WEBVTT - Inflation Cools Down and Databricks' AI Plan

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<v Speaker 1>From Marhard where Innovation of Money and Power Collie in

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<v Speaker 1>Silicon Valley, NBN.

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<v Speaker 2>This is Bloomberg Technology with Caroline Hyde and Ed loved Love.

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<v Speaker 3>I'm Caroline Heide of Bloomberg's World headquarters in New York

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<v Speaker 3>and I Mad Lovelow in San Francisco.

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<v Speaker 4>This is Bloomberg Technology.

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<v Speaker 5>Coming up.

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<v Speaker 3>We'll talk the state of the digital consumer as inflation shoes.

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<v Speaker 5>Some signs of moderation, with a founder of course, joining us.

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<v Speaker 3>CEO of Mickmac, a global e commerce analytics platform.

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<v Speaker 6>Plass will sit down for an exclusive conversation with the

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<v Speaker 6>CEO of Data Breaks, one of the fastest growing software companies,

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<v Speaker 6>to discuss how they're utilizing AI to power their business.

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<v Speaker 3>And sticking with AI, we break down the earning some

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<v Speaker 3>oracle as the AI frenzy spurs cloud demand. Plus we

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<v Speaker 3>look at how salesforce so focusing in on artificial intelligence.

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<v Speaker 3>But first let's focus in on these markets because we

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<v Speaker 3>have some calling some signs of calling in inflation. If

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<v Speaker 3>you look at not the core CPI, but look at

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<v Speaker 3>the main overall print, we're back at four percent low

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<v Speaker 3>as that we've had since March twenty twenty one. So

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<v Speaker 3>we are seeing some optimism the FED will holds and

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<v Speaker 3>stand steady for the month of June. We're seeing Na's

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<v Speaker 3>that cup about five tens percent, benefiting from that risk

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<v Speaker 3>on feel. But look, this inflationary pressure is being felt elsewhere.

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<v Speaker 3>We think about the UK at the moment, yields absolutely

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<v Speaker 3>spiking and I want to show what asset is still

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<v Speaker 3>trading there, the pound versus the US dollar, higher versus

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<v Speaker 3>US dollars. We think the FED might pause, but all

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<v Speaker 3>eyes on maybe even a six percent level when you're

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<v Speaker 3>thinking of central bank policy over at the Bank of England.

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<v Speaker 3>Interesting of course, moves coming from China. They're going to

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<v Speaker 3>the opposite direction. Instead of curtailing inflation, they're looking to

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<v Speaker 3>speed up their economy. They're cutting rates that were surprise

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<v Speaker 3>overnight that really boid some of the commodities markets. We're

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<v Speaker 3>seeing up more than three percent in oil. But moving

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<v Speaker 3>on to one of our favorite more risk assets in

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<v Speaker 3>the world of technology, let's look at what's happening in

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<v Speaker 3>the world of crypto. Look, not dramatic moves, but ill

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<v Speaker 3>pressure remaining on bitcoin. We're atwred and seventy seven right now.

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<v Speaker 3>This is even with a weaker dollar ed so clearly

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<v Speaker 3>some of this regulatory our anxiety is still pressuring the

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<v Speaker 3>main crypto asset ed.

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<v Speaker 6>Yeah, when it comes to individual movers, that CPI print

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<v Speaker 6>and the idea around the FED is having some impact here.

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<v Speaker 6>But there's one name I'm looking at, which is Tesla,

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<v Speaker 6>up for a thirteenth consecutive session, longest streak of gains

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<v Speaker 6>on record trading at a September high. One of the

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<v Speaker 6>kind of news events of the last twenty four hours

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<v Speaker 6>was all those charging names coming out all at once,

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<v Speaker 6>basically Yessay afternoon saying yep, you know what, we're going

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<v Speaker 6>to adopt the NCACS standard, kind of pivoting to profressure

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<v Speaker 6>and momentum in that space. A few stories that we're

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<v Speaker 6>going to cover throughout the show playing out in equity markets.

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<v Speaker 6>When it comes to movers as well, you mentioned Oracle

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<v Speaker 6>and Salesforce. Oracle moving to the upside one point three percent.

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<v Speaker 6>AI is driving cloud momentum. We'll get deep into those

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<v Speaker 6>numbers with bion this Anna Ragrana, but interesting AI story

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<v Speaker 6>with Salesforce as well, it's moving to the downside one

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<v Speaker 6>and a half percent. They had this event where they

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<v Speaker 6>kind of explained in real terms how their work in

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<v Speaker 6>AI is going to better their existing suite of products.

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<v Speaker 6>Remember there was also a referendum essentially on Mark Benioff's

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<v Speaker 6>popularity with investors, which we can talk about. We're about

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<v Speaker 6>to go to Miami to Florida and talk about Trump.

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<v Speaker 6>So I just note this stock rumble. The conservative or

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<v Speaker 6>right leaning social platform down four and a half percent.

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<v Speaker 6>With the president in focus, and what's happening in court?

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<v Speaker 3>Yeah, former President Donald Trump is in focus. Let's go

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<v Speaker 3>straight there, just for an update really on what's happening.

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<v Speaker 3>We're expecting the appearance in the Miami court today after

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<v Speaker 3>being indicted on thirty seven counts of allegedly mishandling classified documents.

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<v Speaker 3>As of course, after leaving the White House, Bloomberg's Kaylee

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<v Speaker 3>Lines is outside the courthouse. And when are we anticipating

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<v Speaker 3>in arrival Kayley.

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<v Speaker 7>Well, three pm Eastern time is when he is due

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<v Speaker 7>to report here at the Federal Courthouse. We may not

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<v Speaker 7>actually see him arrive, though, it's expected that he will

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<v Speaker 7>enter the Fort House via the underground garage, but once

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<v Speaker 7>inside he will be arrested and processed just like anyone

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<v Speaker 7>else who has been indicted on federal criminal charges. Its

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<v Speaker 7>potential that he could have his fingerprint and mugshot taken.

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<v Speaker 7>He may even need to surrender his passport. Then he

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<v Speaker 7>will go up to the thirteenth floor of this building

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<v Speaker 7>behind me a pear before a judge and is expected

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<v Speaker 7>to plead not guilty. Of course this this indictment came

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<v Speaker 7>down last week. The president has maintained that he is innocent,

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<v Speaker 7>said that this is a witch hunt, election interference at

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<v Speaker 7>the highest level, and that is likely the kind of

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<v Speaker 7>messaging he is likely to take with him from Miami

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<v Speaker 7>back up to Bedminster, New Jersey this evening, where he

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<v Speaker 7>will be speaking at his golf club at eight fifteen

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<v Speaker 7>pm Eastern Time, addressing his supporters, supporters and holding a

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<v Speaker 7>donor event. His campaign expects that he could raise two

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<v Speaker 7>million dollars at that event tonight, which is taking place

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<v Speaker 7>just hours after he will become the first former president

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<v Speaker 7>in history ever to be arranged on federal criminal charges.

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<v Speaker 6>Kaylee, local police, one of which has just walked past

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<v Speaker 6>you in that shot, and authorities preparing for some demonstration

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<v Speaker 6>right what's the scene like on the ground right now

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<v Speaker 6>where you are? Well?

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<v Speaker 7>The police chief ahead of today has sent from five

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<v Speaker 7>thousand up to as many as fifty thousand demonstrators could

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<v Speaker 7>be here today and as a result, there is a

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<v Speaker 7>pretty heavy security presence. There is a lot of police,

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<v Speaker 7>There are perimeters set up all around, and there have

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<v Speaker 7>been I would say several dozen of both pro Trump

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<v Speaker 7>and anti Trump demonstrators here today. There is a lot

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<v Speaker 7>of Trump flags, people wearing Make America Great Again gear,

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<v Speaker 7>a couple that have T shirts on that indicate Trump

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<v Speaker 7>is not guilty, that Trump won the election, but there

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<v Speaker 7>are some anti Trump people as well, holding up signs

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<v Speaker 7>like lock him Up. So far, though, it does seem peaceful.

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<v Speaker 7>President Trump, of course, had called for his supporters to

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<v Speaker 7>show up and peacefully protest. It doesn't seem like there

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<v Speaker 7>is too much disruptive activity that is taking place here

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<v Speaker 7>today at this point.

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<v Speaker 6>All right, Bloombergs Katie Lines will be bringing us the

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<v Speaker 6>latest throughout the day from Miami, Florida. But just gave

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<v Speaker 6>us the latest here on Bloomberg Technology. Thank you so much.

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<v Speaker 6>Now elsewhere in the world of eco head line CPI

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<v Speaker 6>numbers inflation easing to the lowest levels since March with

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<v Speaker 6>twenty twenty one. Let's get to the view from the

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<v Speaker 6>founder of mickmac a global e commerce enablement and an

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<v Speaker 6>analytics platform for multichannel brands showing us now Rachel Tippograph,

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<v Speaker 6>who is the MICKMAC founder and CEO, at the street

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<v Speaker 6>level or the online level, what does that inflation print

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<v Speaker 6>tell you about the direction of travel right now?

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<v Speaker 4>Rachel?

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<v Speaker 8>Yeah, And you know, with the results just coming out,

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<v Speaker 8>it's really interesting to think about why we're saying inflation

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<v Speaker 8>might be going down. If we look at food and

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<v Speaker 8>consumer good categories like appliances, those have been relatively flat.

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<v Speaker 8>But when we remove that from the equation, inflation is

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<v Speaker 8>still going up. And the reason why we're seeing categories

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<v Speaker 8>like food and appliances stay relatively flat is that for

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<v Speaker 8>the last few quarters, brand manufacturers have been raising praises,

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<v Speaker 8>and the reason why they've been reached prices is that

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<v Speaker 8>it's more extensive than ever before to bring consumer goods

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<v Speaker 8>to market, to keep them on the shelf, and to

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<v Speaker 8>market them to consumers. To offset those margins, they've been

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<v Speaker 8>raising prices, which is why at NCKMAC we feel core

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<v Speaker 8>inflation is more indicative of what's happening in the general economy,

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<v Speaker 8>and when we look at that inflation continuing to go

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<v Speaker 8>up against e commerce conversion rates. What we're seeing at

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<v Speaker 8>Mickmac is that year over year e commerce conversion rates

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<v Speaker 8>have been declining since twenty twenty And to put it

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<v Speaker 8>into context, in twenty twenty one, the average e comm

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<v Speaker 8>conversion rate we saw at Mickmac was seven point four percent.

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<v Speaker 8>We're now halfway through twenty twenty three and the average

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<v Speaker 8>e comm conversion rate is at four point eight percent.

