From Marhart where Innovation of Money and Power Collie in Silicon Valley, NBN.
This is Bloomberg Technology with Caroline Hyde and Ed Ludlow.
I'm Caroline Hand of Bloomberg's World headquarters in New York, and I May Lovelow back in San Francisco.
This is Bloomberg Technology coming up.
Amazon pushing further into the world of generative AI with an up.
To four billion dollar deal with Anthropic.
We're going to be sitting down with Amazon Web Services CEO Adam Slipski to discuss.
And Hollywood screenwriters strike a tentative deal with studios to end their month's long strike. Rereate down everything you need to know about the agreement.
Plus Apple's cheapest iPhone fifteen.
Well, it's winning over buyers, with wait times for the device almost doubling compared to this time last year.
Yep, let's get straight to our top short story. Amazon will invest up to four billion dollars in the AI startup Andthropic. It is a complicated deal where Anthropic will move its software to AWS cloud, but also the training of its future models to Amazon's proprietary silicon. We are talking about the AI accelerators Trainium and Inferentia. This is kind of an interesting move for Amazon that's done so much work internally on generative AI tools, but now it
looks to a third party. Of course, the clawed large language model is one with billions of parameters. It is one that was already available within Bedrock, the platform that Amazon through AWS offers to build your own llms or
take advantage of pre built skeletons of llms. There are many questions to be posed about the strategy here from Amazon and AWS with regards to generative AI and what's going on with their propriety to take We want to welcome our Bloomberg television and radio audiences worldwide joining us now Amazon Web Services CEO Adam Selipski, and Adam welcome to Bloomberg Technology. I want to start with some of
the mechanics of this deal. Does Anthropic still pay Amazon to use AWS Cloud or is it structured such that the investment that you make in Anthropic is in the form of cash and credits for AWS Cloud?
No, good morning, Thanks for having me.
We're very excited for this expanded relationship with Anthropic, and the investment is a financial investment, as you say, and In addition, Anthropic will be training future versions of its models and running its models on AWS using our training chips and inferential chips. Those models will be guaranteed to
be available for years to come. In our amaz On Bedrock managed service for llms, which provides the very wide choice of models and AWS, customers will actually receive early access to key features in Anthropics models in the future, such as fine tuning and customization of models. In addition, Anthropics are very talented technical teams and we anticipate working closely with them to actually improve future versions of our
training in Inferentia at chips. So there are a lot of different benefits for our joint end customers from this relationship and we're very excited to be leaders in this together.
Adam, there's a lot of emphasis on moving a maker of foundation models at that scale once your proprietary silicon. How quickly will Anthropics start running AI workloads on Trainium and Inferentia.
Well, we've been working with Anthropic, they've been a customers of ours since I think they're founding over a couple of years ago, and so they use a variety of different technologies for a variety of different workloads on AWS, that they'll be using GPUs on AWS and will also be using large quantities of TRAININGUM and inferentia.
So I think everything's going to move very.
Quickly and it'll all be a mix of technologies depending on their needs at the time.
Adam, what's the mood like within Amazon and AWS this morning? There are lots of talented engineers that have been working on large language models generative AI tools internally, and now you're turning to a third party who's highly regarded as a leader in building foundation models.
The mood here is great.
We are a company of inventors who we love to build, and there's never been a better time to be a builder at AWS than right now. And as I mentioned before, a big part of our strategy in AI and generative AI specifically, it's all about customer choice and there's not going to be any one solution that works for all customers for all use cases. And Thropic has done an amazing job. They're clearly a leader in this space, and it's really important for customers that we continue to generate
new capabilities together at the same time. Really one of the hallmarks of our Amazon Bedrock Managed service for generative AI is choice, and so Amazon is going to continue to build its own Titan models, which are going to be available later this year. Obviously Onthropics models are prominent in bedrock, and we will have models from other leading providers as well as we have today. So it's still
an amazing time to build here at Amazon. We think our models are going to be great as well, and it's about customers choosing the right tool for the job.
Talking about choice, and I just want to re welcome our TV and radio audiances with Adam Sleipski. What's so notable is that well Anthropic took a change one hundred million dollars worth from Google already, and I'm interested as to how you feel that is perhaps a concern for you or not the relationship that athropag already has with a previous cloud provider.
