sweeney tweeted that

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<v Speaker 4>Apple's response and their new policies are quote hot garbage.

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<v Speaker 4>He called it malicious compliance. He had a few other

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<v Speaker 4>choice words, or, as Phil Schiller called it in an

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<v Speaker 4>email to him, colorful language. And so Apple decided they're

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<v Speaker 4>going to yank Epic Game's new developer account in the

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<v Speaker 4>European Union in Sweden that would allow Epic Games to

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<v Speaker 4>roll out its own third party at marketplace for the

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<v Speaker 4>iPhone in the twenty seven countries that make up the EU.

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<v Speaker 4>Apple pulls that developer account. Now the EU is asking

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<v Speaker 4>more questions on the launch date for these new rules.

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<v Speaker 4>Not great, and this has the potential for the EU

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<v Speaker 4>to continue to find Apple. Apple I think, in the

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<v Speaker 4>mind of the EU probably doesn't have a great argument

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<v Speaker 4>for why they did this, pulling their account because they

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<v Speaker 4>didn't like their response on Twitter about this. It's not

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<v Speaker 4>a great look for Apple, I would say, and it's

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<v Speaker 4>a little childish on one hand. On the other hand,

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<v Speaker 4>you know, there's the perspective that Apple believes that Epic

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<v Speaker 4>Games is going to break the rules again and they

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<v Speaker 4>to protect their users. So certainly not a great development

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<v Speaker 4>for Apple.

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<v Speaker 2>And we've been hearing the course, Spotify also taking issue

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<v Speaker 2>with some of Apple's ways of working around the DMA

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<v Speaker 2>and feeling that they're still going to be charged an

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<v Speaker 2>untoward amount of money ultimately if you do get more

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<v Speaker 2>than million downloads on your apps. As you say, Apple

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<v Speaker 2>faces so many issues right now. And the key piece

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<v Speaker 2>of reporting, of course, that you brought us last week

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<v Speaker 2>was this almost ten billion dollar effort of a car

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<v Speaker 2>over years of expenses that then they've retracted on. They're

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<v Speaker 2>no longer going to be building the so called Apple car,

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<v Speaker 2>and they're putting the money into general to AI, you've

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<v Speaker 2>got a real deep dive on what really went wrong here.

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<v Speaker 3>Just take us through your big take today, Mark.

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<v Speaker 4>Yeah, I actually think that's why the stock has been

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<v Speaker 4>down lately. Initially you saw the stock jump up when

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<v Speaker 4>Apple pulled out of the car a week or so ago,

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<v Speaker 4>But now I think investors are realizing what's coming next.

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<v Speaker 4>Investors always want to buy into what the future of

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<v Speaker 4>the company is, and that future is not so clear,

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<v Speaker 4>and it's less clear now after pulling out of the

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<v Speaker 4>car project. They had gigantic ambitions to build essentially what

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<v Speaker 4>amounted to a private jet or living room on wheels.

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<v Speaker 4>You had club style seating, recliners, you had footrests, gigantic

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<v Speaker 4>TVs and state of the art audio system the ability

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<v Speaker 4>to watch TV and FaceTime and game from your car

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<v Speaker 4>while it's driving itself. From what I'm told, some of

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<v Speaker 4>the designs of the Apple car were absolutely beautiful. It

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<v Speaker 4>looked like a canoe EV with white wall tires, a

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<v Speaker 4>white exterior, dark black tinted windows that could adjust their

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<v Speaker 4>tint levels, like a Boeming Dreamline or airplane, some state

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<v Speaker 4>of the art autonomy systems. Everything in there was state

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<v Speaker 4>of the art. It looked nothing like you'd ever seen

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<v Speaker 4>on the road before in mass quantities. But there were

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<v Speaker 4>major problems from indecision on what to do, what levels

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<v Speaker 4>of autonomy to go for. From the very top of

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<v Speaker 4>the company. There were issues, of course about the technology

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<v Speaker 4>and when autonomy or full autonomy would be ready. There

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<v Speaker 4>were manufacturing concerns, competitive issues, and of course the real

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<v Speaker 4>nature of the competitive car business and the profitability of

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<v Speaker 4>what a car would bring and the challenges in that business.

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<v Speaker 4>But one thing I'll say, I spoke to someone involved

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<v Speaker 4>in the project yesterday, and you know, they really pushed

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<v Speaker 4>back on that idea of their being profitability concerns, which

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<v Speaker 4>there absolutely were, But this person disagreed with those concerns, saying,

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<v Speaker 4>you know what business is harder than the automotive business,

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<v Speaker 4>the consumer electronics business. And Apple's doing a spine there.

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<v Speaker 2>I said, Mark German, such great reporting. We thank you

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<v Speaker 2>for it. Let's switch gears a little bit now and

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<v Speaker 2>go to where the optimism in the market has been.

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<v Speaker 2>Chip makers, Broadcom earnings. They're coming after the bell today.

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<v Speaker 2>Investors are waiting with bait in breath. I want to

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<v Speaker 2>say if the continue is really going to be there

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<v Speaker 2>for the AI frenzy across hardware, across chip stocks. Most common,

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<v Speaker 2>Ryan Nicky is with us. We're pleased to welcome comment.

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<v Speaker 2>We are anticipating big numbers, are we.

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<v Speaker 5>Yeah, so investors are really looking at these earnings as

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<v Speaker 5>the next gut check for as you said, the chip

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<v Speaker 5>making stocks, the sort of hardware the pigs and shovels,

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<v Speaker 5>if you would call them that, of the AI rally.

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<v Speaker 5>And so what Wall Street is expecting here is for

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<v Speaker 5>Broadcom to report about eleven point eight billion in revenue

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<v Speaker 5>for the quarter, which is a thirty percent jump year

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<v Speaker 5>over year.

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<v Speaker 3>Most of that is from AI.

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<v Speaker 5>And what they're also looking for is that the total

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<v Speaker 5>chip sales, which in the last quarter was about fifteen

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<v Speaker 5>percent of total chip sales, will go to about twenty

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<v Speaker 5>five percent for the total year. So they'll be looking

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<v Speaker 5>at an update on that is their progress. Are we

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<v Speaker 5>moving from that fifteen percent number towards that twenty five

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<v Speaker 5>percent number. The stock is looking really good up into

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<v Speaker 5>the earnings. We're up about three percent today, twenty five

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<v Speaker 5>percent year to date, and fifty percent from its last

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<v Speaker 5>earnings release.

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<v Speaker 3>And this has been huge.

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<v Speaker 5>Broadcom is a little bit of an unsung AI hero,

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<v Speaker 5>I think, because it's the tenth biggest stock in the

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<v Speaker 5>S and P five hundred right now. It doesn't get

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<v Speaker 5>the same shine as the star of the show in video,

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<v Speaker 5>but it is in a similar realm. One thing investors

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<v Speaker 5>are also looking at here is that sort of unlike

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<v Speaker 5>in video or AMD, Broadcom is a little bit less

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<v Speaker 5>of an AI peer place. So though AI is the

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<v Speaker 5>biggest thing that investors will be looking at, there are

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<v Speaker 5>other pieces of the puzzle here. So on one hand,

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<v Speaker 5>some people say that could be really beneficial if AI

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<v Speaker 5>is indeed a bubble, there might be some insulation for

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<v Speaker 5>broadcome investors. But on the flip side, it could kind

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<v Speaker 5>of hold back some of the growth that some of

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<v Speaker 5>the AI names are seeing. So there's a lot that

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<v Speaker 5>investors will be looking at here. If the last release

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<v Speaker 5>was any indication of what's coming on the call and

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<v Speaker 5>the future guidance from CEO Hockey tand is going to

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<v Speaker 5>be really important. Last quarter, we actually shares dip a

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<v Speaker 5>little bit and then go back up when the CEO

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<v Speaker 5>said that AI is going to be a bright spot

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<v Speaker 5>for them going forward.

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<v Speaker 2>Tom and Ronicky will please to say you're going to

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<v Speaker 2>be all across the story when the numbers come out

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<v Speaker 2>after the bill.

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<v Speaker 3>We really appreciate you on the show. Thank you.

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<v Speaker 6>AI is going to create tremendous wealth and value shareholders,

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<v Speaker 6>for stakeholders, for employees of these companies, for the people

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<v Speaker 6>and the businesses that utilize AI. And we can't leave

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<v Speaker 6>behind women in minorities in this value creation moment.

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<v Speaker 2>Salesforce executive Claris she there on just how diverse workforces

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<v Speaker 2>are key to building artificial intelligence models and creating the

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<v Speaker 2>policies in fact, for responsible AI.

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<v Speaker 3>We want to continue that conversation. It's a hot topic.

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<v Speaker 7>We know.

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<v Speaker 2>Narna Sing's with us, founder and CEO of Credo AI

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<v Speaker 2>is a responsible AI governance company which allows businesses to

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<v Speaker 2>ensure that their AI is compliant, transparent, auditable. And my

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<v Speaker 2>perspective would be that your business is just up into

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<v Speaker 2>the right people desperate to get their governance in place.

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<v Speaker 8>Is that really happening, Caroline, Good to see you, you

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<v Speaker 8>know right now. Governance has a very interesting connotation in

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<v Speaker 8>the world of AI. Many see it as actually a

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<v Speaker 8>deterrent to innovation, but that's actually not the right way

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<v Speaker 8>to think about it. We have seen that organizations that

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<v Speaker 8>embed and start doing governance early on in the AI

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<v Speaker 8>journey are the ones who are.

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<v Speaker 3>Actually showing up a inner.

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<v Speaker 8>So I think this is a very interesting interplay between

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<v Speaker 8>governance and innovation, and I think we're going to see

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<v Speaker 8>that drastically changed this year.

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<v Speaker 3>What's interesting is, I mean the headlines keep coming.

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<v Speaker 2>I think in my colleague who's Jackiedavloss writing that there's

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<v Speaker 2>been sort of a whistleblower over at Microsoft at the

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<v Speaker 2>moment coming forward, saying that there are concerns within the

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<v Speaker 2>copilot of image generation with Dali, and they feel that

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<v Speaker 2>there's not enough governance in guardrails in place this safe

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<v Speaker 2>image generation when it comes to these large.