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<v Speaker 8>So it's showing that consumers are more trepidacious to buying

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<v Speaker 8>right now.

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<v Speaker 3>Yeah, what does that mean in terms of companies trepidation

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<v Speaker 3>about marketing? An interesting headline just across the Brimberg is

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<v Speaker 3>going to open a pop up restaurant of Parery call

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<v Speaker 3>Netflix bytes in La. I mean, of course that's a

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<v Speaker 3>marketing focus. It's itself a company that's taking in advertising,

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<v Speaker 3>in fact dolos from other companies. Now, how willing and

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<v Speaker 3>able are companies to experiment in this environment if the

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<v Speaker 3>conversion rates up pretty low?

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<v Speaker 9>Yeah?

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<v Speaker 8>I think for most big brands and brands that understand

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<v Speaker 8>what it takes to stand the test of time, you

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<v Speaker 8>have to advertise during trying economic times. Look in Procter Gamble,

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<v Speaker 8>they've proven that over one hundred years that being said,

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<v Speaker 8>every dollar is being scrutinized right now by folks that

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<v Speaker 8>hold the title like CFO, and they're holding the marketing

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<v Speaker 8>teams accountable to driving business results, which has created a

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<v Speaker 8>perfect tailwind for the rise of retail media. Meaning meta's

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<v Speaker 8>biggest competitor isn't just Snap or TikTok, it's also Amazon,

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<v Speaker 8>Target Walmart. And what the retailers have at their advantage

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<v Speaker 8>is consumer purchase data and their ability to monetize that

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<v Speaker 8>data and say, hey, we know who needs to replenish

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<v Speaker 8>diapers right now, So if you have one dollar to

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<v Speaker 8>spend to market diapers, you should give it to us

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<v Speaker 8>over a platform that may not know that. So from

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<v Speaker 8>a marketing standpoint, we're continuing to see brands spend, but

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<v Speaker 8>they're spending in more strategic channels that have more visibility

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<v Speaker 8>into the end sales data so they can understand marketing effectiveness.

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<v Speaker 6>Rachel, we're showing on the screen, you know, the difference

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<v Speaker 6>in direction of travel between goods and services inflation, and

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<v Speaker 6>you learn in a recessionary and in inflation re environment that.

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<v Speaker 4>Who is leading who.

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<v Speaker 6>You know that there's a response to the consumer and

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<v Speaker 6>their change in behavior, but there's also the reaction from

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<v Speaker 6>the retailers themselves based on what you see.

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<v Speaker 4>In the market.

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<v Speaker 6>Who moves more quickly, you know, the consumer to change

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<v Speaker 6>habits or the online retailer to respond to them.

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<v Speaker 8>Yeah, it's it's a given a take per your point.

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<v Speaker 8>But right now, what we're seeing into in terms of

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<v Speaker 8>how consumers are spending is they're really spending on essentials.

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<v Speaker 8>At Nickmac, we have over three thousand retailers in the

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<v Speaker 8>network and we collect basket level sales data, and so

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<v Speaker 8>we can tell you right now what America's buying bottled water,

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<v Speaker 8>granola bars, teeth whitening kits, press on nails, and weed killers.

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<v Speaker 8>And what that shows you is, hey, these are essential items.

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<v Speaker 8>But when it comes to things like beauty, for example,

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<v Speaker 8>you could go to the salon to get your nails done,

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<v Speaker 8>or you could buy on press on nails at Walmart.

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<v Speaker 8>And so in some of these discretionary categories, we are

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<v Speaker 8>seeing consumers be more choosy with the things that they're

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<v Speaker 8>willing to do on their own versus go to a

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<v Speaker 8>more service oriented place.

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<v Speaker 3>A boy, if I served one more press on nail

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<v Speaker 3>kit Instagram marketing, I'm going to explode, so clearly that's

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<v Speaker 3>the place this is right now, mus you got them

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<v Speaker 3>all on Rachel Pohograph. Thank you so much spending some

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<v Speaker 3>time with us. I think mac founder and CEO really interesting.

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<v Speaker 3>Their weekkiller sexy stuff. Meanwhile, coming up and we're going

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<v Speaker 3>to be sitting down for an exclusive conversation this year

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<v Speaker 3>of Data Bricks as they acquire Rubicon to stealth infrastructure startup.

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<v Speaker 5>It's focusing on storage systems that's key for AI. So

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<v Speaker 5>that's the CEO. Meanwhile, watching shares of Apple.

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<v Speaker 3>The company's stock is been downgraded to neutral from buy

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<v Speaker 3>by UBS, which.

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<v Speaker 5>The analysts is citing soft demand.

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<v Speaker 3>Outlook for the iPhone and in particular for services growth

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<v Speaker 3>as well. And it's notable that this downgrade is pushing

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<v Speaker 3>bullish analysts ratings on the stock to a two year

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<v Speaker 3>low of three ten percent. Remember it was a record

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<v Speaker 3>high yesterday.

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<v Speaker 9>This's Atlmberg.

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<v Speaker 6>Data Bricks is announcing it's acquired Rubicon, a stealth infrastructure

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<v Speaker 6>startup focusing on storage systems for AI. Data Bricks is

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<v Speaker 6>used by more than nine thousand organizations worldwide who rely

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<v Speaker 6>on the companies lake House platform to unify their data,

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<v Speaker 6>analytics and AI. The startup also hit key milestones for

0:12:06.559 --> 0:12:09.520
<v Speaker 6>revenue and top line growth. Joining us now Data Brick

0:12:09.600 --> 0:12:12.880
<v Speaker 6>CEO Ali Godzi a lot to go over.

0:12:12.960 --> 0:12:13.720
<v Speaker 4>I'm learning a lot.

0:12:13.640 --> 0:12:16.840
<v Speaker 6>About data breaks this morning. Let's start with the top line.

0:12:17.360 --> 0:12:19.960
<v Speaker 6>You've just closed out a financial year at the end

0:12:20.000 --> 0:12:23.679
<v Speaker 6>of jen hit a billion dollars of revenue, which is

0:12:23.720 --> 0:12:27.640
<v Speaker 6>a milestone. But the growth is really interesting. That makes

0:12:27.679 --> 0:12:30.480
<v Speaker 6>you one of the fastest growing software names out there.

0:12:30.960 --> 0:12:31.880
<v Speaker 4>What's driving it?

0:12:32.800 --> 0:12:33.880
<v Speaker 2>Yeah, it's really tailwinds.

0:12:33.880 --> 0:12:37.520
<v Speaker 10>By the way, it's the fastest growing software if according

0:12:37.520 --> 0:12:40.040
<v Speaker 10>to our records. But what is driving it is really

0:12:40.280 --> 0:12:44.240
<v Speaker 10>we're seeing tailwinds. One around AI. Everyone wants AI now one.

0:12:44.280 --> 0:12:46.320
<v Speaker 10>We've been saying it for ten years that data innai

0:12:46.480 --> 0:12:48.440
<v Speaker 10>is going to be the future, that in every industry

0:12:48.480 --> 0:12:50.839
<v Speaker 10>the winners are going to be data ANAI companies. But

0:12:51.000 --> 0:12:53.800
<v Speaker 10>something happened in November last year and everyone kind of

0:12:53.800 --> 0:12:56.240
<v Speaker 10>realized after chat GPT that this is the future. And

0:12:56.280 --> 0:12:59.080
<v Speaker 10>the second thing is tcoor reduction. People want to cut

0:12:59.120 --> 0:13:02.439
<v Speaker 10>down their costs of data spend and our Lakehouse platform

0:13:02.480 --> 0:13:02.840
<v Speaker 10>helps that.

0:13:04.800 --> 0:13:10.600
<v Speaker 6>Data warehousing SQL is the product. You also sharing some

0:13:10.679 --> 0:13:13.720
<v Speaker 6>financials on that particular product. So I remember when you

0:13:13.720 --> 0:13:16.839
<v Speaker 6>announced it, you know, it's a domain you compete with

0:13:16.920 --> 0:13:20.720
<v Speaker 6>snowflake in. What's driving this growth? Is this a market

0:13:20.760 --> 0:13:21.719
<v Speaker 6>share gain for you?

0:13:22.200 --> 0:13:24.760
<v Speaker 10>Yeah, So we've announced that we now passed one hundred

0:13:24.800 --> 0:13:27.880
<v Speaker 10>million ARR on our data warehousing product that we just

0:13:28.000 --> 0:13:31.280
<v Speaker 10>frankly launched just a year ago. So what's going on

0:13:31.360 --> 0:13:35.200
<v Speaker 10>here is that this Lakehouse paradigm helps organizations cut down

0:13:35.240 --> 0:13:39.360
<v Speaker 10>their cost of data warehousing significantly. And you know, there's

0:13:39.400 --> 0:13:40.959
<v Speaker 10>a tale of two cities. On the one hand side,

0:13:40.960 --> 0:13:42.760
<v Speaker 10>everybody wants AI and they want to spend on AI.

0:13:42.880 --> 0:13:45.640
<v Speaker 10>On the other hand, everyone wants to reduce their cost

0:13:45.800 --> 0:13:48.440
<v Speaker 10>and they want to reduce the spend on data warehousing.

0:13:48.480 --> 0:13:52.160
<v Speaker 10>So it's really that cost tco optimization that's driving that

0:13:52.240 --> 0:13:53.360
<v Speaker 10>tail went behind data.

0:13:53.160 --> 0:13:58.320
<v Speaker 6>Warehousing spent caroline from organic growth to inorganic growth. Ali,

0:13:58.400 --> 0:14:00.000
<v Speaker 6>godseeing data breaks who have been outshot.

0:14:00.320 --> 0:14:03.079
<v Speaker 3>Yeah, I'm interested in that deal, Rubicon. This is all

0:14:03.120 --> 0:14:06.680
<v Speaker 3>about storage systems. You say, it's the backbone of AI. Ali,

0:14:06.760 --> 0:14:09.040
<v Speaker 3>did you have to pay up? I mean, this isn't

0:14:09.080 --> 0:14:11.280
<v Speaker 3>a cheap time to be trying to buy a company

0:14:11.320 --> 0:14:12.160
<v Speaker 3>related to AI.

0:14:12.280 --> 0:14:12.680
<v Speaker 5>Right now?