Now, we feel great about the relationship with Anthropic. It's been a good relationship and I think today's announcement just makes it a deeper and longer term. Anthropic will use AWS as its primary cloud provider for mission critical workloads, including building foundational foundation models and doing AI safety research, and will run the majority of its workloads on AWS.
So we feel great about being able to provide the capacity and the expertise, and of course the security, the enterprise grade security that is so important to AWS customers. And we also feel great about working with Anthropic to make sure that our trainum and inferential technology, our chips are as as cutting edge as possible going forward for years to come.
I'm interested in drilling down sort of why ED was going about the feeling internally right now, because I look at some of the analyst reaction to this. Adam and Webbush, for example, they say this signals a newfound urgency in Amazon's strategy to further integrate generative AI among your AW.
Suite of services. That urgency was there a lack.
Of understanding or indeed a reality that Amazon was behind the curve here a little bit when it came to the integration of generative AI. Because we've been looking at open Ai and Microsoft for a while now.
We've been saying for many, many months, Carolyn, that we are fully urgent. We have a strategy that we really love. It is different than some other cloud provider strategies. It's true we have a strategy of providing absolutely uncompromising security, which I don't think is true for our cloud providers. We have a strategy of providing customers the choices to use whatever's best for their job at hand. So Andthropic is going to be an amazing set of models for many,
many use cases. And Amazon is fully invested in building its own Titan models, which I think will be really useful for other customers and other circumstances, And of course are other model provider partners through Bedrock. So I really think it's an ill founded premise that there's been some change in urgency. We're fully urgent here on generative AI for one reason and one reason alone. It's because our
customers need us to have great generative AI capabilities. So many of them have their data platforms on AWS, and if you got your data here, you really want to have your generative AI and all the powerful capabilities that you need from those capabilities in the same place. And so we have been, are and will continue to be very motivated to deliver for customers.
Adam, what does this mean for the kind of rampop or path forward for TRAININGUM and inferentia. You've put a lot of emphasis that anthrop It brings you a maker of creator foundation models at scale. We now need to ramp up I guess your third party manufacturing relationships to say, okay, let's get more trainium on more inferential online to support the workloads.
Well, it's absolutely true that there is a huge demand for all of the different ships with which people do a generative AI workloads, and so we absolutely have already been ramping up our training and inferential supply chain and ramping up the supply that we can create as quickly as possible. And yes, Anthropic will have access to very significant quantities of compute which we'll have trainum and inferentia
in them. So yes, that's one of many reasons why we continue to ramp up and to provide a very robust AWS controlled supply chain for AI chips.
And is that where the revenue boost comes, Adam, because we're looking at.
The share price reaction is high on the day. When does this all start to really.
Drive adoption money and the bottom line for Amazon?
Well, I think that AI in general.
Look, AWS has had machine learning services since at least twenty seventeen when we released our sage Maker machine learning service, which has over one hundred thousand AWS customers on it. So we've been doing machine learning for a long time inside of AWS, and obviously more recently have had a significant number of Generative AI customers, and we will certainly
continue to ramp up anticipate quite steeply. We have many sources of growth inside of AWS where a scaled and relatively sizable business at this point, and customers are running their data platforms on AWS. They are building out more and more applications for things like supply chain and contact center management on AWS. I've still a whole lot of storage and compute and database workloads ramping on our ADA,
So we have many sources of growth anticipate. But there's absolutely no doubt that generative AI looks like it's going to be an explosive additional source of growth in the years ahead.
Adam, we put a lot of emphasis on the up to four billion dollars, and you know, I understand and thank you for explaining how the relationship will work in practice.
If I put to you this is an example of Amazon or AWS basically paying a leader in the field of AI, handing over cash to allow to make them use trainingum and inferentia, how would you respond to that and explain to me how you bring new customers on board who are really interested in the AI accelerators that you have built without having to invest in them.
Is a sort of backup.
Sure well, the I think the really big news today is the new expanded relationship between and Propic and Amazon, in which they will have access to really large quantities of trainingmen and fr at chips. Customers will have access to those models, including early access to critical features through Amazon Bedrock and Amazon will get to aws, We'll get to work with Anthropic to ensure that we optimize our trainingment in Ferentia technology going forward.
That's the benefit for customers. And yes, as part of this.
We're pleased to be making an additional an initial investment of one point twenty five billion dollars into Anthropic. It's a financial investment and that could go up as high as four billions, as you said, over time. But it's really driven around customer value and what this is going to mean to customers who are very, very determined as they should be, to figure out generative AI strategies. We already are working in depth with customers, as is Anthropic on forming those.