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<v Speaker 3>Language models, and we know what's happened.

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<v Speaker 2>With Gemini where almost to correct one bias, they ended

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<v Speaker 2>up bringing us completely ahistorical images. How could governance have

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<v Speaker 2>perhaps fixed this ahead of time before release?

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<v Speaker 3>Yeah, great question.

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<v Speaker 8>So you know, GENERA and AI by itself is a

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<v Speaker 8>very complex technology. One of the things that I think

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<v Speaker 8>most people don't understand is it's not just a technical problem.

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<v Speaker 8>It's a social technical set of problems that are getting

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<v Speaker 8>introduced in artificial intelligence. So what that rule means is

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<v Speaker 8>how could geminize problems be solved or what we are

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<v Speaker 8>seeing with Microsoft, it actually needs oversight across your organization.

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<v Speaker 8>It needs oversight across your systems, your AI models as

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<v Speaker 8>well as your data sets. But more importantly, it needs

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<v Speaker 8>stakeholder involvement. And that stakeholder involvement really comes from everyone

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<v Speaker 8>in the organization. Your risk and compliance and data science teams,

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<v Speaker 8>but also your users, right, So what are we actually

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<v Speaker 8>providing these A applications for and how these users are

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<v Speaker 8>getting impacted is really critical. And I think that's what's

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<v Speaker 8>really critical for organizations to understand is before putting systems

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<v Speaker 8>out in the market, not only thorough testing an evaluation,

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<v Speaker 8>but making sure the right diverse set of eyes have

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<v Speaker 8>been on those systems to make sure that they're actually

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<v Speaker 8>meeting the end goal is really critical.

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<v Speaker 2>Can you just tow me through it as if I

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<v Speaker 2>was a customer? Yeah, what do you come in and do?

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<v Speaker 2>How do I put this governance in place?

0:11:57.280 --> 0:12:00.040
<v Speaker 3>Yeah? Absolutely? So the key thing.

0:11:59.880 --> 0:12:02.880
<v Speaker 8>Is there are three core pillars of AI governance. First

0:12:02.920 --> 0:12:06.480
<v Speaker 8>and foremost is alignment, Carolyn, As you can imagine, what

0:12:06.520 --> 0:12:10.240
<v Speaker 8>does good look like for your organization really varies organization

0:12:10.320 --> 0:12:13.840
<v Speaker 8>by organization, and that's why alignment on what are you

0:12:13.880 --> 0:12:16.960
<v Speaker 8>going to measure, how often are you going to measure,

0:12:17.240 --> 0:12:19.520
<v Speaker 8>how are you going to report against that alignment is

0:12:19.600 --> 0:12:23.679
<v Speaker 8>really critical. So our software basically helps you with alignment

0:12:23.760 --> 0:12:26.959
<v Speaker 8>as a service as step one. Now, once you've aligned,

0:12:27.000 --> 0:12:29.840
<v Speaker 8>the second step is really critical is what are you testing?

0:12:30.240 --> 0:12:34.400
<v Speaker 8>And as I mentioned, given the sociotechnical nature of artificial intelligence.

0:12:34.720 --> 0:12:38.240
<v Speaker 8>You have to test everything from your technical AI systems. Two,

0:12:38.760 --> 0:12:41.400
<v Speaker 8>how your organization is set up to actually provide that

0:12:41.480 --> 0:12:44.640
<v Speaker 8>oversight and accountability. And then the last thing is how

0:12:44.640 --> 0:12:48.440
<v Speaker 8>do you actually make the outcomes understandable by the diverse stakeholders.

0:12:48.880 --> 0:12:51.600
<v Speaker 8>Not everyone is an AI expert, right, So how do

0:12:51.679 --> 0:12:55.320
<v Speaker 8>you actually create the rist boards, the transparency reports, the

0:12:55.400 --> 0:12:59.560
<v Speaker 8>audit reports so that all these different stakeholders can understand one,

0:12:59.640 --> 0:13:02.520
<v Speaker 8>what are the risk within your system? But more importantly,

0:13:02.600 --> 0:13:05.200
<v Speaker 8>what mitigations are you going to put in place and

0:13:05.240 --> 0:13:07.760
<v Speaker 8>the accountability structures you're going to put in place to

0:13:07.840 --> 0:13:09.079
<v Speaker 8>make sure this AI works for.

0:13:09.040 --> 0:13:12.240
<v Speaker 3>All We've always been here before.

0:13:12.559 --> 0:13:15.640
<v Speaker 2>You look at the eregulation coming in today is a

0:13:15.720 --> 0:13:20.120
<v Speaker 2>highlight that many regulators feel innovation was put before safety

0:13:20.200 --> 0:13:25.120
<v Speaker 2>or indeed level playing fields competition. When you're saying innovation

0:13:25.960 --> 0:13:32.120
<v Speaker 2>is being seen as the offset to guard rails, do

0:13:32.160 --> 0:13:33.640
<v Speaker 2>you think more regulation is.

0:13:33.600 --> 0:13:35.559
<v Speaker 3>Needed to ensure that companies are.

0:13:35.440 --> 0:13:38.240
<v Speaker 2>Using CREATIOAI are bringing in their guard rails.

0:13:38.280 --> 0:13:41.079
<v Speaker 8>At the same time, I would say that more intentional

0:13:41.120 --> 0:13:44.400
<v Speaker 8>regulation is needed. I think more guardrails and enforcement mechanisms

0:13:44.400 --> 0:13:47.079
<v Speaker 8>are needed. So as an example, just think about twenty

0:13:47.120 --> 0:13:51.400
<v Speaker 8>twenty four, two billion people across fifty countries are going

0:13:51.440 --> 0:13:53.880
<v Speaker 8>to be an election and they're going to be voting,

0:13:54.240 --> 0:13:56.240
<v Speaker 8>and majority of that is going to be powered by

0:13:56.360 --> 0:13:57.440
<v Speaker 8>artificial intelligence.

0:13:57.840 --> 0:14:00.720
<v Speaker 3>So when you have artificial law, is that majority going

0:14:00.760 --> 0:14:02.559
<v Speaker 3>to be powered by artificial intelligence.

0:14:02.360 --> 0:14:05.600
<v Speaker 8>Because they are going to get access to information, They're

0:14:05.600 --> 0:14:08.800
<v Speaker 8>going to get access to text media ads which are

0:14:08.840 --> 0:14:11.720
<v Speaker 8>all going to be built around artificial intelligence. And we've

0:14:11.720 --> 0:14:15.000
<v Speaker 8>seen examples of defix already showing up. Right, So the

0:14:15.080 --> 0:14:17.880
<v Speaker 8>key question that we should be asking ourselves is one

0:14:18.120 --> 0:14:20.360
<v Speaker 8>not only what the bills and policies are in place,

0:14:20.400 --> 0:14:22.840
<v Speaker 8>but how are they going to enforce it so that

0:14:23.120 --> 0:14:27.000
<v Speaker 8>a normal, you know, voter, a citizen who's actually going

0:14:27.040 --> 0:14:29.960
<v Speaker 8>and showing up to vote, actually has the right information

0:14:30.040 --> 0:14:33.120
<v Speaker 8>before they make that very important decision for our democracy.

0:14:33.760 --> 0:14:36.640
<v Speaker 2>We've already had an executive voter when it comes to AI.

0:14:37.000 --> 0:14:40.920
<v Speaker 2>You advise the White House on AI. And indeed, I'm

0:14:40.920 --> 0:14:44.160
<v Speaker 2>sure policymaking is government doing enough.

0:14:44.560 --> 0:14:46.560
<v Speaker 3>We're seeing Congress moves swiftly enough.

0:14:47.840 --> 0:14:49.960
<v Speaker 8>I would say this is the first time in the

0:14:50.000 --> 0:14:53.800
<v Speaker 8>past couple of decades we've actually seen government action trying

0:14:53.840 --> 0:14:56.120
<v Speaker 8>to keep pace with technology. But we are in a

0:14:56.200 --> 0:14:59.160
<v Speaker 8>very different era of technology innovation where it is moving

0:14:59.280 --> 0:15:02.840
<v Speaker 8>so fast, and so this is where adaptive policymaking becomes

0:15:02.960 --> 0:15:06.840
<v Speaker 8>really critical. And Executive Order is a fantastic example. There

0:15:06.840 --> 0:15:10.320
<v Speaker 8>were key goalposts that were put in place in Executive Order,

0:15:10.400 --> 0:15:14.520
<v Speaker 8>including OMB guidance. How does federal government procure third party

0:15:14.560 --> 0:15:17.560
<v Speaker 8>commercial AI? What are the safety standards that we need

0:15:17.560 --> 0:15:20.920
<v Speaker 8>to establish? NIST's role in the US Safety Institute. We

0:15:20.960 --> 0:15:23.560
<v Speaker 8>are a proud funding member, but I think there is

0:15:23.840 --> 0:15:27.320
<v Speaker 8>more work needs that needs to happen. For example, Congress

0:15:27.400 --> 0:15:29.520
<v Speaker 8>just passed the budget and this funding was.

0:15:29.520 --> 0:15:30.480
<v Speaker 3>Cut by twelve percent.

0:15:31.040 --> 0:15:34.960
<v Speaker 8>So what does that signal If AI safety and benchmarking

0:15:35.000 --> 0:15:37.680
<v Speaker 8>is critical, I think we need to show investment dollars

0:15:37.680 --> 0:15:40.040
<v Speaker 8>in those initiatives, and that's not happening.

0:15:40.160 --> 0:15:43.080
<v Speaker 3>I'm imagining you're a global company. Yes, what are other

0:15:43.160 --> 0:15:44.680
<v Speaker 3>companies other countries doing?