0:14:13.720 --> 0:14:15.400
<v Speaker 10>Yeah, right now, you have to pay up. That's just

0:14:15.440 --> 0:14:17.840
<v Speaker 10>as simple as it is. And everyone that's doing anything

0:14:17.840 --> 0:14:20.680
<v Speaker 10>with AI. And this was a team that can build

0:14:20.800 --> 0:14:24.520
<v Speaker 10>storage for all kinds of unstructured data. This is the

0:14:24.560 --> 0:14:26.120
<v Speaker 10>oil that fuels AI.

0:14:26.840 --> 0:14:28.640
<v Speaker 2>You know, those are not cheap right now. And this

0:14:28.760 --> 0:14:30.040
<v Speaker 2>is the team that.

0:14:30.080 --> 0:14:32.280
<v Speaker 10>Actually has built it previously at drop.

0:14:32.160 --> 0:14:34.400
<v Speaker 2>Box and before that at Google.

0:14:34.760 --> 0:14:36.200
<v Speaker 10>So this is a team that really knows how to

0:14:36.200 --> 0:14:38.720
<v Speaker 10>build this kind of sort of data systems for AI.

0:14:39.520 --> 0:14:42.840
<v Speaker 10>You know, Sergay and team are really really experienced. So

0:14:42.880 --> 0:14:44.920
<v Speaker 10>we're excited to have them as part of Data Bricks.

0:14:45.360 --> 0:14:48.080
<v Speaker 3>Of course, you, as you said, for the last decade,

0:14:48.120 --> 0:14:50.360
<v Speaker 3>have been telling people the future is data, it's AI.

0:14:50.520 --> 0:14:54.480
<v Speaker 3>Your own well experience two decades in this particular field

0:14:54.520 --> 0:14:56.400
<v Speaker 3>and in particular with deep routes not only in R

0:14:56.480 --> 0:14:59.720
<v Speaker 3>research ALI, but also in open source software, and I'm

0:15:00.040 --> 0:15:02.880
<v Speaker 3>interested in your take and just sort of theoretically at

0:15:02.880 --> 0:15:07.800
<v Speaker 3>the moment, as everyone Warren debates as to whether open AI,

0:15:08.160 --> 0:15:10.440
<v Speaker 3>Microsoft Google going to eat the entire lunch when it

0:15:10.440 --> 0:15:12.640
<v Speaker 3>comes to large language models when it comes to application,

0:15:12.880 --> 0:15:15.160
<v Speaker 3>and whether the open source is actually already showing that

0:15:15.160 --> 0:15:16.120
<v Speaker 3>they aren't any modes.

0:15:16.680 --> 0:15:18.680
<v Speaker 5>Where do you stand on this divide?

0:15:19.640 --> 0:15:21.040
<v Speaker 2>Yeah, I would say two things. I would say. On

0:15:21.120 --> 0:15:23.000
<v Speaker 2>the one hand, We absolutely.

0:15:22.640 --> 0:15:27.640
<v Speaker 10>Want open source to flourish because as AI becomes more

0:15:27.640 --> 0:15:29.760
<v Speaker 10>and more powerful, we want the researchers around the world

0:15:29.760 --> 0:15:32.200
<v Speaker 10>to understand this technology. We don't want just one or

0:15:32.240 --> 0:15:34.040
<v Speaker 10>two companies to sit on top of this and there

0:15:34.040 --> 0:15:35.760
<v Speaker 10>are only ones that know if.

0:15:35.680 --> 0:15:36.880
<v Speaker 2>It's going wrong or right.

0:15:37.320 --> 0:15:41.080
<v Speaker 10>We want researchers the whole world to understand the models.

0:15:41.120 --> 0:15:43.360
<v Speaker 10>What can go around well, you know, how do we

0:15:43.440 --> 0:15:46.000
<v Speaker 10>align them with US US one. The second thing is

0:15:46.320 --> 0:15:48.720
<v Speaker 10>I actually think it's impossible for one or two companies

0:15:48.760 --> 0:15:51.760
<v Speaker 10>to keep up with the competition. Every university on the planet,

0:15:51.760 --> 0:15:54.320
<v Speaker 10>every researcher now in the data field, in the tech field,

0:15:54.360 --> 0:15:56.560
<v Speaker 10>is focused on llm's generative AI.

0:15:56.800 --> 0:15:58.360
<v Speaker 2>I've never seen anything like it before.

0:15:58.520 --> 0:16:00.400
<v Speaker 10>So it's going to be very hard for one company

0:16:00.400 --> 0:16:03.040
<v Speaker 10>to keep a proprietary model that they say is ahead

0:16:03.040 --> 0:16:05.640
<v Speaker 10>of everybody else, and it's ahead of open source. So

0:16:05.920 --> 0:16:08.240
<v Speaker 10>and we've seen this every day we're having new results

0:16:08.240 --> 0:16:10.280
<v Speaker 10>in open source. You know, I follow it very closely.

0:16:10.440 --> 0:16:13.120
<v Speaker 10>It's no longer months, it's no longer weeks, it's every day,

0:16:13.480 --> 0:16:16.080
<v Speaker 10>multiple times a day, there's a new breakthrough result. So

0:16:16.120 --> 0:16:18.239
<v Speaker 10>I think it's going to be very hard for proprietary

0:16:18.640 --> 0:16:21.560
<v Speaker 10>closed companies to say, ahead, what is.

0:16:21.520 --> 0:16:25.280
<v Speaker 6>The Alley Gods view on when and why data breaks

0:16:25.280 --> 0:16:26.040
<v Speaker 6>would go public?

0:16:26.520 --> 0:16:27.960
<v Speaker 4>And I just want to caveat that.

0:16:28.040 --> 0:16:30.040
<v Speaker 6>You know, there's reports that you kind of trim the

0:16:30.120 --> 0:16:34.400
<v Speaker 6>valuation on the company. Didn't slash the trimmed, but what

0:16:34.440 --> 0:16:35.480
<v Speaker 6>would push you to do that?

0:16:36.280 --> 0:16:39.680
<v Speaker 10>Yeah, So look, I've always said that IPO is something

0:16:39.680 --> 0:16:41.880
<v Speaker 10>we will do in the future for us. We think

0:16:41.880 --> 0:16:44.200
<v Speaker 10>that we're going to be a really successful, sustainable business

0:16:44.240 --> 0:16:47.000
<v Speaker 10>in the long run, in you know, next decade or so.

0:16:47.000 --> 0:16:49.200
<v Speaker 10>So this is just a milestone right now. The markets

0:16:49.240 --> 0:16:52.600
<v Speaker 10>are shut down, We're not over optimizing for this IPO event.

0:16:53.720 --> 0:16:56.200
<v Speaker 10>We'll get there, you know, whenever the time is right.

0:16:56.920 --> 0:16:59.320
<v Speaker 10>There's just so much demand for our business right now.

0:16:59.600 --> 0:17:01.560
<v Speaker 10>And Frank, we want to be able to invest in AI.

0:17:02.000 --> 0:17:03.680
<v Speaker 10>We want to be able to do the investment set

0:17:03.960 --> 0:17:06.080
<v Speaker 10>we're allowed to do us private companies. It would be

0:17:06.080 --> 0:17:07.760
<v Speaker 10>actually hard to do that as a public company. So

0:17:07.800 --> 0:17:09.960
<v Speaker 10>actually right now it's really helping us to stay for

0:17:10.080 --> 0:17:11.600
<v Speaker 10>private data.

0:17:11.359 --> 0:17:14.560
<v Speaker 3>Brix CEO, Annie Gods there, We thank you for bringing

0:17:14.640 --> 0:17:16.679
<v Speaker 3>us the update on some of the revenue numbers and

0:17:16.720 --> 0:17:17.359
<v Speaker 3>the acquisition.

0:17:25.680 --> 0:17:26.400
<v Speaker 5>Time Now for.

0:17:26.400 --> 0:17:29.120
<v Speaker 3>Talking tech Kathy Wood is making new bets on other

0:17:29.160 --> 0:17:32.080
<v Speaker 3>tech stocks after of course, dropping in video from her funds. Largely,

0:17:32.400 --> 0:17:34.840
<v Speaker 3>two Ark invest funds purchased roughly one hundred and seventy

0:17:34.840 --> 0:17:38.080
<v Speaker 3>five thousand shares Meta, while the Ark Autonomous Technology and

0:17:38.160 --> 0:17:40.920
<v Speaker 3>Robotic etf IT picked up more than ninety eight thousand

0:17:41.000 --> 0:17:46.360
<v Speaker 3>shares the chip maker TSMC. Meanwhile, TSMC also regaining it's

0:17:46.359 --> 0:17:49.399
<v Speaker 3>five hundred billion dollar market cap as investors buy into

0:17:49.520 --> 0:17:52.600
<v Speaker 3>artificial intelligence and looks sift through which stock's the best

0:17:52.600 --> 0:17:55.639
<v Speaker 3>place to thrive during this AI boom. While TSMC toilted

0:17:55.680 --> 0:17:58.600
<v Speaker 3>its potential role within AI, has expressed some caution over

0:17:58.600 --> 0:18:01.240
<v Speaker 3>the outlook for the smartphone market, in particular that of course,

0:18:01.280 --> 0:18:04.760
<v Speaker 3>comprises a significant chunk of its revenue so far. And

0:18:04.840 --> 0:18:08.280
<v Speaker 3>let's look at arm So software back chip designer. It's

0:18:08.320 --> 0:18:11.640
<v Speaker 3>in talks with potential investors, including Intel, to be an

0:18:11.680 --> 0:18:14.679
<v Speaker 3>anchor in its New York listing later this year. Sources

0:18:14.680 --> 0:18:16.440
<v Speaker 3>are saying that the company has held talks with other

0:18:16.480 --> 0:18:19.200
<v Speaker 3>firms about funding. The IPO was expected to be one

0:18:19.240 --> 0:18:21.360
<v Speaker 3>of the most significant IPOs of the year.

0:18:21.520 --> 0:18:27.720
<v Speaker 6>Ed Yeah, let's chip away all this story further Bloomberg

0:18:27.720 --> 0:18:31.520
<v Speaker 6>Deals reporter Katie Ruth joining us from Los Angeles. An

0:18:31.560 --> 0:18:34.240
<v Speaker 6>anchor investor, you and I have been across many IPOs

0:18:34.680 --> 0:18:36.760
<v Speaker 6>in years. An anchor investor gives you a bit of

0:18:36.800 --> 0:18:39.040
<v Speaker 6>confidence appear in your industry.

0:18:39.280 --> 0:18:44.080
<v Speaker 1>That's very interesting, Yeah, exactly, And investors like this SoftBank

0:18:44.160 --> 0:18:47.600
<v Speaker 1>stock traded up on the news. Yes, a lot of

0:18:47.600 --> 0:18:50.639
<v Speaker 1>times you'll see an anchor investor of about one hundred

0:18:50.680 --> 0:18:54.320
<v Speaker 1>to two hundred million in size to help shore up confidence.