Strategies and actually moving to execution.
We have a lot of great customers from Lonely Planet, Nexus, Lexis, and a number of others who are actually moving to production with Generative AI on AWS and Anthropic And in addition, as you alluded to, we'll be working with all of the partners that our customers want to do business with. If it's an important partner to our customers, it's going to be an important partner to us as well.
Amazon Web Services CEO Adam Slipski, thank you, Thank you.
Hollywood writers and studios are reaching at tentative deal with on a sund of the weekend to end strikes which began back in May A. Stick into this with someone who's been on it nonstoplum Merg's Luca Sure, and can you just go to the intricacies of what we think a deal has been.
Struck on here.
So the biggest issues are the ones that they hadn't already reached some kind of deal on are related to minimum staffing, so having a minimum number of writers who are hired to work on a TV program, and then data trans parency, slash payment and success, so studios and streaming services being more open about how many people are
watching their shows and then paying writers' bonuses. Basically if they perform up to a certain level, and then some agreement around artificial intelligence and what studios can and can't do with the scripts they own. I have some sense of the particulars on each of those points, but they haven't released the full details of the proposal just yet.
You know, Lucas, the state of production is still worth considering. Right The actors strike is ongoing and talks are ongoing there. But the net result appears to be that, you know, late night talk shows that don't require actors, they might start getting underway soon.
Yeah, the broader guild still needs to ratify this agreement. If sort of the negotiating committees for both sides that have agreed to this, there may be a condition of this where daytime talk shows late night talk shows are able to go back sooner than it's ratified. I believe that happened with the two thousand and two thousand, two
thousand and seven, two thousand and eight writers strike. But either way, people expect the guilt to ratify and in the next couple of weeks we should see those shows get up and running. You're right that production on a lot of film and television can't happen just yet, but they could begin pre production, They could start writers' rooms
for some of those shows you know they had. There were shows that were supposed to be on New in the fall in September that hadn't even started writing scripts yet. So that's something that could begin now.
For many This is a relief for the writers who've been unable to work, but also the entire ecosystem that's built around them.
Lucas and I'm interested.
As to who are the key players, the key figures that got in the room to try and.
Push this forward.
Well, for most of the negotiation you had or the negotiating committee on the writer's side, and then the top labor lawyers on the side of the studios as well as they're representative with this body called the AMPTP, this woman Carol Lombardini. But you also saw in recent weeks and especially over the last week, the CEOs of some
of the biggest media companies get person involved. That included Walt Disney CEO bar Biger, Netflix co CEO Ted Sorrandos, Warner Brothers, Discovery CEO David Saslav, and Donald Langley, who's
the chief content officer for NBCUniversal. They were personally involved in the negotiations for much of last week, and are you know they're not necessarily the heroes of this situation, but their involvement did signal the seriousness with which the studios were approaching the negotiation and put something of a timetable on it.
All right, Bloomberg's Lucas Shaw reporting through the weekend and here on Bloomba's technology, Thank you and a programming alert. In about two weeks, Lucas will be hosting Bloomberg's screen Time in La to cover the collision of Hollywood and Silicon Valleys, bringing together moguls, celebrities, and entrepreneurs already defining the next phase of pop culture. And if you're lucky, your two favorite Bloomberg technology anchors as well.
This is Bloomberg.
We started on General to AI. Let's go there again because the company forethought it's trying to take on some key competitors like Salesforce, for example, in the customer service department by launching auto Flows. It's a customer support tool using simple.
Natural language prompts rather than manual.
Workflows ticket based systems. The whole system is powered by Support GPT. That's four thoughts generative AI model, which is in itself is powered by open AI models. Let's bring in four thoughts CEO Deon Nicholas now for more and there's still and it's really interesting that you're really trying to drive home customer service here in a more natural,
easier manner. Can you just say how much at the moment this is held back by lack of AI, how much you actually think it will change the game and take an individual out of the equation?
Absolutely, Caroline, thanks for having me. And so when we think about the state of the art in AI right now, it's been hamstrung by manual workflows, decision trees, rules, keywords. And that's why every single chatbot we've ever interacted with we get that age old experience of hey, I need to talk to an agent.
I don't really.
Understand what's going on here, right, And so I think this is actually the future for customer.
Support, not fully intererative.