0:15:45.440 --> 0:15:49.720
<v Speaker 8>Yeah, you know you mentioned Europe EUAI Act goes into

0:15:49.800 --> 0:15:53.000
<v Speaker 8>effect this month, and that is a big step forward

0:15:53.120 --> 0:15:57.440
<v Speaker 8>for a country that is putting European citizens rights first

0:15:57.640 --> 0:16:00.560
<v Speaker 8>through a very risk base approach. The key is going

0:16:00.600 --> 0:16:02.320
<v Speaker 8>to be how is that going to be enforced over

0:16:02.360 --> 0:16:06.520
<v Speaker 8>the next sixteen months where each and every organization, multinational

0:16:06.600 --> 0:16:09.280
<v Speaker 8>organization will have to play by the EU rules. So

0:16:09.400 --> 0:16:12.360
<v Speaker 8>EUAI act is truly going to have that Brussels effect

0:16:12.680 --> 0:16:15.640
<v Speaker 8>that we saw with GDPR, but at a magnitude that

0:16:15.680 --> 0:16:17.560
<v Speaker 8>we can't even imagine. And this is the time that

0:16:17.720 --> 0:16:20.080
<v Speaker 8>organizations need to start getting ready for it.

0:16:20.480 --> 0:16:23.360
<v Speaker 3>Better thought, it are getting in ahead of time. Neverena

0:16:23.400 --> 0:16:25.800
<v Speaker 3>saying we thank you so much for lending us your expertise.

0:16:25.840 --> 0:16:30.600
<v Speaker 2>Today, CEO and founder of Credo Ai coming up. Sk Heinex,

0:16:30.640 --> 0:16:32.880
<v Speaker 2>it's investing more than a billion dollars in South Korea

0:16:32.960 --> 0:16:35.680
<v Speaker 2>this year to expand and improve the final steps in

0:16:35.720 --> 0:16:38.280
<v Speaker 2>its chip manufacturing. We're going to discuss why. That's also

0:16:38.320 --> 0:16:54.200
<v Speaker 2>an hang house story too. This is bringing back technology

0:16:56.560 --> 0:16:59.440
<v Speaker 2>time now for talking tech. Sk Heinex rumming up. It

0:16:59.520 --> 0:17:02.680
<v Speaker 2>spending on advanced chip packaging in hopes to capturing more

0:17:02.680 --> 0:17:05.159
<v Speaker 2>of the burgeoning demand for the crucial component in artificial

0:17:05.200 --> 0:17:08.800
<v Speaker 2>intelligence development, high bandwidth memory. Now, the firm is investing

0:17:08.800 --> 0:17:11.000
<v Speaker 2>more than a billion dollars in South Korea this year

0:17:11.200 --> 0:17:15.040
<v Speaker 2>to expand and improve the final steps of its chip manufacturing. Plus,

0:17:15.119 --> 0:17:18.320
<v Speaker 2>China's Foreign Minister Wang Yi called the level of trade

0:17:18.400 --> 0:17:21.320
<v Speaker 2>curbs that the US is imposed on the country, bewildering

0:17:21.520 --> 0:17:24.680
<v Speaker 2>as his President Biden's efforts to block Beijing from advanced

0:17:24.720 --> 0:17:27.560
<v Speaker 2>tech undermine a steadying of ties between the.

0:17:27.480 --> 0:17:30.920
<v Speaker 3>World's two largest economies. Meanwhile, the US government is.

0:17:30.920 --> 0:17:34.200
<v Speaker 2>Pressing its allies to further tighten those restrictions on China's

0:17:34.240 --> 0:17:35.760
<v Speaker 2>access to semiconductor technology.

0:17:35.840 --> 0:17:37.640
<v Speaker 3>The Byern administration's.

0:17:37.000 --> 0:17:39.880
<v Speaker 2>Latest push, it aims to plug holes and export controls

0:17:39.880 --> 0:17:42.359
<v Speaker 2>that it's levied over the past two years, basically to

0:17:42.400 --> 0:17:47.399
<v Speaker 2>restrain China's progress and developing domestic chip capabilities. Let's just

0:17:47.440 --> 0:17:50.440
<v Speaker 2>stick on well, the tension with US and China right now,

0:17:50.480 --> 0:17:53.439
<v Speaker 2>because today the House Energy and Commerce Committee plans to

0:17:53.480 --> 0:17:57.119
<v Speaker 2>act on legislation introduced by a bipartisan group of House

0:17:57.160 --> 0:18:00.879
<v Speaker 2>members that would give TikTok's Chinese parent Dance just one

0:18:00.960 --> 0:18:03.359
<v Speaker 2>hundred and sixty five days.

0:18:02.640 --> 0:18:04.120
<v Speaker 3>To sell it for more.

0:18:04.320 --> 0:18:08.800
<v Speaker 2>Let's bring in Bloomberg's Dan Flatley and Dan. That of course,

0:18:08.800 --> 0:18:11.920
<v Speaker 2>seems to be where we're seeing the push going get

0:18:12.040 --> 0:18:13.960
<v Speaker 2>rid of the Chinese ownership of TikTok.

0:18:15.520 --> 0:18:18.920
<v Speaker 9>Yeah, you know, we've sort of been here before. It's interesting,

0:18:19.000 --> 0:18:21.119
<v Speaker 9>this is the latest push and it does seem to

0:18:21.119 --> 0:18:23.119
<v Speaker 9>have some momentum behind it in the sense that you know,

0:18:23.160 --> 0:18:25.600
<v Speaker 9>there's a markup today as you mentioned in the House

0:18:25.720 --> 0:18:29.600
<v Speaker 9>Energy and Commerce Committee. There could be potentially some Senate action,

0:18:29.680 --> 0:18:32.400
<v Speaker 9>although we don't have any indication yet as to you know.

0:18:32.320 --> 0:18:33.480
<v Speaker 1>How that chamber will act.

0:18:34.359 --> 0:18:35.600
<v Speaker 9>But you know, this still has to go to the

0:18:35.600 --> 0:18:37.760
<v Speaker 9>House floor, it still has to go to the Senate potentially,

0:18:37.800 --> 0:18:39.760
<v Speaker 9>it still has to go to the President. So we're

0:18:39.760 --> 0:18:43.960
<v Speaker 9>a long way from from actually seeing this happen. And

0:18:44.200 --> 0:18:46.760
<v Speaker 9>you know, the TikTok has been under some form of

0:18:46.840 --> 0:18:50.800
<v Speaker 9>national security review since twenty eighteen, and Trump, when he

0:18:50.880 --> 0:18:53.040
<v Speaker 9>was president, tried to ban it in twenty twenty that

0:18:53.520 --> 0:18:56.440
<v Speaker 9>ended up in the courts, So you know, there's still

0:18:56.480 --> 0:18:58.200
<v Speaker 9>a lot of tape to play out on this, but

0:18:58.800 --> 0:19:01.520
<v Speaker 9>certainly some action plan today in the House.

0:19:03.040 --> 0:19:08.240
<v Speaker 2>Meanwhile, TikTok's response is, well, this is curbing free speech,

0:19:08.400 --> 0:19:10.800
<v Speaker 2>a right to access to such a platform. Do you

0:19:10.840 --> 0:19:12.360
<v Speaker 2>think that their argument carries weight?

0:19:13.560 --> 0:19:13.760
<v Speaker 8>Yeah.

0:19:13.800 --> 0:19:15.679
<v Speaker 9>I think the reason that they're making that argument is

0:19:15.720 --> 0:19:19.280
<v Speaker 9>because the First Amendment challenges are where they're on their

0:19:19.400 --> 0:19:23.720
<v Speaker 9>strongest legal footing. You know, there's broad exceptions and a

0:19:23.720 --> 0:19:26.560
<v Speaker 9>lot of US national security laws for free speech, and

0:19:26.640 --> 0:19:30.280
<v Speaker 9>so obviously that's where they intend to mount their challenge.

0:19:30.440 --> 0:19:32.320
<v Speaker 9>You know, the sponsors of this bill, or at least

0:19:32.359 --> 0:19:34.480
<v Speaker 9>one of them, Mike Gallagher, the chairman of the China

0:19:34.480 --> 0:19:38.040
<v Speaker 9>Committee here in DC, is saying this is not a band.

0:19:38.160 --> 0:19:41.720
<v Speaker 9>This is essentially just trying to excize the Chinese ownership

0:19:41.760 --> 0:19:44.919
<v Speaker 9>of this company. But you know that's in some ways

0:19:44.920 --> 0:19:46.800
<v Speaker 9>not really for him to say. I mean that the

0:19:46.840 --> 0:19:49.679
<v Speaker 9>courts will have their say on this at some point.

0:19:50.240 --> 0:19:52.200
<v Speaker 9>Certainly he has his argument to make, and he's making

0:19:52.240 --> 0:19:52.640
<v Speaker 9>it right.

0:19:52.560 --> 0:19:56.159
<v Speaker 2>Now down fatly brilliant that you bring us up to

0:19:56.200 --> 0:20:06.639
<v Speaker 2>speed with illegal ramifications. We thank you so much. Welcome

0:20:06.640 --> 0:20:09.120
<v Speaker 2>back to New Meg Technology. I'm Caroline Hyde right here

0:20:09.160 --> 0:20:12.960
<v Speaker 2>in San Francisco. Now it's twenty twenty three. Venture deal

0:20:13.000 --> 0:20:15.639
<v Speaker 2>making declined, you know that across the board for a

0:20:15.640 --> 0:20:16.560
<v Speaker 2>second con sective year.

0:20:16.600 --> 0:20:17.680
<v Speaker 3>It's pretty ugly out there.

0:20:17.840 --> 0:20:21.320
<v Speaker 2>Female founders, of course, they were impacted, but interestingly they

0:20:21.440 --> 0:20:24.840
<v Speaker 2>still manage to secure a record share of total deal

0:20:24.920 --> 0:20:27.919
<v Speaker 2>value as according to the latter's report in Female Founders in.

0:20:27.920 --> 0:20:29.240
<v Speaker 3>The VC ecosystem.

0:20:29.280 --> 0:20:31.399
<v Speaker 2>It's all put together by Pitchbook and they put the

0:20:31.480 --> 0:20:34.359
<v Speaker 2>data out today. Let's dig in with Amriy Donaghan just

0:20:34.400 --> 0:20:38.480
<v Speaker 2>the analyst behind this research. Oh, twenty eight percent doesn't

0:20:38.520 --> 0:20:40.840
<v Speaker 2>look too bad. But can you put that into actual numbers?

0:20:40.880 --> 0:20:41.480
<v Speaker 2>What sort of.

0:20:41.400 --> 0:20:44.080
<v Speaker 3>Money is being raised by female founders? Yeah, that's right.