0:18:55.119 --> 0:18:58.080
<v Speaker 1>You know, it's a vote of confidence, a bit you know,

0:18:58.119 --> 0:19:01.359
<v Speaker 1>from a competitor and also a partner that shows that

0:19:02.000 --> 0:19:05.040
<v Speaker 1>they're serious and excited about arms technology.

0:19:05.520 --> 0:19:08.480
<v Speaker 3>I mean they have a relationship already a technical one.

0:19:08.520 --> 0:19:10.440
<v Speaker 3>The fact that it would become a financial one, I

0:19:10.520 --> 0:19:12.280
<v Speaker 3>mean remind us of in the past when this has

0:19:12.320 --> 0:19:13.720
<v Speaker 3>happened because sort.

0:19:13.560 --> 0:19:16.120
<v Speaker 5>Of Qualcomm is underpin previous listings as well.

0:19:17.560 --> 0:19:20.520
<v Speaker 1>Yeah, yeah, it's happened with Qualcom and then Mobile I.

0:19:20.680 --> 0:19:24.119
<v Speaker 1>There have been other anchor investors in the past. Mobile

0:19:24.119 --> 0:19:27.800
<v Speaker 1>I was spun out from Intel last year, and so

0:19:28.040 --> 0:19:30.480
<v Speaker 1>not just in this category, but in general. It's something

0:19:30.520 --> 0:19:34.520
<v Speaker 1>that you sometimes see with IPOs ahead of the roadshow,

0:19:34.880 --> 0:19:39.320
<v Speaker 1>ahead of drumming up interest from institutional investors to have

0:19:39.440 --> 0:19:42.560
<v Speaker 1>this strategic anchor investor to shore up confidence.

0:19:43.760 --> 0:19:47.160
<v Speaker 6>So Katie, you are the name on the Deals newsletter

0:19:47.680 --> 0:19:50.640
<v Speaker 6>publishing this morning. A big focus on all the talk

0:19:50.680 --> 0:19:54.200
<v Speaker 6>out in LA and LA Tech Week and Karen and I,

0:19:54.240 --> 0:19:56.680
<v Speaker 6>you know, we look at each of these tech Weeks LA,

0:19:56.840 --> 0:19:59.879
<v Speaker 6>New York, San Francisco. Sometimes a lot comes out of it,

0:20:00.080 --> 0:20:04.879
<v Speaker 6>sometimes very little does. What did you learn on the ground, Well.

0:20:04.720 --> 0:20:05.440
<v Speaker 1>I had fun?

0:20:06.000 --> 0:20:07.000
<v Speaker 2>What what did I learn?

0:20:07.560 --> 0:20:12.679
<v Speaker 1>I chatted with Mantis, the Chainsmokers, the band. They have

0:20:13.280 --> 0:20:18.640
<v Speaker 1>a venture fund and they they threw events uh uh

0:20:18.720 --> 0:20:21.439
<v Speaker 1>djayed by Travis Barker. I mean, it wouldn't be LA

0:20:21.600 --> 0:20:25.760
<v Speaker 1>Tech Week without participation from Hollywood. I spoke to Will

0:20:25.800 --> 0:20:28.680
<v Speaker 1>i Am, who my editor joke should be called will

0:20:28.760 --> 0:20:32.240
<v Speaker 1>A i Am, because he's been into interested in AI

0:20:32.640 --> 0:20:37.520
<v Speaker 1>for uh really the past decade. He's had multiple AI startups.

0:20:37.560 --> 0:20:40.159
<v Speaker 1>He has a new one, and he spoke to me

0:20:40.240 --> 0:20:44.159
<v Speaker 1>about you know, why he's excited about AI, but also

0:20:44.440 --> 0:20:47.520
<v Speaker 1>how he thinks that you know, it could provide an

0:20:47.520 --> 0:20:51.320
<v Speaker 1>opportunity for there to be a reset, uh for for

0:20:51.440 --> 0:20:55.000
<v Speaker 1>new jobs. And you know he's going back to his

0:20:55.040 --> 0:20:58.919
<v Speaker 1>home community to help, you know, prepare them for the

0:20:59.000 --> 0:21:02.560
<v Speaker 1>changing job market. There were you know a lot of

0:21:02.640 --> 0:21:09.400
<v Speaker 1>different events, sometimes at Hollywood mansions and you know, sometimes

0:21:09.400 --> 0:21:12.280
<v Speaker 1>featuring pizza robots. But you know, it's exciting to catch

0:21:12.359 --> 0:21:13.680
<v Speaker 1>up with the LA's tech industry.

0:21:14.040 --> 0:21:16.320
<v Speaker 3>I'm not sure there's any tech reporter that hasn't spoken

0:21:16.359 --> 0:21:18.720
<v Speaker 3>to me. I have now, I think you've aired you.

0:21:18.840 --> 0:21:20.679
<v Speaker 3>He turned up a Mercedes events for you. I think

0:21:20.720 --> 0:21:24.680
<v Speaker 3>I interviewed them Mobile Will Congress or Viva Tech or something. Meanwhile,

0:21:24.920 --> 0:21:26.520
<v Speaker 3>these events are going thick and fast, and think gets

0:21:26.600 --> 0:21:28.840
<v Speaker 3>London Technik on at the moment. So maybe he's over

0:21:28.840 --> 0:21:31.760
<v Speaker 3>there right now. Katie Ruth, we thank you so much for.

0:21:31.960 --> 0:21:33.800
<v Speaker 5>Telling us about all the NA parties so she has.

0:21:33.760 --> 0:21:35.119
<v Speaker 3>Been at as well as all the deals that are

0:21:35.160 --> 0:21:39.080
<v Speaker 3>being done there. Go check out her MNA deals discussion.

0:21:39.240 --> 0:21:49.960
<v Speaker 3>It's in the latest newsletter on the Bloomberg terminal. Welcome

0:21:50.000 --> 0:21:52.040
<v Speaker 3>back to Bloomberg Technology. I'm Caroline Hyde.

0:21:51.880 --> 0:21:54.480
<v Speaker 6>In New York and I Mad Ludlow in San Francisco.

0:21:54.520 --> 0:21:57.240
<v Speaker 6>It's going to check in on the market. Stocks pushing higher,

0:21:57.520 --> 0:22:01.879
<v Speaker 6>including the technology sector, driven by the inflation print.

0:22:01.640 --> 0:22:02.080
<v Speaker 4>That we got.

0:22:02.160 --> 0:22:05.040
<v Speaker 6>The idea being that the chances of a hike in

0:22:05.080 --> 0:22:08.080
<v Speaker 6>twenty four hours time at the FED meeting increasingly lower.

0:22:08.119 --> 0:22:10.480
<v Speaker 6>That's not to say the market thinks that the FED

0:22:10.560 --> 0:22:13.000
<v Speaker 6>is done, but we are now a little more certain

0:22:13.119 --> 0:22:16.639
<v Speaker 6>about a June meeting pause or however you want to phrase.

0:22:16.680 --> 0:22:18.879
<v Speaker 6>It's SP five hundred and seven tens to one percent,

0:22:19.040 --> 0:22:22.479
<v Speaker 6>the tech heavy NAZDA one hundred slightly underperforming that, but

0:22:22.560 --> 0:22:25.160
<v Speaker 6>basically in line that's HISS yields push higher, the US

0:22:25.200 --> 0:22:27.760
<v Speaker 6>ten year three point seven eight percent, up by about

0:22:27.800 --> 0:22:30.879
<v Speaker 6>five basis points. And we talked about our sort of

0:22:30.960 --> 0:22:34.160
<v Speaker 6>favorite risk asset that Bitcoin actually did start to move

0:22:34.200 --> 0:22:36.480
<v Speaker 6>a little lower, down just three tens percent in the

0:22:36.560 --> 0:22:39.760
<v Speaker 6>session to twenty five eight hundred and nine.

0:22:39.640 --> 0:22:40.840
<v Speaker 4>US dollars per token.

0:22:41.359 --> 0:22:45.000
<v Speaker 6>Two kind of mover stories out there this Tuesday morning,

0:22:45.359 --> 0:22:49.400
<v Speaker 6>Oracle and Salesforce, Oracle and earning story where cloud momentum

0:22:49.440 --> 0:22:53.879
<v Speaker 6>being driven by compute demand for AI. Also kind of

0:22:53.920 --> 0:22:57.560
<v Speaker 6>granularity coming from Larry Ellison, the chairman, about two billion

0:22:57.600 --> 0:23:01.879
<v Speaker 6>dollars of bookings fueled by LA compute demand. And then

0:23:01.960 --> 0:23:06.800
<v Speaker 6>Salesforce demonstrating its competence CARO in the field of generative AI,

0:23:07.160 --> 0:23:09.520
<v Speaker 6>how the work they're doing there is going to boost

0:23:09.520 --> 0:23:12.480
<v Speaker 6>their existing offerings in the world of CRM and other

0:23:12.560 --> 0:23:15.560
<v Speaker 6>software suite and tools. But of course we also had

0:23:15.560 --> 0:23:18.960
<v Speaker 6>this kind of soft referendum on Mark Benioff's popularity, which

0:23:19.000 --> 0:23:20.920
<v Speaker 6>he did better on this year than last.

0:23:21.040 --> 0:23:23.439
<v Speaker 3>And it's worth reminding ourselves just how far both of

0:23:23.480 --> 0:23:24.800
<v Speaker 3>these stocks have rallied this year.

0:23:24.880 --> 0:23:26.160
<v Speaker 5>I think Oracle's up more.

0:23:26.040 --> 0:23:29.119
<v Speaker 3>Than fifty percent salesforce giving away a little bit today,

0:23:29.160 --> 0:23:30.960
<v Speaker 3>but at more than sixty percent on the year. Let's

0:23:31.000 --> 0:23:33.680
<v Speaker 3>dive deeper into just what's behind the share price momentum,

0:23:33.720 --> 0:23:36.920
<v Speaker 3>and of course it's cloud momentum, mainly across both Anna

0:23:36.960 --> 0:23:40.120
<v Speaker 3>Ragranaz with us Bloomberg Intelligence senior tech analyst, and let's

0:23:40.119 --> 0:23:42.960
<v Speaker 3>start on Oracle because a lot of notes coming out

0:23:43.040 --> 0:23:46.639
<v Speaker 3>that they loved, in particular Oracle's cloud infrastructure that they

0:23:46.680 --> 0:23:48.679
<v Speaker 3>seem to be seeing a key highlight for you as

0:23:48.720 --> 0:23:49.600
<v Speaker 3>well as for Jeffries.