Yet you said within some of the discussion points it requires you still perhaps through the old additional task manually.
But when do you think we might.
Never have to have that age old I need to speak to an agent?
Now?
I think we're very close, right, with auto flows technology, you simply specify the goal or the prompt and you let AI do the rest. And this has become really really powerful where we've already seen this technology live in some of our private beta customers. We're launching or renouncing an open beata this past week, we've seen stats from some of our customers where the customer satisfaction scores have
gone up by twenty seven percent. And we're already serving thousands of conversations on this, So we're already seeing the benefits of auto flows and I think the future is closer than we think.
There are many audience members of limbot technology that will be used to the ticket based system. Some participants in the show also used to it give us one case study, a simple one that your technology will replace.
Yeah, I think a lot of the ticketing system. So if you look at you know, Salesforce and folks like that, they've all been talking about this autonomous AI future. You've seen at the Dreamforce announcement, Einstein Copilot being announced that
it's coming sometime in the future, sometime next year. We're already seeing use cases like Upwork, who've leveraged auto flows for a lot for a few of their workflows in their customer support center, and they've seen improvements in customer satisfaction and deflection rate by leveraging auto flows instead of traditional manual workflows.
In some cases, support GBT is built on GPT three point five, GPT four, GPT four. So what's that been like in the few weeks and months into a last on the show building out the technology with that underpinning.
Yeah, it's been it's been really fun. At forethought, it's kind of in the name. We've always been about bringing the future to now right, and so we've often leveraged our own technologies, our own models, and we also leverage the latest and greatest, and so it started with GPT three point five. I think that was it when I was last on this show, and we've focused on innovating.
It's not just about large language models, which are in many ways new for people, but for us, we've seen large language models over the past few years, and we think the future is about autonomous AI or agentic AI, and so leveraging the latest and greatest technologies not just for language, but for action that can and AI that can go and take action on your behalf and solve customer problems has been huge.
Thirty seconds, Deon, is this going to mean less jobs?
I think long term, I'm extremely bullish that AI will actually create jobs for people. We saw the same in the Industrial Revolution, we saw the same in the move to the Internet. I think a lot of technologies are a lot of industries are going to be changed, and radically more jobs.
Are going to be created over time.
All right, four CEO d On Nicholas, a founder carrier that's building right here and was on the show earlier in the year. It's interesting to track the progress that he's made since then. Thank you very much.
Welcome back to Rumog Technology. I'm Caroline Hide in New.
York and I'm Ed Ludlow here in San Francisco. Okay, for today's going viral, we're focusing on football and Taylor Swift showing up to the Kansas City Chiefs game sitting in Travis Kelsey's box with his mother Donna.
You see her there in Kara. I don't know if you saw this NFL on Fox.
Handle on x posts this video of her celebrating that third quarter touchdown by Kelsey, and the numbers on that video astonishing.
I mean, why does anyone know what the numbers were in the score.
I feel like that none of that could actually focused on in the game. I think it was what ten forty one in the end, absolutely trounced the Bears. But ultimately, I mean, she said in what one of her songs arefore I think it's gold Rush that she liked the Eagles, which I think is where his brother plays. But all of this while what the NFL's trying to talk up who's going to be at their big super Bowl and was again as a nineties kid growing up, I'm all in on who they've decided to choose.
But isn't it.
Ultimately about just entertainment and football really intertwining at this moment.
You know, as a team, we were discussing this about a week ago, was it? And we were saying, no way, Taylor Swift, Kelsey, no way. Look at the social media response and yes, you're right, ten to forty one. But when NFL and Fox tweeted the final score, they had ten to forty one and Taylor Swift in the middle of the image. What a world we live in.
And I'm pretty sure the numbers on the videos got a little bit more for her face being on it across the world of technology, it was trending. Meanwhile, though, let's stay in the world of entertainment for a moment, because we also got a key story to talk about Hollywood writers.
Of course, the studio is.
Reaching that tentative deal over the weekend to end strikes which wegan back in May, and here to discuss it, Stephen will Ferrera, these three pers studios chief business Officer, And what's been so good about you, Stephen, as you come in time and time again since May when they first went on strike, to when you talk about the impact this is having on your industry and ultimately you are you positive, you hopeful that this really might be some coming together now, thanks.