0:20:44.080 --> 0:20:46.240
<v Speaker 10>We're looking at a population of companies that have grown

0:20:46.520 --> 0:20:50.200
<v Speaker 10>significantly over the past decade, raising tens of billions of

0:20:50.280 --> 0:20:53.200
<v Speaker 10>dollars collectively. But then when you can textualize that, look

0:20:53.200 --> 0:20:55.280
<v Speaker 10>at the amount of funding for companies that have no

0:20:55.520 --> 0:20:59.240
<v Speaker 10>women representation on the founding teams. You're seeing companies pull

0:20:59.280 --> 0:21:00.320
<v Speaker 10>in one hundreds.

0:21:00.040 --> 0:21:00.919
<v Speaker 3>Of billions of dollars.

0:21:00.920 --> 0:21:03.280
<v Speaker 10>So quite a bit of a difference there, but definitely

0:21:03.359 --> 0:21:06.200
<v Speaker 10>seeing some resilience among those companies in twenty twenty three,

0:21:06.280 --> 0:21:09.440
<v Speaker 10>as broader activity has come down, those companies are hanging

0:21:09.440 --> 0:21:10.560
<v Speaker 10>onto their share of the total.

0:21:11.160 --> 0:21:13.920
<v Speaker 3>Okay, So is there a number for that total?

0:21:15.320 --> 0:21:18.480
<v Speaker 10>Tens of billions in the network of thirty billion about okay,

0:21:18.480 --> 0:21:20.239
<v Speaker 10>So if we look at thirty billion, why is that

0:21:20.320 --> 0:21:21.120
<v Speaker 10>number heading up?

0:21:21.200 --> 0:21:24.399
<v Speaker 2>Is that because there's more just share a scale of

0:21:24.520 --> 0:21:28.200
<v Speaker 2>numbers of individual founders and individual companies coming for money,

0:21:28.400 --> 0:21:30.280
<v Speaker 2>or is it that the companies are starting to get

0:21:30.560 --> 0:21:34.200
<v Speaker 2>such a size that they're able to raise a decent clip.

0:21:34.400 --> 0:21:37.720
<v Speaker 10>Yeah, so we're seeing fewer companies engaging because the conditions

0:21:37.720 --> 0:21:40.080
<v Speaker 10>are so difficult. So it's not a matter of the

0:21:40.119 --> 0:21:43.200
<v Speaker 10>individual company numbers, it's more about the quality of those companies.

0:21:43.240 --> 0:21:46.320
<v Speaker 10>So standards are getting higher for investors. They're getting more

0:21:46.880 --> 0:21:49.720
<v Speaker 10>discerning with the amount of capital that they deployed to

0:21:49.760 --> 0:21:53.800
<v Speaker 10>certain companies. So we're seeing larger best position companies hang

0:21:53.880 --> 0:21:55.679
<v Speaker 10>on to that share, and when we look at female

0:21:55.680 --> 0:21:59.040
<v Speaker 10>founded companies, we see the proportion rise, and that's indicating

0:21:59.080 --> 0:22:01.480
<v Speaker 10>that those companies are already at such a high standard

0:22:01.560 --> 0:22:04.159
<v Speaker 10>that they're able to pull in additional capital and have

0:22:04.280 --> 0:22:06.000
<v Speaker 10>some resiliency on the downside there.

0:22:06.160 --> 0:22:08.000
<v Speaker 2>So I think some of the unicorns that were inked

0:22:08.320 --> 0:22:10.280
<v Speaker 2>very early in twenty twenty three that was sort of

0:22:10.840 --> 0:22:13.960
<v Speaker 2>maven for example, a healthcare company run like Kate Ryder

0:22:14.040 --> 0:22:17.640
<v Speaker 2>able to raise money. Is there a sector that does well?

0:22:17.880 --> 0:22:20.960
<v Speaker 2>I mean, I think of healthcare being a key area

0:22:21.080 --> 0:22:23.640
<v Speaker 2>of focus for female founders, or is this like more

0:22:23.680 --> 0:22:26.119
<v Speaker 2>broad Are we seeing the AI revolution being driven by

0:22:26.119 --> 0:22:26.600
<v Speaker 2>women too?

0:22:26.720 --> 0:22:28.800
<v Speaker 10>Of course, it would not be a conversation about VC

0:22:28.920 --> 0:22:31.560
<v Speaker 10>these days without mentioning AI. A lot of women really

0:22:31.600 --> 0:22:35.000
<v Speaker 10>at the forefront of that. Companies like Anthropics, SCALEAI creator

0:22:35.000 --> 0:22:38.119
<v Speaker 10>who we heard from earlier, really involved in this movement

0:22:38.160 --> 0:22:39.720
<v Speaker 10>for sure. We're seeing that's pretty much one of the

0:22:39.760 --> 0:22:42.680
<v Speaker 10>only verticals in twenty twenty three that managed to pull

0:22:42.680 --> 0:22:45.200
<v Speaker 10>in more capital than the year prior. So most other

0:22:45.240 --> 0:22:48.439
<v Speaker 10>sectors seeing a decline across the broader VC space, but

0:22:48.840 --> 0:22:51.880
<v Speaker 10>seeing some resiliency in healthcare, like you mentioned climate tech

0:22:51.920 --> 0:22:54.280
<v Speaker 10>as well, some areas that have been able to hang

0:22:54.320 --> 0:22:55.680
<v Speaker 10>on to that value.

0:22:55.840 --> 0:22:58.560
<v Speaker 2>It's interesting that you bring up Anthropic. We had done

0:22:58.600 --> 0:23:00.600
<v Speaker 2>in on the show just earlier. But she is a

0:23:00.640 --> 0:23:03.520
<v Speaker 2>co founder. Are you looking at numbers that they are

0:23:03.800 --> 0:23:06.440
<v Speaker 2>within the founding team diverse there is at least one

0:23:06.520 --> 0:23:08.800
<v Speaker 2>female founder, or is it more that they have to

0:23:08.800 --> 0:23:10.480
<v Speaker 2>solely be lit by women.

0:23:10.720 --> 0:23:12.440
<v Speaker 3>We look at both the main methodology.

0:23:12.440 --> 0:23:15.000
<v Speaker 10>We're looking at companies that have at least one female founder,

0:23:15.040 --> 0:23:17.320
<v Speaker 10>so they may have a male co founder, they may not.

0:23:17.920 --> 0:23:20.359
<v Speaker 10>We also look at a smaller section of that total,

0:23:20.400 --> 0:23:23.520
<v Speaker 10>which is just those companies with only women founders. That

0:23:23.560 --> 0:23:26.920
<v Speaker 10>population much smaller, if only pulling in about a single

0:23:26.920 --> 0:23:28.600
<v Speaker 10>digit percentage of the total dollars.

0:23:29.240 --> 0:23:30.960
<v Speaker 2>What about the people that they're sat on the other

0:23:31.000 --> 0:23:32.560
<v Speaker 2>side of the table to who are.

0:23:32.440 --> 0:23:33.520
<v Speaker 3>They going to for money?

0:23:33.560 --> 0:23:36.280
<v Speaker 2>Are they more diverse vcs that are tending to write

0:23:36.320 --> 0:23:37.360
<v Speaker 2>the checks right?

0:23:37.400 --> 0:23:39.520
<v Speaker 10>Well, that's a big part of the equation. You know,

0:23:39.560 --> 0:23:41.600
<v Speaker 10>when you have founders that are looking to enter the

0:23:41.680 --> 0:23:43.920
<v Speaker 10>space and break in, you need an investor that really

0:23:44.200 --> 0:23:47.480
<v Speaker 10>can see the value of that founder and the company itself.

0:23:47.880 --> 0:23:50.119
<v Speaker 3>So big part of the equation there when we look at.

0:23:49.960 --> 0:23:53.080
<v Speaker 10>The breakdown of gender check writers at BC firms, So

0:23:53.400 --> 0:23:55.560
<v Speaker 10>these are the people that ultimately determine whether or not

0:23:55.600 --> 0:23:58.320
<v Speaker 10>a company gets funded. We're looking at another area that's

0:23:58.359 --> 0:24:01.760
<v Speaker 10>heavily male dominated, about seventeen percent of checkerators or women

0:24:01.800 --> 0:24:04.159
<v Speaker 10>in the US. So in most cases you're going to

0:24:04.160 --> 0:24:06.720
<v Speaker 10>have a situation where as a female founder, you're pitching

0:24:06.720 --> 0:24:10.560
<v Speaker 10>to mostly men investors. So there are definitely some implications

0:24:10.560 --> 0:24:11.119
<v Speaker 10>there as well.

0:24:11.440 --> 0:24:13.720
<v Speaker 2>It's a great report, thanks for bringing it to us,

0:24:13.840 --> 0:24:16.560
<v Speaker 2>Amriy Donagan. Just of course a pitch book a research

0:24:16.640 --> 0:24:20.840
<v Speaker 2>analyst there. Next up we talk that AI flavor with Palenteer.

0:24:20.840 --> 0:24:32.480
<v Speaker 2>This is Blue med Technology.

0:24:37.400 --> 0:24:37.919
<v Speaker 3>Welcome back to.

0:24:37.880 --> 0:24:40.320
<v Speaker 2>Bluem Med Technology and Caroline Hide and San Francisco and

0:24:40.840 --> 0:24:43.480
<v Speaker 2>well we have got to get down to Palo Alto.

0:24:43.600 --> 0:24:47.280
<v Speaker 2>There's a big conversation being had around AI and Ed Ludlow.

0:24:47.320 --> 0:24:49.200
<v Speaker 3>You're sat there, how has it been going?

0:24:51.880 --> 0:24:54.800
<v Speaker 11>Well, We're at aip COM where the focus for Palenteer

0:24:55.000 --> 0:24:58.600
<v Speaker 11>is its commercial customers, but frankly, the near term catalyst

0:24:58.680 --> 0:25:02.080
<v Speaker 11>in this stock has been the contracts win around Titan.

0:25:02.520 --> 0:25:05.119
<v Speaker 11>I did sit down for an extended conversation with Alex

0:25:05.160 --> 0:25:08.600
<v Speaker 11>carp the palente CEO, where quite clearly he is showing

0:25:08.680 --> 0:25:12.679
<v Speaker 11>progress on going to a wider commercial customer base, but

0:25:12.760 --> 0:25:15.560
<v Speaker 11>also frustration about how business is done in this country.