0:23:50.920 --> 0:23:52.359
<v Speaker 9>Yeah, this is I mean it was.

0:23:52.600 --> 0:23:55.920
<v Speaker 11>The acceleration in infrastructure as a service was a bit

0:23:56.280 --> 0:23:57.119
<v Speaker 11>surprising to us.

0:23:57.200 --> 0:23:58.720
<v Speaker 9>It was quite a bit sharper.

0:23:58.440 --> 0:24:01.560
<v Speaker 11>Only because in the whole world is slowing down right

0:24:01.560 --> 0:24:04.640
<v Speaker 11>now in terms of consumption, and here is Oracle, even

0:24:04.680 --> 0:24:06.920
<v Speaker 11>though it's a smaller base, you know, but improving their

0:24:06.920 --> 0:24:09.359
<v Speaker 11>growth rates. Now this is where we you know, wrote

0:24:09.400 --> 0:24:11.879
<v Speaker 11>this morning that this is going to do, you know,

0:24:11.920 --> 0:24:14.560
<v Speaker 11>get some work done from both Amazon and Microsoft in

0:24:14.640 --> 0:24:17.040
<v Speaker 11>terms of explaining to the market that they are not

0:24:17.160 --> 0:24:20.080
<v Speaker 11>losing market share and everybody is going to benefit from

0:24:20.119 --> 0:24:23.080
<v Speaker 11>both the AI boom and people moving more workloads to

0:24:23.119 --> 0:24:26.440
<v Speaker 11>the cloud. Now, remember, Oracle is very good at marketing itself,

0:24:26.520 --> 0:24:28.600
<v Speaker 11>and I think they did a phenomenal job over the

0:24:28.640 --> 0:24:31.720
<v Speaker 11>last few quarters and we can see the results of that.

0:24:33.320 --> 0:24:38.720
<v Speaker 6>Speaking of marketing oneself, Salesforce set out, it's still in

0:24:38.800 --> 0:24:41.240
<v Speaker 6>terms of what it's doing in the field of generative AI.

0:24:41.800 --> 0:24:44.600
<v Speaker 6>Where does Salesforce sit in the AI wars from the

0:24:44.640 --> 0:24:46.040
<v Speaker 6>BI perspective an RAG.

0:24:47.200 --> 0:24:49.199
<v Speaker 11>So one of the things that we have talked a

0:24:49.240 --> 0:24:53.120
<v Speaker 11>lot about is when you look at generative AI, consumer

0:24:53.160 --> 0:24:54.440
<v Speaker 11>applications are going.

0:24:54.240 --> 0:24:55.720
<v Speaker 9>To be the first one to embrace this.

0:24:55.800 --> 0:24:58.440
<v Speaker 11>And we have seen that already with our GPT and

0:24:58.480 --> 0:25:00.440
<v Speaker 11>you know being including some of that stuff.

0:25:00.480 --> 0:25:03.040
<v Speaker 9>You're going to get more of that in the coming months.

0:25:03.680 --> 0:25:05.760
<v Speaker 11>A large portion of that is because the data, the

0:25:05.760 --> 0:25:08.120
<v Speaker 11>consumer data is a little bit easier to get than

0:25:08.520 --> 0:25:11.840
<v Speaker 11>enterprise data. When you look at a company like Salesforce,

0:25:12.080 --> 0:25:16.080
<v Speaker 11>the number one concern for corporations right now is are

0:25:16.119 --> 0:25:18.239
<v Speaker 11>they going to use my data to come up with

0:25:18.320 --> 0:25:22.440
<v Speaker 11>some new algorithm and then you start divulging those data

0:25:22.440 --> 0:25:23.399
<v Speaker 11>sources out there.

0:25:23.560 --> 0:25:24.200
<v Speaker 9>And I think what.

0:25:24.280 --> 0:25:27.440
<v Speaker 11>Salesforce data yesterday was very smart. They're there to explain

0:25:27.480 --> 0:25:30.479
<v Speaker 11>to people that your personal data will remain private.

0:25:30.640 --> 0:25:33.040
<v Speaker 9>As a company, we're not going to use it.

0:25:33.080 --> 0:25:34.639
<v Speaker 11>If you're going to use it, it's only going to

0:25:34.640 --> 0:25:36.840
<v Speaker 11>be for you. So I think it's a first good

0:25:36.880 --> 0:25:40.520
<v Speaker 11>step in explaining to people what it means. I think

0:25:40.600 --> 0:25:43.879
<v Speaker 11>Salesforce is a big beneficiary in the long run because

0:25:43.880 --> 0:25:46.679
<v Speaker 11>at both their cloud products, whether it's Sales Cloud or

0:25:46.720 --> 0:25:51.960
<v Speaker 11>Customer Relationship Management or the Customer Service Cloud, both are

0:25:52.040 --> 0:25:54.760
<v Speaker 11>three times bigger than the nearest rival in the cloud.

0:25:54.960 --> 0:25:56.440
<v Speaker 11>And I think they are sitting on top of a

0:25:56.520 --> 0:25:58.440
<v Speaker 11>lot of data and they're going to benefit from that.

0:26:00.040 --> 0:26:02.120
<v Speaker 6>All right, Oh, thanks to Ana rag Rana or Bloomberg

0:26:02.200 --> 0:26:05.440
<v Speaker 6>Intelligence reacting to what's been a busy twenty four hours

0:26:05.440 --> 0:26:08.439
<v Speaker 6>in newsflow, let's get more perspective on AI and cloud

0:26:08.520 --> 0:26:13.400
<v Speaker 6>software from Manny Medinao Outreach. Outreach is a Salesforce partner

0:26:13.400 --> 0:26:16.119
<v Speaker 6>and an AI driven sales platform which is used by

0:26:16.160 --> 0:26:19.879
<v Speaker 6>thousands of enterprises to increase sales rep productivity. And it's

0:26:19.920 --> 0:26:22.359
<v Speaker 6>a great place to start because the question Caroline and

0:26:22.440 --> 0:26:25.879
<v Speaker 6>I constantly pose Nanny is how does the introduction of

0:26:25.920 --> 0:26:30.520
<v Speaker 6>generative AI tools not just change sales function but does

0:26:30.560 --> 0:26:32.000
<v Speaker 6>it eliminate some as well.

0:26:35.040 --> 0:26:38.000
<v Speaker 12>Let's think I step back, so where are the very

0:26:38.040 --> 0:26:42.000
<v Speaker 12>early innings of what jenai and JIAI in.

0:26:41.920 --> 0:26:43.879
<v Speaker 9>General can do for a sales rep and for a

0:26:43.920 --> 0:26:44.600
<v Speaker 9>sales manager.

0:26:45.200 --> 0:26:47.520
<v Speaker 12>And the winners of this race are going to be

0:26:47.560 --> 0:26:49.560
<v Speaker 12>called out in the next two years, if you would.

0:26:49.880 --> 0:26:52.600
<v Speaker 12>But what's important is that if you go to the future,

0:26:53.240 --> 0:26:56.240
<v Speaker 12>can you imagine you know what is it non negotiable?

0:26:56.240 --> 0:26:58.280
<v Speaker 12>So if you think for first principles back and what's

0:26:58.280 --> 0:27:00.159
<v Speaker 12>going to happen in the future, that we need to

0:27:00.200 --> 0:27:02.800
<v Speaker 12>do today is that in the future, there is no rep.

0:27:02.880 --> 0:27:05.359
<v Speaker 12>There's no manager that doesn't have an AI dedicated to

0:27:05.440 --> 0:27:07.960
<v Speaker 12>their work. That is not helping them, you know, close

0:27:07.960 --> 0:27:10.640
<v Speaker 12>deals faster, That is not helping them prioritize their day,

0:27:10.640 --> 0:27:13.639
<v Speaker 12>that is not helping them figure out what accounts to pursue,

0:27:13.680 --> 0:27:15.600
<v Speaker 12>what accunts not for to pursue, who who to follow

0:27:15.680 --> 0:27:17.720
<v Speaker 12>up with and sort of get the aggregate of those

0:27:17.760 --> 0:27:20.240
<v Speaker 12>reports to a manager and making sure that the team

0:27:20.280 --> 0:27:23.479
<v Speaker 12>is moving forward and delivering. So in that future, if

0:27:23.520 --> 0:27:25.040
<v Speaker 12>you work it back to today, the things that are

0:27:25.080 --> 0:27:26.879
<v Speaker 12>important is how do you lay.

0:27:26.720 --> 0:27:27.520
<v Speaker 9>Out that data?

0:27:27.640 --> 0:27:30.080
<v Speaker 12>How do you make you know your your your partner

0:27:30.119 --> 0:27:32.600
<v Speaker 12>in the enterprise trustworthy, which is what seales for today.

0:27:32.960 --> 0:27:34.720
<v Speaker 12>How do you make sure that you are accumulating data

0:27:34.760 --> 0:27:36.800
<v Speaker 12>and processing in such a way that you are increasingly

0:27:36.840 --> 0:27:39.800
<v Speaker 12>helping the reps work close and making them more successful.

0:27:40.240 --> 0:27:43.560
<v Speaker 9>Now will doubt this displaced jobs?

0:27:43.680 --> 0:27:46.400
<v Speaker 12>I doubt it because people, you know, organizations will get

0:27:46.400 --> 0:27:49.119
<v Speaker 12>greedy and they will see that with higher efficiency they

0:27:49.119 --> 0:27:50.760
<v Speaker 12>can actually drive higher results.

0:27:50.920 --> 0:27:53.800
<v Speaker 9>So they will continue to hire reps that use GENI

0:27:53.840 --> 0:27:54.320
<v Speaker 9>as part.

0:27:54.160 --> 0:27:56.200
<v Speaker 12>Of their day to day workflow and that will continue

0:27:56.200 --> 0:27:59.920
<v Speaker 12>to drive you know, efficient returns and efficient compounding outcomes

0:27:59.920 --> 0:28:01.040
<v Speaker 12>for organizations.

0:28:01.080 --> 0:28:03.160
<v Speaker 9>So it's a very exciting time right now.