Again for having me, and I am somewhat cautiously optimistic. I mean, the reality is this has had a huge toll on the entertainment industry at large. You know, since May, you've seen, you know, billions of dollars being taken out of the entertainment industry and the reality is they need to get back to work.
So we're glad that we have a ten bent agreement.
It needs now to go to the guild members and hopefully on Tuesday they will vote and ratify this, but it's still going to be some time before folks get back to.
Work precisely, well, certainly from the drama side of things. Dramatic, you still need the actors to work. Yes, you might be able to have some talk shows going back, even you're hopeful and that that's the next shoe to drop it.
Yes, I mean, you know, there's something called pattern matching when you start to negotiate. You know, remember the director's guild, they went back to work a couple of months ago, and so it took a while before we actually saw the writers kind of really come back to the table. You know, they weren't negotiating for for weeks, if not months, and so now all eyes are on sag Aftra. We really need to see, you know, kind of this come to an end.
The good news is the writers will no longer be picketing.
You know, you now have the permission for some of the writers to support their actors and their guild. But but we're hopeful that you know, production can start. You know, once you actually have the negotiations agreed upon, and you know the I is dotted the t's you now are going to have to revamp productions, and so it's going to take a little bit, you know, maybe two or three months for all productions to come back fully.
That's what we're talking about, Stephen, the latency of the impact of these strikes, right, we're talking about the supply chain behind making content. Do you get any sense from your industry in your world, you know, how delayed, how far into the future these strikes will be felt because it takes time to make shows.
That's right.
I mean, you know the first thing that will come back will be talk shows, right, so like late night we'll come back first. You know, some of the daytime talk shows, you know, those are things where it won't be as impacted. But when you think about all the key things that were being negotiated around data about you know, kind of residuals that it comes to streaming, you know in certa with the use of AI, which everyone is
really still very nervous about. You know, those things are still going to kind of take time to really play out, and so we really need you know, Saga after to kind of come back to the table along with the studios and hopefully that could be resolved because if this continues past October, you know, now you're really going to get into all the production schedules, and remember actors cannot promote their films, and so that has a huge impact.
I mean you've seen you know, major you know, big budget films like Doom Too get pushed from you know, twenty twenty three into twenty four.
And so whether it's streaming.
Residuals data AI, those issues are going to hopefully get resolved in some way. It'll be a short term fix, to be sure, but we need the industry to come back because it's impacting everyone. I mean, just look at all the big media companies.
You know.
Certainly Netflix is probably up about twenty percent since May second, when the shrike started, but all the other traditional media companies Disney down twenty percent, Paramount down almost fifty percent. So it really is taking a toll on the industry.
The big media company is big, Caroline. I get the sense also the big names that lead them, right when we speak to Lucas Shaw, Caroline, it's important to know the people around the table that are trying to fix this.
Yeah, and I do think I'm sure to stop a mind. I mean, Ted's around us can perhaps see his share price still going on the higher side. But he was at the table, the CEO of Netflix. We do know that Bob Weigel was there to probably with his shareholders front and center for him as well.
And I'm interested, Stephen, how.
Important you think it is that the leading executives are there in part of the conversation driving it forward.
Look, this has gotten resolved, to be very clear.
We got Bob Eiger from Disney, Ted surrenders from Netflix, Donna Langley from NBC Universal, and David Zaslav from Warner Brothers Discovery. They have been meeting with the Writer's Good of America and that is how this kind of blockage got unblocked. And so why didn't this happen months ago? I mean we're in day one hundred and forty seven of the strike, right, you know, when it comes to Tuesday, you're going to have almost one hundred and fifty days.
I wish people could have come to the table because this has had such an impact. I mean, I don't think people realize that the average you know, kind of wage, you know, the average salary for a writer is about fifty three thousand dollars. You know, it's not kind of all the you know, big you know, kind of top one percent of writers or directors or actors that.
Are getting you know, kind of millions of dollars.
The average person that's being impacted, this is really truly impacted.
And so I'm glad that they came to the table. But that is how this got.
Unblocked, Stephen, when these strikes started, conversation that the three of us were having was about AI and the long term impacts of AI. To your mind, has it just become more clear that pay is the central issue here?
I mean, pay is not just a central issue.