0:25:15.840 --> 0:25:16.479
<v Speaker 8>Have listened.

0:25:18.800 --> 0:25:22.800
<v Speaker 1>I'm very exquisitely happy about how well we're doing, both

0:25:22.840 --> 0:25:26.199
<v Speaker 1>in the government and commercially. But the most important change

0:25:26.240 --> 0:25:28.120
<v Speaker 1>in the US government has nothing to do with pound here.

0:25:28.359 --> 0:25:31.280
<v Speaker 1>When we got to we started building this company, the

0:25:31.359 --> 0:25:35.280
<v Speaker 1>idea that software would power intelligence were fighting general health

0:25:35.280 --> 0:25:40.199
<v Speaker 1>issues was viewed as something esoteric, scandalous, obviously questionable. The

0:25:40.240 --> 0:25:44.520
<v Speaker 1>idea that America's primary advantage, premier advantage would be software

0:25:44.840 --> 0:25:49.240
<v Speaker 1>was viewed as also esoteric, academic, self serving, and every

0:25:49.240 --> 0:25:52.720
<v Speaker 1>institution in America and especially depending on have begun to

0:25:52.760 --> 0:25:56.600
<v Speaker 1>come to terms with the idea. The reality that hardware

0:25:57.000 --> 0:26:01.880
<v Speaker 1>driven systems purely are going inferior to software driven hardware systems.

0:26:02.080 --> 0:26:05.160
<v Speaker 1>And beyond that, our adversaries are as good or better

0:26:05.160 --> 0:26:08.800
<v Speaker 1>at building hardware systems and have a deficit in building software.

0:26:08.880 --> 0:26:12.000
<v Speaker 11>What is different about Titan as compared to say, Maven,

0:26:12.480 --> 0:26:16.280
<v Speaker 11>is that you are entering new relationships with other hardware providers,

0:26:16.359 --> 0:26:20.159
<v Speaker 11>right like Anderil is one example. Explain how that is

0:26:20.240 --> 0:26:21.280
<v Speaker 11>working in this case.

0:26:21.440 --> 0:26:25.320
<v Speaker 1>Actually, I see this as a commonality. America needs to

0:26:25.480 --> 0:26:30.560
<v Speaker 1>establish dominance on the battlefield. Maven. What's publicly known about

0:26:30.560 --> 0:26:33.800
<v Speaker 1>Mavin is one of these projects that actually took what

0:26:33.880 --> 0:26:37.040
<v Speaker 1>America is the best at in the world software and

0:26:37.119 --> 0:26:39.280
<v Speaker 1>put it in the hands of our warfighter. By the way,

0:26:39.480 --> 0:26:42.240
<v Speaker 1>at enormous costs. You're sitting in pal Alto. I had

0:26:42.240 --> 0:26:46.520
<v Speaker 1>people protesting here, hundreds, putting up change in front of

0:26:46.560 --> 0:26:50.040
<v Speaker 1>our office, calling us Nazis because we were dedicated to

0:26:50.119 --> 0:26:52.920
<v Speaker 1>serving the American people, because we had the sense God

0:26:52.960 --> 0:26:54.679
<v Speaker 1>gave a goat and we realized that if you're going

0:26:54.720 --> 0:26:57.160
<v Speaker 1>to do really important things in this country, you should

0:26:57.200 --> 0:27:00.560
<v Speaker 1>defend this country with every asset we have. What really

0:27:00.600 --> 0:27:03.800
<v Speaker 1>happened on the Silicon Valley side is that you've got

0:27:03.880 --> 0:27:06.000
<v Speaker 1>because of that success, because of the power of it,

0:27:06.040 --> 0:27:09.239
<v Speaker 1>and quite frankly, because of our success, people realize this

0:27:09.280 --> 0:27:12.000
<v Speaker 1>is a place where you should invest and make America

0:27:12.040 --> 0:27:14.840
<v Speaker 1>even stronger. And then what happened is you've got a

0:27:14.880 --> 0:27:19.600
<v Speaker 1>whole ecosystem of defense startups and an ecosystem of people

0:27:19.600 --> 0:27:22.439
<v Speaker 1>inside the Pentagon who are ready to embrace that that

0:27:22.480 --> 0:27:25.359
<v Speaker 1>are doing things, by the way, that are very similar

0:27:25.359 --> 0:27:27.200
<v Speaker 1>to what's happening in the commercial space. And what are

0:27:27.240 --> 0:27:29.600
<v Speaker 1>those things. We're going to look at software, not off

0:27:29.640 --> 0:27:31.480
<v Speaker 1>power points. We're going to look at We're going to

0:27:31.480 --> 0:27:34.479
<v Speaker 1>buy software from people have actually sold software commercially. And

0:27:34.520 --> 0:27:37.960
<v Speaker 1>what's unique about Titan is not the difference. It's that

0:27:38.240 --> 0:27:40.960
<v Speaker 1>it's the logical extension. And what is that logical extension?

0:27:41.320 --> 0:27:43.840
<v Speaker 1>People who've built software products that have been used on

0:27:43.840 --> 0:27:47.359
<v Speaker 1>the battlefield and used commercially. You have to ask yourself

0:27:47.400 --> 0:27:50.280
<v Speaker 1>a question. If your software is so good, why have

0:27:50.359 --> 0:27:53.080
<v Speaker 1>you not sold it commercially and made yourself billions of dollars.

0:27:53.280 --> 0:27:56.960
<v Speaker 1>So that simple insight, which you see in the battlefield

0:27:57.000 --> 0:27:59.600
<v Speaker 1>in Ukraine, which you see in Israel, is something that

0:27:59.800 --> 0:28:04.479
<v Speaker 1>is hard for institutions to internalize. The Pentagon. This step

0:28:04.560 --> 0:28:06.679
<v Speaker 1>is one of the most historic steps ever because what

0:28:06.760 --> 0:28:09.600
<v Speaker 1>it basically says is we're going to fight for real.

0:28:09.800 --> 0:28:11.800
<v Speaker 1>We're going to put the best on the battlefield. And

0:28:11.840 --> 0:28:13.399
<v Speaker 1>what is the best. The best is not just some

0:28:13.760 --> 0:28:17.760
<v Speaker 1>not one company. It's a team of people led by

0:28:18.040 --> 0:28:21.760
<v Speaker 1>the most prominent software provider in defense in the world, talented.

0:28:21.800 --> 0:28:24.680
<v Speaker 11>If there's something you said there that inside the Pentsagon

0:28:24.760 --> 0:28:28.040
<v Speaker 11>people are ready for this. Bloomberg did some quite deep

0:28:28.080 --> 0:28:32.240
<v Speaker 11>reporting on the use of Maven specifically in twenty twenty

0:28:32.280 --> 0:28:35.840
<v Speaker 11>four so far, and the complaint from operators in the

0:28:35.880 --> 0:28:39.080
<v Speaker 11>context that it's used for targeting is that it's still

0:28:39.120 --> 0:28:42.200
<v Speaker 11>not quite there. It's still this is I'm just offering

0:28:42.200 --> 0:28:43.640
<v Speaker 11>you an opportunity to respond to it.

0:28:43.640 --> 0:28:43.760
<v Speaker 4>Now.

0:28:43.800 --> 0:28:45.680
<v Speaker 1>I'm not going to respond because I'd have to tell

0:28:45.680 --> 0:28:48.400
<v Speaker 1>you all sorts of things. There is no one. By

0:28:48.440 --> 0:28:50.680
<v Speaker 1>the way, there was a long and very important article.

0:28:50.680 --> 0:28:52.800
<v Speaker 1>Everyone should read it. What the way I read the

0:28:52.880 --> 0:28:55.360
<v Speaker 1>article was, this is the most important thing, one of

0:28:55.400 --> 0:28:57.800
<v Speaker 1>the most important things the Pentagon has done in decades.

0:28:58.280 --> 0:29:00.640
<v Speaker 1>I can tell you the way our adversaries ma even

0:29:00.920 --> 0:29:03.800
<v Speaker 1>and our friends is like, what the f how do

0:29:03.960 --> 0:29:06.120
<v Speaker 1>they actually produce this? And I tell you what the

0:29:06.160 --> 0:29:10.120
<v Speaker 1>average citizen read O recurs like, thank God, we're spending

0:29:10.120 --> 0:29:12.560
<v Speaker 1>the money on things that are more valuable than what

0:29:12.640 --> 0:29:15.600
<v Speaker 1>we're investing in. And to go into more detail, if

0:29:15.600 --> 0:29:18.360
<v Speaker 1>to go to all sorts of classiz, that program is

0:29:18.400 --> 0:29:20.560
<v Speaker 1>one of the shining stars of what this country has

0:29:20.600 --> 0:29:24.040
<v Speaker 1>done and serves as a template for we're going on

0:29:24.080 --> 0:29:26.680
<v Speaker 1>the offense. We are going to shirve dominance, and we're

0:29:26.680 --> 0:29:28.240
<v Speaker 1>going to negotiate after we're the best.

0:29:28.600 --> 0:29:30.720
<v Speaker 11>Alex I host the Technology Show, and I want to

0:29:30.760 --> 0:29:34.680
<v Speaker 11>talk about the technology, its current capabilities, and where it

0:29:34.680 --> 0:29:39.480
<v Speaker 11>can go. Is that platform ready to move from assisting

0:29:39.520 --> 0:29:44.680
<v Speaker 11>in targeting, which is intelligence basically, to giving more information.

0:29:44.800 --> 0:29:48.200
<v Speaker 11>The artic will also look to the idea that there

0:29:48.280 --> 0:29:50.720
<v Speaker 11>is a hope from intelligence services in the US government

0:29:50.760 --> 0:29:53.600
<v Speaker 11>that it can be one day in a position to

0:29:53.640 --> 0:29:58.680
<v Speaker 11>recommend which weapon to use to give more tactical.

0:29:58.440 --> 0:30:00.360
<v Speaker 1>Let me give you, let me give you commercial examples.

0:30:00.360 --> 0:30:02.800
<v Speaker 1>Because I can't I can't go into I can't go

0:30:02.880 --> 0:30:04.360
<v Speaker 1>into what it can do and what I can't do.