0:28:03.200 --> 0:28:05.840
<v Speaker 3>Exciting as long as you're happy to be augmented, as

0:28:05.840 --> 0:28:07.960
<v Speaker 3>long as you're ensuring you're up in your skill set

0:28:08.240 --> 0:28:10.800
<v Speaker 3>to work alongside this AI manny, What did you hear

0:28:10.840 --> 0:28:13.880
<v Speaker 3>that was different out of salesforce? That ultimately is being

0:28:13.920 --> 0:28:16.520
<v Speaker 3>said by everyone else who's trying to help you with

0:28:16.560 --> 0:28:20.639
<v Speaker 3>your CRM, with your interactions with your customers, with marketing

0:28:21.160 --> 0:28:22.040
<v Speaker 3>when it comes to AI.

0:28:23.359 --> 0:28:25.080
<v Speaker 12>I think what we're seeing right now is an even

0:28:25.160 --> 0:28:29.720
<v Speaker 12>played in field among all the systems of record players.

0:28:29.800 --> 0:28:33.240
<v Speaker 12>So you're seeing Dynamics in Microsoft coming out with a

0:28:33.280 --> 0:28:35.520
<v Speaker 12>setup announcements. You see an Oracle coming up with a

0:28:35.560 --> 0:28:39.000
<v Speaker 12>setup announcements. You seeing Salesforce coming up with sort of announcements.

0:28:38.680 --> 0:28:39.440
<v Speaker 9>Three weeks ago.

0:28:39.760 --> 0:28:42.600
<v Speaker 12>Service now layout there rotema for AI and I gonna

0:28:42.600 --> 0:28:43.960
<v Speaker 12>mean for IDSM and the rest of the year.

0:28:43.880 --> 0:28:46.320
<v Speaker 5>Differct maney manny. That's really overwhelming for me.

0:28:46.480 --> 0:28:48.480
<v Speaker 3>I mean, as the journalists, you're speaking to, all these

0:28:48.520 --> 0:28:51.520
<v Speaker 3>companies getting you onto, and it feels as though there's

0:28:51.520 --> 0:28:54.040
<v Speaker 3>too many announcements, everyone suddenly trying to make themselves out

0:28:54.080 --> 0:28:59.040
<v Speaker 3>to be some AI efficient company. How can you discern

0:28:59.240 --> 0:29:00.720
<v Speaker 3>which one's doing the right things?

0:29:00.720 --> 0:29:01.320
<v Speaker 5>And when.

0:29:02.600 --> 0:29:04.600
<v Speaker 12>There is no way to go wrong? Right now, see

0:29:04.600 --> 0:29:06.960
<v Speaker 12>that players who are going to win. They set out

0:29:06.960 --> 0:29:10.000
<v Speaker 12>the AI strategy ten years ago. So if you read

0:29:10.160 --> 0:29:12.000
<v Speaker 12>you know the sell sorces of full service announcement, they

0:29:12.040 --> 0:29:13.920
<v Speaker 12>actually have been working on a number of things for

0:29:13.960 --> 0:29:16.240
<v Speaker 12>a while. And this is just the culmination and the

0:29:16.600 --> 0:29:19.080
<v Speaker 12>and the and another turn of the flywheel.

0:29:18.640 --> 0:29:21.320
<v Speaker 9>Of getting their AI on on the onto the market

0:29:21.400 --> 0:29:22.760
<v Speaker 9>now with the help of Generative AI.

0:29:22.960 --> 0:29:25.600
<v Speaker 12>So General VII is just another flavor of a bunch

0:29:25.600 --> 0:29:27.480
<v Speaker 12>of AI that has been built over the past ten years.

0:29:27.560 --> 0:29:28.640
<v Speaker 9>It's the same thing for outreach.

0:29:28.680 --> 0:29:31.480
<v Speaker 12>We've been working with workflows and we've been looking at

0:29:31.600 --> 0:29:33.520
<v Speaker 12>what the what is the rep doing or the manager doing,

0:29:33.600 --> 0:29:35.440
<v Speaker 12>what is the outcome of the workflows and fitting that

0:29:35.480 --> 0:29:37.640
<v Speaker 12>into models so that we can make people more productive.

0:29:37.760 --> 0:29:39.960
<v Speaker 12>General VAI is just another gear into that, into that

0:29:40.040 --> 0:29:44.000
<v Speaker 12>flight wheel. So everyone is going to have enhancements to

0:29:44.120 --> 0:29:47.280
<v Speaker 12>the user experience on their platforms and that is just

0:29:47.320 --> 0:29:49.040
<v Speaker 12>good news for everybody.

0:29:49.920 --> 0:29:53.440
<v Speaker 6>MANNY to the enterprises you work with have the technical

0:29:53.520 --> 0:29:58.320
<v Speaker 6>expertise and the personnel necessary to understand what's happening and

0:29:58.360 --> 0:29:59.840
<v Speaker 6>then implement it on their end.

0:30:01.120 --> 0:30:03.360
<v Speaker 9>That is exactly the right question to ask.

0:30:03.480 --> 0:30:07.160
<v Speaker 12>So the main the main funnel through which AI is

0:30:07.160 --> 0:30:11.320
<v Speaker 12>going to have to go through the main uh, the mechanism,

0:30:11.400 --> 0:30:13.920
<v Speaker 12>but which AI gets deployed and gets useful is through

0:30:13.920 --> 0:30:16.160
<v Speaker 12>the human being. It's through the worker, it's through the

0:30:16.240 --> 0:30:19.560
<v Speaker 12>project and through the workflow. And we need to spend

0:30:19.600 --> 0:30:23.280
<v Speaker 12>more time thinking about how does that AI impact, the

0:30:23.360 --> 0:30:28.760
<v Speaker 12>rep impact, the customer success manager impact, the support UH

0:30:28.920 --> 0:30:33.320
<v Speaker 12>person or professional and managers out there to make sure

0:30:33.320 --> 0:30:36.680
<v Speaker 12>that we are fitting the AI to the benefit of

0:30:36.720 --> 0:30:38.720
<v Speaker 12>the human being, because only then you're going to get

0:30:38.720 --> 0:30:42.720
<v Speaker 12>the compound and effect of AI plus human delivers drastic results.

0:30:43.080 --> 0:30:45.960
<v Speaker 12>So we need to spend more time a locating that

0:30:46.360 --> 0:30:48.400
<v Speaker 12>our team members and the and the recipients into the

0:30:48.440 --> 0:30:50.680
<v Speaker 12>new into the new workflows, into the new possibilities that

0:30:51.000 --> 0:30:51.960
<v Speaker 12>i I bring to the table.

0:30:52.160 --> 0:30:54.000
<v Speaker 9>Without it, you're not going to get adoption.

0:30:54.600 --> 0:30:56.080
<v Speaker 12>So that that is the part that we all need

0:30:56.120 --> 0:30:57.560
<v Speaker 12>to be talking about, is what are you doing to

0:30:57.640 --> 0:31:00.760
<v Speaker 12>drive adoption of AI out your customer's point, not in

0:31:00.800 --> 0:31:01.800
<v Speaker 12>the technology delivery.

0:31:01.920 --> 0:31:04.040
<v Speaker 9>Now, your delivery is very easy right now is customer

0:31:04.200 --> 0:31:04.959
<v Speaker 9>after right?

0:31:05.920 --> 0:31:06.239
<v Speaker 2>All right?

0:31:06.400 --> 0:31:09.360
<v Speaker 6>Thanks to our reco Manny Medina, who's reacting carried to

0:31:09.400 --> 0:31:12.240
<v Speaker 6>salesforce setting out what they're doing in the field of

0:31:12.280 --> 0:31:14.840
<v Speaker 6>AI in the last twenty four hours. Now coming up

0:31:14.920 --> 0:31:17.200
<v Speaker 6>the state of the venture industry and what will be

0:31:17.240 --> 0:31:20.840
<v Speaker 6>the next big thing enabled by AI. More on that

0:31:20.920 --> 0:31:23.600
<v Speaker 6>with four runners Brian O'Malley, that's next.

0:31:24.200 --> 0:31:36.719
<v Speaker 4>This is Bloomberg all right, Time for the VC roundup.

0:31:36.760 --> 0:31:39.920
<v Speaker 6>First up, Insight Partners has cut the target size of

0:31:39.960 --> 0:31:42.960
<v Speaker 6>its latest fund to fifteen billion dollars from the earlier

0:31:43.000 --> 0:31:46.000
<v Speaker 6>target of twenty billion dollars. Is it sees quote a

0:31:46.000 --> 0:31:49.640
<v Speaker 6>great reset in tech. That's according to the Financial Time,

0:31:49.760 --> 0:31:53.160
<v Speaker 6>citing a letter to institutional investors. The firm is so

0:31:53.240 --> 0:31:57.560
<v Speaker 6>far raised about two billion dollars for its thirteenth fund. Similarly,

0:31:57.600 --> 0:32:02.200
<v Speaker 6>Technology Crossover Ventures or TEAC has raised fifty to seventy

0:32:02.200 --> 0:32:05.640
<v Speaker 6>five percent less capital for his flagship fund, down from

0:32:05.640 --> 0:32:08.240
<v Speaker 6>the planned five point five billion target set last year.

0:32:08.280 --> 0:32:11.960
<v Speaker 6>That's according to the Information, citing securities filings and a

0:32:12.040 --> 0:32:15.719
<v Speaker 6>document compiled by one of tcb's A limited partners. TCV

0:32:16.000 --> 0:32:19.440
<v Speaker 6>has raised one point four billion for its flagship fund. Finally,

0:32:19.800 --> 0:32:23.120
<v Speaker 6>wafer producer Cubic PV says it secured over one hundred

0:32:23.160 --> 0:32:26.400
<v Speaker 6>million dollars in new firm equity commitments for its US

0:32:26.440 --> 0:32:29.760
<v Speaker 6>factory plans and product ROMAC, SCG, Hunt Energy, and break

0:32:29.800 --> 0:32:33.520
<v Speaker 6>Through Energy all committed capital, with the first thirty three

0:32:33.640 --> 0:32:36.720
<v Speaker 6>million dollars to be released immediately.

0:32:37.040 --> 0:32:38.440
<v Speaker 4>Caroline, let's stick.

0:32:38.240 --> 0:32:40.200
<v Speaker 3>With this world of VC. We're very pleased to welcome

0:32:40.240 --> 0:32:42.040
<v Speaker 3>to the show. Brian and Valley, managing partner at four

0:32:42.080 --> 0:32:44.920
<v Speaker 3>Run Adventures two billion dollars in assets under management and

0:32:45.400 --> 0:32:47.960
<v Speaker 3>really ran you state your claim, and some of the

0:32:48.160 --> 0:32:50.640
<v Speaker 3>key companies you back before are very consumer focused. I'm

0:32:50.640 --> 0:32:54.160
<v Speaker 3>thinking in the glossiers him and hers Aura. At the moment,

0:32:54.240 --> 0:32:56.400
<v Speaker 3>you seem to be looking at a lot at the

0:32:56.440 --> 0:32:59.360
<v Speaker 3>platforms that empower gig economy workers, and I'm interested as

0:32:59.400 --> 0:33:02.360
<v Speaker 3>to how much time is currently helping your portfolio companies

0:33:02.680 --> 0:33:05.200
<v Speaker 3>basically ensure that they're empowered with AI, then they're not

0:33:05.240 --> 0:33:06.640
<v Speaker 3>having their lunch, eat and elsewhere.