I mean they're all like we are so at the dawn of the AI era, We truly are not going to be able to imagine that once you move past the ability to ask questions to things like Generator AI and chat GPT, when you start moving from questions to actual actions, I mean the ability to do a modern day turing test where you actually tell, you know, an AI chatbot, hey, here's one hundred thousand dollars, go out and make a million dollars on Amazon, and it'll set
up its own store, It'll figure out what are the trending products. They'll do all the marketing, the creative and it will generate a million dollars in sales. That is going to happen. And so every single brand, every single industry, every single person is going to be impacted by AI. And so we haven't even scratched the service on where this is going to go, but I feel like they have with what we know about AI right now. In twenty twenty three, this agreement for the next three years
hopefully kind of puts in place. But this is going to come back in three years time and they're going to have to renegotiate and just imagine the exponential advances that you see in AI. It's going to be here to stay and it's going to rec cadoc on the industry.
Stephen Wolf Prairie, it's been great to get your industry perspective as these strikes have gone on. We will check in soon.
I'm sure.
Let's get a quit check in on the markets, Caroline and now A's that one hundred is kind of turned the corner. We're modestly hire up three tenths of one percent up for a second straight day. We've opened the session loader. But the narrative is about the Fed Central banks around the world holding rates higher for longer to impact the ongoing inflation that we see around the world that has been the narrative of since that FED meeting
of last week. There's an area of the market that I want to check in in on, and.
That is biotech.
What's got to be thinking is we've had all these conversations recently about Boston, and Boston is kind of the heart of this biotech industry. It is an underperformer, down two tens one. It had been down. Even more significantly, this is an index down for a four straight day. It's training at its lowest level since March. We have seen biotech headlines at the terminal terminal for evaluations really under pressure. And I know that it's gonna be a big theme later on the show.
Yeah, Look, we're going to be deep diving into it, ed and I love the fact that you're shining a light on bi Farmer because we're going to look at the state of it, the industry in general, how it's incorporating you guessed it AI more broadly technology. Please to say, we're going to be joined by the CEO of benchling in a moment from New York from San Francisco as a Bloomberg technology.
All right, Time for talking tech and first up.
Apple's Basic iPhone fifteen model is taking almost twice as long for deliveries this year than its predecessor last year. Among high demand for the company's latest handsets. Buyers in the US need to wait for ten days to receive the Basic model, up from six days for the previous
generation of device. And Huawei largely emitted ment of its controversial Mate sixty smartphone series at a grand showcase for its new consumer products earlier today, the company said it will increase smartphone production in response to demand, without naming the handset that's triggered the surge, which has an advanced
made in China processor, causing concern in Washington. Plus, Booking's one point six billion euro takeover of Sweden's E Travelly Group was blocked by the European Union after merger regulators concluded that the proposed acquisition would harm the market for online travel agencies.
Caroline, let's just.
Take a move to global biofarmer.
Right now, the industry is racing to produce better drugs faster, and look, it's going to need two key things technology and AI in fact, to improve the scale and the innovation.
At least that's what the take from bentioning cloud based platform four Scientific Research and Development was just released a report on the state of the buiofarmer industry and its adoption of technology on pleace to Welcomeventioned CEO co founder as well Sajig with Gramstaktra and for us, who's joining us now and Saji, how are you seeing the adoption of technology or lack thereof in your biotech industry right now?
Good morning and thanks for having me as quick context, We started Benchling a decade ago to bring modern software to cutting edge science. Today, R and D cloud is used by more than twelve hundred companies globally small and large, so think household names like Gilead and Sonofi to capture and structure their scientific data, often for machine learning, but broadly in service of bringing cutting edge, life changing products
to people faster. I actually just got back from bench Talk, our annual customer conference in Boston, where I spoke with hundreds of scientists who are working on everything from gene editing cures to heart disease, to personalized cancer vaccines to treatments to slow the progression of Alzheimer's. So needless to say, it's a very exciting time to be in science.
Now.
How much is in the nation sharing been a blocker sergy? How much is what you're offering going to change the game or not, because for many you would feel that that collaboration, that sharing of information is already occurring within that labs.
Yeah, to state the obvious, science is incredibly complex and difficult, and anecdotally at Benchlin we've always we've known some of the challenges posed by technology for progress in the sciences. You know, you have paper notebooks and spreadsheets and really old, homegrown and legacy technology that makes it hard to collaborate.
But my inner scientists always wanted more, more primary data to really quantify the progress the industry has made and to understand how much work there is in front of us to do so. This summer we spoke with hundreds of scientists, R and D leaders, and IT executives and produce the first State of Tech.