0:30:04.400 --> 0:30:06.600
<v Speaker 1>I can tell you what we're doing commercially. Right now,

0:30:06.680 --> 0:30:10.480
<v Speaker 1>you are going to see a normal non engineer sitting

0:30:10.680 --> 0:30:16.600
<v Speaker 1>at their terminal tasking satellites, exporting a logic inside the

0:30:16.680 --> 0:30:21.080
<v Speaker 1>security model of the company to figure out which satellite

0:30:21.080 --> 0:30:25.080
<v Speaker 1>should be over which part of their agricultural assets, and

0:30:25.120 --> 0:30:28.240
<v Speaker 1>what should happen based on weather conditions. Now you can

0:30:28.400 --> 0:30:31.280
<v Speaker 1>just imagine how you could do that with a weapon system.

0:30:31.320 --> 0:30:36.120
<v Speaker 1>This is exactly what palach your commercial not Palenteer highly

0:30:36.160 --> 0:30:40.520
<v Speaker 1>classified environment, Palenteer with somebody that has been hired five

0:30:40.600 --> 0:30:44.080
<v Speaker 1>days ago, that can't write code, that's very smart, may

0:30:44.120 --> 0:30:46.760
<v Speaker 1>not speak English, and as just enter the enterprise is

0:30:46.800 --> 0:30:50.120
<v Speaker 1>doing that workflow that is happening right now, and that

0:30:50.280 --> 0:30:54.880
<v Speaker 1>is why the thing that this revolution which is highly confusing.

0:30:54.920 --> 0:30:58.320
<v Speaker 1>It's highly confusing. Yeah, it's confusing because a lot of

0:30:58.320 --> 0:31:01.000
<v Speaker 1>the stuff is BS. Then there's the poetry side of it.

0:31:01.080 --> 0:31:03.680
<v Speaker 1>I love poetry. If I could go read more poetry,

0:31:03.720 --> 0:31:07.360
<v Speaker 1>I would. Enterprises don't need more poth Yes, you mean, well,

0:31:07.400 --> 0:31:10.320
<v Speaker 1>it's like I don't know somebody's delivers PowerPoint. We're gonna

0:31:10.360 --> 0:31:12.880
<v Speaker 1>give you a you know. It's like, look, everybody has

0:31:12.920 --> 0:31:14.560
<v Speaker 1>to try to sell something. If you don't have something

0:31:14.560 --> 0:31:17.440
<v Speaker 1>to sell, you sell words. Right now, so you're selling

0:31:17.520 --> 0:31:19.760
<v Speaker 1>something that doesn't work. Can't work. You're explaining to your

0:31:19.840 --> 0:31:22.120
<v Speaker 1>enterprise you can't have the car you want, which is

0:31:22.160 --> 0:31:24.160
<v Speaker 1>honestly pound here. But you can have the car you

0:31:24.160 --> 0:31:26.360
<v Speaker 1>don't want because this and this and this and this,

0:31:26.400 --> 0:31:26.760
<v Speaker 1>and you have.

0:31:26.720 --> 0:31:27.000
<v Speaker 3>To buy it.

0:31:27.040 --> 0:31:29.400
<v Speaker 1>And that's that's by the way, that that is a

0:31:29.440 --> 0:31:32.480
<v Speaker 1>plague on many societies, less so America. There is this

0:31:32.560 --> 0:31:35.960
<v Speaker 1>problem in Europe that there's really no high end software venders.

0:31:36.200 --> 0:31:38.120
<v Speaker 1>Luckily our adversaries have this problem.

0:31:38.200 --> 0:31:41.160
<v Speaker 11>And you've spoken about your frustrations with Europe not being

0:31:41.320 --> 0:31:42.760
<v Speaker 11>more adopted.

0:31:42.960 --> 0:31:44.960
<v Speaker 1>Well, I'm pro I spent half my life in Europe.

0:31:45.000 --> 0:31:47.760
<v Speaker 1>I want the West to win, so I want. But

0:31:47.800 --> 0:31:50.400
<v Speaker 1>it's a confusing revolution. If you're sitting there and you're

0:31:50.440 --> 0:31:53.800
<v Speaker 1>sitting in society that's lead industrial evolutions for hundreds of years,

0:31:53.880 --> 0:31:56.080
<v Speaker 1>and all of a sudden, the industrial evolution is happening

0:31:56.120 --> 0:31:59.080
<v Speaker 1>basically in one place, and that's right here. That's confusing.

0:31:59.280 --> 0:32:02.160
<v Speaker 1>It's confusing because three vendors are saying they're going to

0:32:02.160 --> 0:32:04.400
<v Speaker 1>offer the same thing. One thing is like, you know,

0:32:04.480 --> 0:32:06.040
<v Speaker 1>I'm going to explain to you why it doesn't work

0:32:06.080 --> 0:32:08.160
<v Speaker 1>you have to buy or bs thing. The others like, oh,

0:32:08.160 --> 0:32:10.320
<v Speaker 1>it does work, but it's only poetry. And then there's

0:32:10.360 --> 0:32:13.400
<v Speaker 1>a third category, which judges by the fruits we provide,

0:32:13.400 --> 0:32:15.600
<v Speaker 1>which is exactly what we're doing, which is like, great,

0:32:15.680 --> 0:32:18.040
<v Speaker 1>We're not going to argue about this part of our product.

0:32:18.040 --> 0:32:19.720
<v Speaker 1>That part of our product. I'm happy to explain it

0:32:19.720 --> 0:32:21.880
<v Speaker 1>to somebody who's technical. We're going to show you what

0:32:22.040 --> 0:32:25.640
<v Speaker 1>happens in four to six hours as opposed to what

0:32:25.680 --> 0:32:28.600
<v Speaker 1>happened in your whole enterprise over the last two years.

0:32:28.640 --> 0:32:31.040
<v Speaker 11>We will talk about the commercial business, we will talk

0:32:31.080 --> 0:32:33.160
<v Speaker 11>about bootcoms, but let me just say.

0:32:33.080 --> 0:32:34.480
<v Speaker 1>I know we can talk about whatever you want.

0:32:35.280 --> 0:32:38.560
<v Speaker 11>A final point, you talked about the confusion of the revolution. Okay,

0:32:39.200 --> 0:32:43.120
<v Speaker 11>Today probably will be the first time that a president

0:32:43.440 --> 0:32:47.400
<v Speaker 11>says artificial intelligence in a State of the Union speech.

0:32:47.760 --> 0:32:50.160
<v Speaker 11>So it's a very simple question, what is your summary

0:32:50.640 --> 0:32:55.200
<v Speaker 11>of this administration's leadership so to speak of the US

0:32:55.240 --> 0:32:56.240
<v Speaker 11>in the context of AI.

0:32:57.160 --> 0:32:59.680
<v Speaker 1>You know, it's very helpful if you spend a lot

0:32:59.680 --> 0:33:02.400
<v Speaker 1>of time abroad, because like, if you look at this internally,

0:33:02.520 --> 0:33:05.320
<v Speaker 1>like internally in America, there's a long list of criticisms

0:33:05.520 --> 0:33:09.200
<v Speaker 1>that you could make of anyone. This country is the

0:33:09.280 --> 0:33:12.760
<v Speaker 1>dominant country with no second country in the world. So

0:33:12.960 --> 0:33:16.840
<v Speaker 1>whatever we're doing, it's working out pretty damn well. So

0:33:16.880 --> 0:33:19.160
<v Speaker 1>it's like, you know, yeah, could we be better, could

0:33:19.160 --> 0:33:21.520
<v Speaker 1>we have better regulation, could we understand these things better?

0:33:21.600 --> 0:33:25.280
<v Speaker 1>But again, we are dealing with a revolution. That's one

0:33:25.320 --> 0:33:28.040
<v Speaker 1>of the really confusing things again for Americans is like,

0:33:28.320 --> 0:33:31.440
<v Speaker 1>normally you have a revolution and multiple countries are participating.

0:33:31.600 --> 0:33:34.280
<v Speaker 1>This is a revolution where the technology is pretty being

0:33:34.280 --> 0:33:36.520
<v Speaker 1>produced in America, mostly in Silicon Valle.

0:33:36.680 --> 0:33:39.160
<v Speaker 11>You do have multiple customers. To just bear with me

0:33:39.240 --> 0:33:41.880
<v Speaker 11>on this one. Take for example, Israel, where you are

0:33:41.880 --> 0:33:46.480
<v Speaker 11>doing some work with that country. The administration as an example,

0:33:46.600 --> 0:33:49.240
<v Speaker 11>is pushing for a ceasefire in that region, but you

0:33:49.320 --> 0:33:52.400
<v Speaker 11>are working with Israel. How do you manage that? Because

0:33:52.400 --> 0:33:55.920
<v Speaker 11>it sounds like your first priority is the United States?

0:33:57.440 --> 0:34:00.240
<v Speaker 1>How do we manage Look, we I'm very happy, very

0:34:00.240 --> 0:34:04.200
<v Speaker 1>happily supply our products to our allies, including Israel. I

0:34:04.240 --> 0:34:07.920
<v Speaker 1>don't like Israel. What's going on here is does America

0:34:07.960 --> 0:34:10.040
<v Speaker 1>provide Israel with more aid? I don't think there's any

0:34:10.120 --> 0:34:12.160
<v Speaker 1>question of does Israel have the right to buy the

0:34:12.160 --> 0:34:15.960
<v Speaker 1>world's best technologies, assess them, and implement them. Israel, I

0:34:15.960 --> 0:34:19.000
<v Speaker 1>think has decided we have some of the world's best technologies.

0:34:19.280 --> 0:34:22.799
<v Speaker 1>They've implemented many of them and publicly discussed some of them,

0:34:23.080 --> 0:34:26.920
<v Speaker 1>and I will palent here. I think the really orthogonal

0:34:26.960 --> 0:34:29.000
<v Speaker 1>may be more question was why do we say in

0:34:29.080 --> 0:34:32.920
<v Speaker 1>public what everyone else believes in private? We should defend

0:34:32.960 --> 0:34:35.680
<v Speaker 1>the West, we should not apologize for fighting terrorism, and

0:34:35.719 --> 0:34:38.080
<v Speaker 1>we are going to provide our sharp tools to our allies.