0:33:08.760 --> 0:33:08.920
<v Speaker 2>Yeah.

0:33:08.920 --> 0:33:11.560
<v Speaker 13>Absolutely, I think AI is on everyone's mind these days.

0:33:11.600 --> 0:33:13.600
<v Speaker 13>It's something that I've been hearing you guys talk about

0:33:13.640 --> 0:33:16.000
<v Speaker 13>all morning. It's something we're talking about in our offices

0:33:16.080 --> 0:33:18.600
<v Speaker 13>all day long. And so we did a survey recently

0:33:18.680 --> 0:33:21.480
<v Speaker 13>of our portfolio to really understand where they're exploring. And

0:33:21.840 --> 0:33:24.200
<v Speaker 13>it's not surprising that about eighty to ninety percent of

0:33:24.200 --> 0:33:27.360
<v Speaker 13>the portfolio companies are already leveraging AI in some fashion

0:33:27.880 --> 0:33:30.160
<v Speaker 13>and the rest are thinking about it and starts with marketing,

0:33:30.320 --> 0:33:32.360
<v Speaker 13>it starts with their product, and then they're really thinking

0:33:32.360 --> 0:33:35.320
<v Speaker 13>about internal processes and how they can automate internal processes

0:33:35.360 --> 0:33:35.640
<v Speaker 13>as well.

0:33:36.320 --> 0:33:39.160
<v Speaker 6>Full your portfolio companies and the founders you invest in.

0:33:39.440 --> 0:33:42.600
<v Speaker 6>What is the single biggest factor that would push them

0:33:42.640 --> 0:33:43.480
<v Speaker 6>to invest in AI?

0:33:43.600 --> 0:33:44.560
<v Speaker 4>Why do they need it?

0:33:45.400 --> 0:33:47.600
<v Speaker 13>Well, everyone is trying to be both more efficient as

0:33:47.600 --> 0:33:50.320
<v Speaker 13>well as provide more value to their end customers. And

0:33:50.360 --> 0:33:52.400
<v Speaker 13>we're finding ways where if they can put their people

0:33:52.840 --> 0:33:55.719
<v Speaker 13>first and then enable some of the back end processes

0:33:56.080 --> 0:33:58.960
<v Speaker 13>to be leveraged through AI, that enables them to have

0:33:59.080 --> 0:34:01.440
<v Speaker 13>more human element even though they're taking advantage of these

0:34:01.520 --> 0:34:02.280
<v Speaker 13>new technologies.

0:34:03.840 --> 0:34:07.320
<v Speaker 6>I think it poses the question Carrie, going back to consumer,

0:34:07.520 --> 0:34:10.319
<v Speaker 6>because I was getting ready for this segment and I

0:34:10.360 --> 0:34:12.399
<v Speaker 6>was kind of looking forward to not talking about AI,

0:34:12.640 --> 0:34:14.120
<v Speaker 6>and we're two and a half minutes in and we've

0:34:14.160 --> 0:34:19.800
<v Speaker 6>already ruined that. But traditionally, for vcs, the consumer segment

0:34:19.960 --> 0:34:24.400
<v Speaker 6>is risky. You're against giant global conglomerates who are also innovating.

0:34:24.800 --> 0:34:27.760
<v Speaker 6>Why do you want to focus there in more consumer

0:34:27.800 --> 0:34:30.120
<v Speaker 6>facing startups in their platforms.

0:34:30.680 --> 0:34:30.960
<v Speaker 2>Sure?

0:34:31.000 --> 0:34:33.719
<v Speaker 13>Well, we believe that when you focus at something, you

0:34:33.760 --> 0:34:35.080
<v Speaker 13>can be the best in the world at it, and

0:34:35.080 --> 0:34:37.040
<v Speaker 13>that's what we're trying to do in terms of understanding

0:34:37.080 --> 0:34:39.160
<v Speaker 13>both what consumers want. Right now, we spend a lot

0:34:39.200 --> 0:34:42.200
<v Speaker 13>of our time not pontificating, but really listening. So we

0:34:42.239 --> 0:34:44.240
<v Speaker 13>do a fair amount of focus groups, a fair amount

0:34:44.239 --> 0:34:46.360
<v Speaker 13>of surveys. I understand what is top of mind for people.

0:34:46.719 --> 0:34:48.879
<v Speaker 13>And even though there's all this innovation, people are still

0:34:48.960 --> 0:34:51.919
<v Speaker 13>left wanting more. They've got challenges in their personal lives,

0:34:52.239 --> 0:34:55.279
<v Speaker 13>looking for community and connection, and they're also thinking about

0:34:55.360 --> 0:34:58.160
<v Speaker 13>how they can get better purpose, better self reliance. And

0:34:58.200 --> 0:35:00.759
<v Speaker 13>so we feel like as much as there's dollars going

0:35:00.800 --> 0:35:03.879
<v Speaker 13>into the ecosystem, there's a lot of needs still being

0:35:03.960 --> 0:35:06.279
<v Speaker 13>unmet for consumers, and we believe the founders we work

0:35:06.320 --> 0:35:07.439
<v Speaker 13>QUI can help solve those needs.

0:35:07.480 --> 0:35:10.279
<v Speaker 6>You know, Caroline, We've had vcs and founders on the

0:35:10.320 --> 0:35:14.400
<v Speaker 6>show that are making something for the consumer, and valuing

0:35:14.480 --> 0:35:16.120
<v Speaker 6>that offering is really hard.

0:35:16.440 --> 0:35:19.200
<v Speaker 3>Yeah, I mean, Brian, I'm having a lot of conversations

0:35:19.239 --> 0:35:23.880
<v Speaker 3>with vcs who've primarily backed consumer focused companies and at

0:35:23.920 --> 0:35:25.239
<v Speaker 3>the moment they say they're not touching them with a

0:35:25.239 --> 0:35:25.719
<v Speaker 3>barge pole.

0:35:25.880 --> 0:35:28.000
<v Speaker 5>In terms of new checks to be written.

0:35:28.480 --> 0:35:31.240
<v Speaker 3>How much is the valuations the companies that you currently

0:35:31.280 --> 0:35:33.880
<v Speaker 3>have had and just having to write size still at

0:35:33.880 --> 0:35:34.560
<v Speaker 3>the moment.

0:35:36.200 --> 0:35:39.200
<v Speaker 13>Sure, Well, there's a combination that portfolio, as there always is,

0:35:39.239 --> 0:35:41.319
<v Speaker 13>and the ratio may change a little bit, but our

0:35:41.360 --> 0:35:44.879
<v Speaker 13>best companies are still finding dollars available to them, they're

0:35:44.880 --> 0:35:47.920
<v Speaker 13>still raising capital, and they're able to do what they

0:35:47.960 --> 0:35:50.680
<v Speaker 13>need to do. The companies that are struggling, they continue

0:35:50.719 --> 0:35:52.400
<v Speaker 13>to struggle, and a lot of that comes down to

0:35:52.480 --> 0:35:54.520
<v Speaker 13>just this question around whether they found product market fit

0:35:54.840 --> 0:35:57.400
<v Speaker 13>and whether they're timing is right for what they're ultimately offering.

0:35:57.480 --> 0:35:59.399
<v Speaker 13>And so we look at a time where a lot

0:35:59.400 --> 0:36:01.799
<v Speaker 13>of other consumer we're investors or left scratching their head

0:36:01.800 --> 0:36:05.080
<v Speaker 13>because they found themselves chasing some of these shiny objects.

0:36:05.400 --> 0:36:08.600
<v Speaker 13>We find that when we're grounded talking to people, talking

0:36:08.600 --> 0:36:10.680
<v Speaker 13>about what their needs are and looking at how that

0:36:11.000 --> 0:36:14.680
<v Speaker 13>is juxtaposed against new business models and new technologies, we

0:36:14.719 --> 0:36:16.640
<v Speaker 13>find that there's more than an opportunity to invest in.

0:36:16.680 --> 0:36:18.480
<v Speaker 13>It's just about finding the right ones, where we have

0:36:18.560 --> 0:36:21.000
<v Speaker 13>the right founder fit based on our ambition and based

0:36:21.040 --> 0:36:21.839
<v Speaker 13>on what they're trying to.

0:36:21.760 --> 0:36:23.439
<v Speaker 5>Do talk to us about the founder fit.

0:36:23.719 --> 0:36:26.800
<v Speaker 3>Of course, there was a lot of concern that as

0:36:27.320 --> 0:36:30.560
<v Speaker 3>you know, that sucking feeling, sucking noise started to happen

0:36:30.560 --> 0:36:32.200
<v Speaker 3>in terms of the money coming out of the situation,

0:36:32.280 --> 0:36:36.360
<v Speaker 3>it was going to leave particularly diverse founders.

0:36:35.120 --> 0:36:36.759
<v Speaker 5>Sort of most hard hit.

0:36:36.920 --> 0:36:39.480
<v Speaker 3>But then now what I'm hearing is actually the diverse

0:36:39.480 --> 0:36:42.600
<v Speaker 3>founders have been used to being scrappy ultimately, and they're

0:36:42.640 --> 0:36:45.080
<v Speaker 3>actually better at weathering these sorts of downturns because they

0:36:45.120 --> 0:36:48.080
<v Speaker 3>know how to have a sort of nimble business. And

0:36:48.080 --> 0:36:50.120
<v Speaker 3>you're seeing that how much you were able to continue

0:36:50.160 --> 0:36:53.560
<v Speaker 3>to support founders who perhaps wouldn't have had checks previously.

0:36:55.239 --> 0:36:58.440
<v Speaker 13>Yeah, absolutely, we're looking for founders today to be scrappier

0:36:58.440 --> 0:36:59.560
<v Speaker 13>than they've ever been before.

0:36:59.600 --> 0:37:01.040
<v Speaker 2>But scared city is.