0:34:38.520 --> 0:34:39.960
<v Speaker 1>Let's talk about the commercial business.

0:34:40.040 --> 0:34:43.359
<v Speaker 11>Okay, you told my colleague Lazett Chapman one month ago,

0:34:43.400 --> 0:34:46.680
<v Speaker 11>almost of the day quote, we don't know what to

0:34:46.719 --> 0:34:49.680
<v Speaker 11>do with the onslaught of demand in the commercial context.

0:34:49.680 --> 0:34:52.080
<v Speaker 11>Do you know one month on what to do now?

0:34:52.600 --> 0:34:52.680
<v Speaker 3>No?

0:34:53.080 --> 0:34:54.920
<v Speaker 1>I mean, if you're going to see a boot camp

0:34:55.120 --> 0:34:57.480
<v Speaker 1>here a series of things we've had to you know,

0:34:57.520 --> 0:34:59.439
<v Speaker 1>we haven't been able to meet demand. We've had to

0:34:59.480 --> 0:35:03.120
<v Speaker 1>tell people we couldn't accommodate them. We have hundreds of

0:35:03.160 --> 0:35:05.920
<v Speaker 1>people coming, not just people but leaders of industry. And

0:35:06.040 --> 0:35:08.320
<v Speaker 1>if you just look at it from the internal dynamics

0:35:08.320 --> 0:35:10.320
<v Speaker 1>of how do you deal with the contracting, how do

0:35:10.360 --> 0:35:13.080
<v Speaker 1>you deal with the implementation, It's true these things have

0:35:13.160 --> 0:35:15.520
<v Speaker 1>gone from taking us three months to four hours.

0:35:16.040 --> 0:35:18.200
<v Speaker 11>But it's also true, but the idea is you cram

0:35:18.320 --> 0:35:20.480
<v Speaker 11>four months work worth of work into the day in

0:35:20.520 --> 0:35:21.320
<v Speaker 11>these boot camps.

0:35:21.360 --> 0:35:25.000
<v Speaker 1>Right, It is not even a day. It's hours and

0:35:25.040 --> 0:35:25.920
<v Speaker 1>so and so.

0:35:26.040 --> 0:35:29.799
<v Speaker 11>Why why is that importance, Palenteer, Why did you go

0:35:29.920 --> 0:35:30.720
<v Speaker 11>down that route?

0:35:30.800 --> 0:35:33.319
<v Speaker 1>Well, the most important reason it's important to palent here

0:35:33.440 --> 0:35:35.960
<v Speaker 1>is we can fight with people about power points and

0:35:36.000 --> 0:35:37.520
<v Speaker 1>their ability to do Why.

0:35:37.480 --> 0:35:39.719
<v Speaker 11>Do you keep bringing up powerpoints? Is the point you're

0:35:39.760 --> 0:35:42.640
<v Speaker 11>making that your competitors go in with a debt. Absolutely,

0:35:42.680 --> 0:35:44.640
<v Speaker 11>this is what we'll do. But they don't have a product.

0:35:45.840 --> 0:35:48.080
<v Speaker 1>Well, I'm not saying anything. What I'm really saying is

0:35:48.120 --> 0:35:49.719
<v Speaker 1>if you have it, what did you said, power co

0:35:49.840 --> 0:35:52.360
<v Speaker 1>It's many times exactly. So what I'm telling to everyone

0:35:52.400 --> 0:35:55.640
<v Speaker 1>there is like they may have a product, we're showing

0:35:55.680 --> 0:35:57.960
<v Speaker 1>you our product. Okay, I can't comment about where they

0:35:57.960 --> 0:36:00.520
<v Speaker 1>have a product. I can't tell you they're bare buttoned

0:36:00.600 --> 0:36:03.560
<v Speaker 1>up and not showing any leg We show our product.

0:36:03.840 --> 0:36:06.040
<v Speaker 1>And why is it important? Yes, why it's important. I'm

0:36:06.040 --> 0:36:08.640
<v Speaker 1>telling you why it's important because a people fight us,

0:36:08.840 --> 0:36:11.160
<v Speaker 1>or fight enterprises that are doing the most important work

0:36:11.360 --> 0:36:14.480
<v Speaker 1>with slick power points and great steak dinners. We're bad

0:36:14.520 --> 0:36:16.760
<v Speaker 1>at slick power points or even worse at steak dinners.

0:36:17.040 --> 0:36:19.440
<v Speaker 1>We don't play golf. What we do do is we

0:36:19.480 --> 0:36:23.040
<v Speaker 1>play software. We will put if you want to actually compete,

0:36:23.239 --> 0:36:26.919
<v Speaker 1>compete on your product and what's very special? And yes,

0:36:26.960 --> 0:36:29.880
<v Speaker 1>do I enjoy humiliating people who have better steak dinners

0:36:29.920 --> 0:36:32.239
<v Speaker 1>and sharp ourn eyes and better at golf? So yes,

0:36:32.280 --> 0:36:34.440
<v Speaker 1>I do you know what, I really I really like

0:36:34.520 --> 0:36:36.480
<v Speaker 1>that we win in that way. It makes me very happy,

0:36:36.560 --> 0:36:39.319
<v Speaker 1>and it makes our clients happy because let me sorry,

0:36:39.400 --> 0:36:40.040
<v Speaker 1>let me finish.

0:36:39.840 --> 0:36:42.840
<v Speaker 11>Saying, but we're getting closed great well the people.

0:36:43.080 --> 0:36:46.959
<v Speaker 1>And why are our clients happy Because American industry knows

0:36:46.960 --> 0:36:49.560
<v Speaker 1>that this is a structural advantage and that needs the

0:36:49.600 --> 0:36:52.920
<v Speaker 1>best products. And why is the boot camp overrun? Because

0:36:53.080 --> 0:36:55.880
<v Speaker 1>the clients themselves are tired of these damn steak dinners

0:36:56.040 --> 0:36:58.919
<v Speaker 1>and the golf. They want to see products that actually work,

0:36:59.120 --> 0:37:01.200
<v Speaker 1>that actually live up to what people are saying. What

0:37:01.640 --> 0:37:04.440
<v Speaker 1>are people saying? You will transform your enterprise. You'll make

0:37:04.480 --> 0:37:06.640
<v Speaker 1>it cheaper to run your enterprise, that you'll make it

0:37:06.680 --> 0:37:08.959
<v Speaker 1>safer to run the enterprise. You'll be able to track

0:37:09.000 --> 0:37:11.400
<v Speaker 1>what you're doing, and you'll be able to uplift workers

0:37:11.440 --> 0:37:13.920
<v Speaker 1>who formerly only could be engineers, and now they can

0:37:14.000 --> 0:37:16.200
<v Speaker 1>be everywhere. And by the way, you can do all

0:37:16.280 --> 0:37:19.080
<v Speaker 1>this in America. You can manufacture like you or manufacturing

0:37:19.160 --> 0:37:22.279
<v Speaker 1>Japan and Taiwan. In America, you can use workers that

0:37:22.440 --> 0:37:25.000
<v Speaker 1>used to have to be engineers right here in this country.

0:37:25.280 --> 0:37:27.959
<v Speaker 1>And why is it? It's also fun for Poundier because

0:37:28.000 --> 0:37:30.560
<v Speaker 1>we are winning, Alex, I've got to ask you before

0:37:30.560 --> 0:37:31.240
<v Speaker 1>I lose you.

0:37:31.520 --> 0:37:34.480
<v Speaker 11>Actually, the most common question that I get to ask

0:37:34.520 --> 0:37:37.080
<v Speaker 11>you from the audience I post on social media coming

0:37:37.120 --> 0:37:40.759
<v Speaker 11>on is when will there be a direct to consumer

0:37:41.320 --> 0:37:44.360
<v Speaker 11>or a I don't even know what we would call it,

0:37:44.080 --> 0:37:48.359
<v Speaker 11>but a publicly available version of AIP And if that would, let.

0:37:48.280 --> 0:37:48.839
<v Speaker 3>Me tell you.

0:37:48.880 --> 0:37:51.240
<v Speaker 11>Because they see you as a leader in the space

0:37:51.440 --> 0:37:55.480
<v Speaker 11>the Palenteer, not necessarily you as an individual whatever.

0:37:55.520 --> 0:37:59.719
<v Speaker 1>They see this happy But okay, look, Palier, you are

0:37:59.760 --> 0:38:02.000
<v Speaker 1>seeing the tip of the iceberg when you are buying

0:38:02.000 --> 0:38:04.120
<v Speaker 1>our product. Now we've been working on these things.

0:38:04.120 --> 0:38:06.279
<v Speaker 11>You can't buy it if you're a person off the street.

0:38:06.760 --> 0:38:08.600
<v Speaker 1>You are seeing the tip of the iceberg of our

0:38:08.600 --> 0:38:11.200
<v Speaker 1>product development. And we are going to show more and

0:38:11.239 --> 0:38:13.520
<v Speaker 1>more and more of what we have and I think people,

0:38:13.680 --> 0:38:15.239
<v Speaker 1>and I would also like a lot of those people

0:38:15.320 --> 0:38:17.359
<v Speaker 1>asking the question, by the way, are non academic. They

0:38:17.360 --> 0:38:20.439
<v Speaker 1>are investors in Palenteer and they have supported us when

0:38:20.440 --> 0:38:22.080
<v Speaker 1>we were down on the ropes, and those are the

0:38:22.120 --> 0:38:23.239
<v Speaker 1>people that we are fighting for.

0:38:24.239 --> 0:38:28.400
<v Speaker 2>Anyone else thinking about steak Dinners right now? Talenteer CEO

0:38:28.440 --> 0:38:32.560
<v Speaker 2>co founder Alex Kupp what an interview ed Ludlowe.

0:38:32.800 --> 0:38:34.560
<v Speaker 3>Great work. Meanwhile, look, we've.

0:38:34.440 --> 0:38:37.160
<v Speaker 2>Got to pivot and think about AI and ultimately getting

0:38:37.200 --> 0:38:40.960
<v Speaker 2>into the hands of customers right more, How are people.

0:38:40.760 --> 0:38:41.759
<v Speaker 3>Using generative AI?