0:37:00.960 --> 0:37:03.560
<v Speaker 13>An important trait for these startup companies. When you have

0:37:03.680 --> 0:37:07.239
<v Speaker 13>too many things going on, it enables you took to

0:37:07.440 --> 0:37:10.799
<v Speaker 13>lose your focus. And when there's less resources, when there's

0:37:10.840 --> 0:37:12.680
<v Speaker 13>less people on the team, it's easier to pick what's

0:37:12.719 --> 0:37:15.239
<v Speaker 13>the one priority we need to get accomplished now. And

0:37:15.239 --> 0:37:16.879
<v Speaker 13>that's what we're working with our teams on to help

0:37:16.920 --> 0:37:19.880
<v Speaker 13>them pick that priority and help them execute against it.

0:37:20.120 --> 0:37:22.920
<v Speaker 6>Brian, what's your exit strategy when you're in this space?

0:37:23.880 --> 0:37:26.440
<v Speaker 13>Our access strategy is really simple. We try to build

0:37:26.480 --> 0:37:29.600
<v Speaker 13>great businesses, and those great businesses tend to have lots

0:37:29.640 --> 0:37:32.600
<v Speaker 13>of opportunities come towards them, and that window might be.

0:37:32.600 --> 0:37:33.319
<v Speaker 4>Changing a little bit.

0:37:33.360 --> 0:37:35.560
<v Speaker 13>It might be harder to sell a company, I'd be

0:37:35.600 --> 0:37:37.600
<v Speaker 13>harder to take a public right now. But if you're

0:37:37.600 --> 0:37:41.319
<v Speaker 13>building a durable, sustainable business where the customers love what

0:37:41.320 --> 0:37:44.240
<v Speaker 13>you're doing, time is actually your friend versus your enemy,

0:37:44.360 --> 0:37:44.800
<v Speaker 13>and that's.

0:37:44.640 --> 0:37:45.840
<v Speaker 4>What we're trying to help our companies do.

0:37:45.920 --> 0:37:49.120
<v Speaker 6>All right, full run Avenches managing partner Brian O'Malley, thank

0:37:49.160 --> 0:37:52.960
<v Speaker 6>you very much. Federal Prosecutes is in the Fharaanos case.

0:37:53.000 --> 0:37:55.480
<v Speaker 6>They're asking for Elizabeth Holmes to pay two hundred and

0:37:55.520 --> 0:37:59.760
<v Speaker 6>fifty dollars every month in restitution once she's released from prison.

0:38:00.080 --> 0:38:03.320
<v Speaker 6>Lawyers for the former Pharaoh CEO say she has quote

0:38:03.440 --> 0:38:06.719
<v Speaker 6>limited financial resources and should not have to make the

0:38:06.760 --> 0:38:09.759
<v Speaker 6>monthly payment. Holmes had said she can't afford to pay

0:38:09.800 --> 0:38:12.600
<v Speaker 6>the nine figure sum demanded by the US over four

0:38:12.719 --> 0:38:25.640
<v Speaker 6>hundred and fifty two million dollars. Twitter's former CEO, Jack

0:38:25.680 --> 0:38:29.120
<v Speaker 6>Dorsey says authorities had threatened the platform during the farmer

0:38:29.200 --> 0:38:35.240
<v Speaker 6>protests unless Twitter removed certain politically sensitive posts. Now India's

0:38:35.280 --> 0:38:39.960
<v Speaker 6>Minister of State for Electronics and it fired back at Dorsey, saying, quote,

0:38:40.000 --> 0:38:43.600
<v Speaker 6>that's a lie. Bloomberg's Technology editor Sarah Fryer joins US

0:38:43.600 --> 0:38:44.959
<v Speaker 6>on set with more.

0:38:46.520 --> 0:38:47.040
<v Speaker 4>Let's start.

0:38:47.040 --> 0:38:49.520
<v Speaker 6>I guess with the retort, what is it that that

0:38:49.600 --> 0:38:53.080
<v Speaker 6>India is saying Twitter is lying or Jack Dorsey specifically

0:38:53.160 --> 0:38:53.840
<v Speaker 6>is lying about.

0:38:54.480 --> 0:38:56.840
<v Speaker 14>Well, they're saying that they never shut Twitter down and

0:38:56.880 --> 0:38:59.640
<v Speaker 14>then nobody went to jail. That's not what Dorsey was saying.

0:39:00.080 --> 0:39:03.120
<v Speaker 14>He was saying that there were threats that the company

0:39:03.160 --> 0:39:06.000
<v Speaker 14>would be shut down and that employees would be threatened. So,

0:39:06.800 --> 0:39:08.759
<v Speaker 14>I mean, what you're seeing here this is just a

0:39:08.800 --> 0:39:12.359
<v Speaker 14>microcosm of what's happening with Twitter across the world, which

0:39:12.400 --> 0:39:17.400
<v Speaker 14>is governments are realizing that they can ask for the

0:39:17.440 --> 0:39:20.600
<v Speaker 14>company to do certain things to take down a posts

0:39:20.600 --> 0:39:23.920
<v Speaker 14>from dissidents, from people who are criticizing the government and

0:39:24.200 --> 0:39:28.240
<v Speaker 14>say they're in violation of law, and if they don't comply,

0:39:28.960 --> 0:39:31.560
<v Speaker 14>they could lose their market power in that country. And

0:39:31.600 --> 0:39:33.560
<v Speaker 14>that is something that I think is going to be

0:39:34.040 --> 0:39:39.000
<v Speaker 14>even more difficult under the new CEO, Lindia Karino and

0:39:39.360 --> 0:39:43.160
<v Speaker 14>new owner of Twitter, Elon Musk. We're talking about with Dorisy.

0:39:43.239 --> 0:39:48.560
<v Speaker 14>Happened in twenty twenty one, and now Twitter has so

0:39:48.680 --> 0:39:53.240
<v Speaker 14>many fewer of those global legal policy employees who really

0:39:53.320 --> 0:40:00.239
<v Speaker 14>understand a local government and enlarge governments like India, how

0:40:00.280 --> 0:40:04.320
<v Speaker 14>to navigate those different political stumbling blocks that come about.

0:40:04.960 --> 0:40:08.880
<v Speaker 3>I mean, I'm thinking of Linda Acarino's recent tweet thread,

0:40:08.960 --> 0:40:13.120
<v Speaker 3>and she really wants to make Twitter the open place

0:40:13.400 --> 0:40:17.040
<v Speaker 3>for discussion, and ultimately certain countries are going to find

0:40:17.040 --> 0:40:20.360
<v Speaker 3>that difficult. We know India, of course, does tend to

0:40:20.400 --> 0:40:23.080
<v Speaker 3>fight back against social media. I mean they've banned TikTok,

0:40:23.120 --> 0:40:25.200
<v Speaker 3>for example, one of the any key countries to do that.

0:40:25.239 --> 0:40:28.160
<v Speaker 5>How do you think you can navigate that?

0:40:28.880 --> 0:40:30.520
<v Speaker 6>So, Cara, I'm going to jump in here because I

0:40:30.520 --> 0:40:33.239
<v Speaker 6>think Sarah lost you in her ear. But basically the

0:40:33.320 --> 0:40:35.839
<v Speaker 6>question is what do we know about how Twitter is

0:40:35.960 --> 0:40:40.600
<v Speaker 6>now handling it's global relationships with regulators in different jurisdictions.

0:40:40.920 --> 0:40:43.839
<v Speaker 14>What we know is that a lot of the executives

0:40:43.840 --> 0:40:45.839
<v Speaker 14>who were in charge of trust and safety at Twitter,

0:40:45.880 --> 0:40:48.520
<v Speaker 14>who are in charge of ensuring that the side is

0:40:48.920 --> 0:40:53.239
<v Speaker 14>complying with laws is taking down hate, reature, misinformation and

0:40:53.400 --> 0:40:59.759
<v Speaker 14>violent content that they are, you know, losing a lot

0:40:59.800 --> 0:41:02.600
<v Speaker 14>of the top executives who were in charge. And I

0:41:02.640 --> 0:41:05.359
<v Speaker 14>think that that makes it very difficult because when you're

0:41:05.400 --> 0:41:08.600
<v Speaker 14>working with governments and negotiating with governments, basically this is

0:41:08.640 --> 0:41:11.040
<v Speaker 14>against the law Twitter, you used to fight those cases,

0:41:11.320 --> 0:41:13.560
<v Speaker 14>they used to fight Turkey, they used to fight in

0:41:13.640 --> 0:41:16.439
<v Speaker 14>Egypt and say like no, like we're gonna we're gonna

0:41:16.480 --> 0:41:17.880
<v Speaker 14>keep those posts up. We're not going to give you

0:41:17.880 --> 0:41:20.680
<v Speaker 14>information on those people. What's going to be really interesting

0:41:20.960 --> 0:41:28.000
<v Speaker 14>is to see how how Twitter's changes and fights adjusts.

0:41:28.040 --> 0:41:30.680
<v Speaker 14>Given that their owner, Elon Musk, also has other business

0:41:30.719 --> 0:41:34.080
<v Speaker 14>interests in the countries where Twitter is operating with Tesla,

0:41:34.239 --> 0:41:38.680
<v Speaker 14>with SpaceX was with Starlink, it could get very complicated.

0:41:38.440 --> 0:41:41.400
<v Speaker 6>All right, Bloomberg, Sarah Fryer, thank you here on SF

0:41:41.600 --> 0:41:42.600
<v Speaker 6>all thanks Twitter, Carrot.

0:41:43.080 --> 0:41:45.799
<v Speaker 3>Yeah, notable that that town square that the New York

0:41:45.800 --> 0:41:48.839
<v Speaker 3>from talks about currently talking about, well a football club

0:41:48.880 --> 0:41:50.520
<v Speaker 3>close to our home and at the moment when it

0:41:50.520 --> 0:41:52.920
<v Speaker 3>comes to Manchester United. But we don't have time to

0:41:52.920 --> 0:41:54.759
<v Speaker 3>talk about that because it's the end of this edition

0:41:54.760 --> 0:41:55.680
<v Speaker 3>of a New Bow Technology.

0:41:56.480 --> 0:41:57.919
<v Speaker 4>It's second day of the week.

0:41:58.160 --> 0:42:00.640
<v Speaker 6>Busy week so far, so don't forget you recap with

0:42:00.680 --> 0:42:04.320
<v Speaker 6>the podcast wherever you get your podcasts, Apple, Spotify, iHeart

0:42:04.360 --> 0:42:07.719
<v Speaker 6>and of course on all of the core Bloomberg platforms.

0:42:07.760 --> 0:42:13.840
<v Speaker 6>From New York and from San Francisco. This is Bloomberg technology,