0:38:42.120 --> 0:38:45.560
<v Speaker 2>Amazon Web Services has just launched a new GENI competency

0:38:45.600 --> 0:38:49.279
<v Speaker 2>program for partners, aiming to basically help customers figure out

0:38:49.440 --> 0:38:52.320
<v Speaker 2>which partner to use, what product to be actually using

0:38:52.400 --> 0:38:56.719
<v Speaker 2>within their business and have generative AI suit them and

0:38:56.800 --> 0:38:58.080
<v Speaker 2>not just something that they aspire to.

0:38:58.200 --> 0:38:59.919
<v Speaker 3>For more about this program and what it means.

0:39:00.080 --> 0:39:03.200
<v Speaker 2>It's launch partners including the likes of Accentiakahir, Moga, dB,

0:39:03.440 --> 0:39:05.880
<v Speaker 2>Hugging Face, and Video to name but a few, us

0:39:05.920 --> 0:39:10.000
<v Speaker 2>bringing Amazon Web Services Vice President Worldwide Channels and Alliances

0:39:10.280 --> 0:39:10.920
<v Speaker 2>Rubert Borno.

0:39:11.360 --> 0:39:12.680
<v Speaker 3>Rubert I love.

0:39:12.560 --> 0:39:16.080
<v Speaker 2>This focus basically on the fat that you're saying.

0:39:15.840 --> 0:39:18.480
<v Speaker 3>This can't be an aspiration. People are going to be able.

0:39:18.280 --> 0:39:21.200
<v Speaker 2>To use it practically in their businesses. How are they

0:39:21.320 --> 0:39:24.680
<v Speaker 2>using aws and the offerings of large language models.

0:39:24.719 --> 0:39:26.480
<v Speaker 3>You have to change their businesses.

0:39:27.760 --> 0:39:30.040
<v Speaker 7>Caroline First of all, thank you so much for having

0:39:30.040 --> 0:39:32.640
<v Speaker 7>me today. I'm really excited to be coming to you

0:39:32.719 --> 0:39:35.920
<v Speaker 7>live from Seattle, where we're hosting two hundred of a

0:39:36.200 --> 0:39:41.160
<v Speaker 7>WUS's most strategic partners, and we've launched just this week,

0:39:41.320 --> 0:39:44.640
<v Speaker 7>the Generative AI Competency for our partners that you mentioned.

0:39:44.880 --> 0:39:47.880
<v Speaker 7>I'm so excited that we have over forty five launch

0:39:47.960 --> 0:39:51.439
<v Speaker 7>partners and they're doing exactly what you talked about, which

0:39:51.480 --> 0:39:56.280
<v Speaker 7>is demonstrating technical expertise and generative AI technologies. We're talking

0:39:56.280 --> 0:40:00.480
<v Speaker 7>about technologies like Amazon Bedrock, Amazon Stagemaker, and joh Start

0:40:00.480 --> 0:40:01.200
<v Speaker 7>in Amazon Q.

0:40:01.800 --> 0:40:02.920
<v Speaker 4>And why is that important?

0:40:03.280 --> 0:40:08.279
<v Speaker 7>Because these partners have demonstrated not only experience and knowledge

0:40:08.280 --> 0:40:13.120
<v Speaker 7>of those technologies, but customer success, customer success with multiple

0:40:13.200 --> 0:40:17.400
<v Speaker 7>production ready use cases. So we're excited to showcase that

0:40:17.440 --> 0:40:20.960
<v Speaker 7>to customers because customers right now are thinking, I've heard

0:40:21.000 --> 0:40:24.360
<v Speaker 7>about generator AI. I know it can transform my business,

0:40:24.560 --> 0:40:26.239
<v Speaker 7>but who can I work with and what are the

0:40:26.280 --> 0:40:27.640
<v Speaker 7>right use cases I can use?

0:40:29.200 --> 0:40:32.760
<v Speaker 2>Give us some standouts where we're already seeing use cases.

0:40:32.880 --> 0:40:37.760
<v Speaker 2>How are people using Claud Threethropic's latest set of models

0:40:37.840 --> 0:40:39.640
<v Speaker 2>within their business to change things?

0:40:40.920 --> 0:40:43.600
<v Speaker 7>So the Anthropic Claud three announcement that we made this

0:40:43.640 --> 0:40:47.319
<v Speaker 7>week is really exciting. Claude Three's Opus model is the

0:40:47.320 --> 0:40:50.759
<v Speaker 7>most intelligent model on the market today and it runs

0:40:50.800 --> 0:40:55.320
<v Speaker 7>on AWS Trainium and Inferentia, giving it the best price performance.

0:40:55.560 --> 0:40:58.799
<v Speaker 7>But why is this interesting? What it allows customers to do.

0:40:59.000 --> 0:41:02.480
<v Speaker 7>Customers like crowd Strike, which is a leading cybersecurity customer

0:41:02.600 --> 0:41:05.759
<v Speaker 7>also an AWS partner, they use it to power their

0:41:05.760 --> 0:41:09.840
<v Speaker 7>own generative AI capabilities and they're able to then handle

0:41:09.920 --> 0:41:13.879
<v Speaker 7>things like large prompts and provide scale and safety. That's

0:41:13.920 --> 0:41:18.080
<v Speaker 7>something really critical to how AWS views generative AI. And

0:41:18.120 --> 0:41:20.520
<v Speaker 7>I'll give you a couple of other examples. One of

0:41:20.600 --> 0:41:24.720
<v Speaker 7>our competency launch partner's Mission Cloud worked with a company

0:41:24.760 --> 0:41:28.200
<v Speaker 7>called Magell and TV and this company has a large

0:41:28.239 --> 0:41:32.240
<v Speaker 7>library of documentaries that they make accessible to a global audience,

0:41:32.600 --> 0:41:34.680
<v Speaker 7>and what they wanted to do was to enable that

0:41:34.840 --> 0:41:39.200
<v Speaker 7>audience to achieve to be able to watch those documentaries

0:41:39.280 --> 0:41:44.480
<v Speaker 7>in every language. Both have transcribed the translations and also

0:41:44.680 --> 0:41:48.320
<v Speaker 7>foreign language dubbing. Now that's a really tough problem because

0:41:48.320 --> 0:41:50.680
<v Speaker 7>you've got to have an address slang, you've got to

0:41:50.719 --> 0:41:54.240
<v Speaker 7>address profanity, you've got to address inflections for the voice dubbing.

0:41:54.520 --> 0:41:57.400
<v Speaker 7>It was cost prohibitive to do the old way, it

0:41:57.400 --> 0:42:00.960
<v Speaker 7>costs about twenty dollars per minute. With AI, they were

0:42:01.000 --> 0:42:03.240
<v Speaker 7>able to reduce that down to less than a dollar

0:42:03.280 --> 0:42:05.959
<v Speaker 7>per minute. That allowed Magel and TV to now reach

0:42:06.160 --> 0:42:10.520
<v Speaker 7>a global audience nearly instantly with that technology.

0:42:10.560 --> 0:42:12.759
<v Speaker 3>But I love that tangible example.

0:42:13.120 --> 0:42:15.000
<v Speaker 2>What is also at the forefront of people's minds, and

0:42:15.000 --> 0:42:17.520
<v Speaker 2>we've only got a minute left, is safety. How do

0:42:17.560 --> 0:42:21.120
<v Speaker 2>you ensure that the offerings you're providing through bedrock aren't

0:42:21.360 --> 0:42:23.480
<v Speaker 2>going to be making things up, but also more broadly

0:42:23.560 --> 0:42:24.959
<v Speaker 2>have ethical implications.

0:42:26.120 --> 0:42:29.040
<v Speaker 7>It's a great question, and responsible AI is core to

0:42:29.239 --> 0:42:34.200
<v Speaker 7>every service from AWS. We have been designing security integrated

0:42:34.239 --> 0:42:36.960
<v Speaker 7>into the products from the beginning, and it is more

0:42:36.960 --> 0:42:39.520
<v Speaker 7>important with generative AI than it has ever been before.

0:42:39.880 --> 0:42:43.959
<v Speaker 7>We've heard customers and partners state concerns about generative AI.

0:42:44.360 --> 0:42:47.440
<v Speaker 7>Customers have the ability to aggregate data and insights from

0:42:47.480 --> 0:42:50.799
<v Speaker 7>different sources, and so that's why we designed security in

0:42:50.840 --> 0:42:53.319
<v Speaker 7>from the get go, to make sure there are guardrails

0:42:53.520 --> 0:42:56.160
<v Speaker 7>so that individuals who should have access to the data

0:42:56.400 --> 0:43:00.640
<v Speaker 7>think financial data and other proprietary information have access to it,

0:43:00.680 --> 0:43:02.960
<v Speaker 7>and those that shouldn't can still make use of the

0:43:03.000 --> 0:43:06.320
<v Speaker 7>general of AI tools, but have those guardrails based on

0:43:06.400 --> 0:43:09.200
<v Speaker 7>the data they're allowed to have access to. So providing

0:43:09.320 --> 0:43:12.960
<v Speaker 7>policy and governance to ensure that enterprises are able to

0:43:12.960 --> 0:43:15.600
<v Speaker 7>protect their information. I think this is critical for every

0:43:15.719 --> 0:43:18.799
<v Speaker 7>enterprise to think through and it's going to be the

0:43:18.840 --> 0:43:21.080
<v Speaker 7>way that we're able to ensure that gener of AI

0:43:21.160 --> 0:43:22.520
<v Speaker 7>is adopted in mass.

0:43:23.800 --> 0:43:26.239
<v Speaker 2>Ruber great to have time speaking with you on the

0:43:26.320 --> 0:43:29.120
<v Speaker 2>day that you're announcing this, of course, RUBERBORNO of Amazon

0:43:29.160 --> 0:43:32.239
<v Speaker 2>Web Services, we appreciate it. Meanwhile, that does it for

0:43:32.280 --> 0:43:34.840
<v Speaker 2>this addition of bloom bag technology. Do not forget to

0:43:34.920 --> 0:43:36.800
<v Speaker 2>check out our podcast. You want to go and listen

0:43:36.800 --> 0:43:42.400
<v Speaker 2>back to that Alex Karp conversation. This is bloombag technology.