In Biopharma report.
The headline, Carolyn, is that this is an industry that hasn't really seen the benefits of digital transformation yet, but it's one of the strees that needs it the most. If I dive into the data. The first thing scientists told us is that there's actually too much software, and I hope you see the irony of the ZEO of
a software company saying that there's too much technology. But scientists on average have to use more than five highly specialized scientific applications per day to do their job, and these applications aren't the same throughout the entire organization. Some of the IT executives we spoke to have to manage an environment with hundreds of different tools that actually don't
talk to one another. Only twenty eight percent of organizations feel like that data generated is actually interoperable, and that's a big problem when eighty four percent of organizations project that their data is actually going to double in the next twelve months.
So zooming out.
This is an industry that's funding tens of billions of dollars in R and D outside of clinical trials, and most of that knowledge ends up trapped in silos.
So you told us about technology for progress, I would say the vast majorities of conversation that Caroline and I have about AI in the healthcare more specifically biotech biopharma use case is how it expedites drug development or gene therapy development. How does your research reflect that that that's the area of most focus right now.
Yeah, we found that about sixty percent of organizations are testing the waters with machine learning and AI, and I think that's very much a bright spot, but there is skepticism as to the near term impact that it's going to have. We really see two major challenges that are holding the industry back from realizing the full potential of.
AI and mL.
The first is a talent gap, you know, being best in class that requires some of the brightest mines in science, but also some of the brightest minds from technology, data science and machine learning, and historically these are two industries that actually haven't mixed that much and have very different cultures. The other major challenge we see is in having purpose built tools that actually advance the science, and that's where we're spending our time investing.
I've met so many highly qualified people PhDs working in this field who complain that a lot of their time in the lab is spent pipetting, holding from one stage to the next. But it raises questions about automation, and that seems to be an area more near term where machine learning in conjunction with hardware can be really helpful.
Yeah, we actually just launched a new product in support of that at bench tark our customer conference. A majority of scientific experimentation involves instruments, and that's where vast majority of the data generation is happening, and so we've been focusing some of our investments on automating the flow of data out of instruments and into systems like bentioning for automated data analysis and capture in supportive machine learning.
SERGI. It's great to have some time with you.
Stay well, come back, Sargethwick Grama Sakuri is it for the CEO of mentioning me?
Thank you?
What a deep dive on a fintech pin up At the moment, while it's expanding further into the last in American market promise of expanding financial inclusion in the region through access to pretty much comprehensive ecosystem of financial services, it's currently over five million news is in Argentina, Columbia and now Mexico after getting approval for a banking license in Latin America's second biggest economy. That happened earlier this year.
For now, let's talk about the story WOD Wallas expansion. The founder CEO, Pierre Barlo Barbieri, it's great to have you.
In the studio.
Thank you.
And what's so interesting at the moment is the way in which you expand outside of Argentina. Already pretty dominant there, intermix. Why is Mexico so attractive? What is it that really boosts the business left?
Mexico is an amazing market where you only have forty nine banks, and yet ninety percent of all transactions are still conducted in cash, right on the border with the United States, and so the opportunity for financial inclusion and
for technology in financial services in Mexico is ginormous. You have seventy million people who've never had a debit card, who've never been able to save, who've never been able to take payments, and so as this digitizes in the next decade, we want to be there and we want
to bet on it big. That's why we just acquired a bank in Mexico and we can now offer everything from payments to savings accounts, how you'll savings accounts in Mexico and also charging services, investments and a variety of things making up an ecosystem of all financial services.
Vcs have been betting on you big.
I'm sure because of that intersection of well, your experience a Bridgewater with SROs.
With Goldman, you were there.
You're bringing this financial focus to your home. What are some of the issues in particular when you're thinking of inflation, when you're thinking of political instability.
I mean, we think at the moment of one of the front runners for Argentina.
In particular talking of dollarization and enter the central Bank, how does that affect you as a business leader.
I think the digitization of payment is a global trend that is going to happen everywhere and in emerging markets. It has the opportunity to leap frog developed markets, as we saw China didd faster than many other developed markets like the Europeans or even Japan, and we then saw it in India, then we saw it in Brazil, and now in the rest of Latin America we see an amazing opportunity.
We launched WALLA five and a half years ago. In Argentina.
We have seventeen percent of the adults in the country and.
We give them tools to save with.
While they can buy dollars already, they can invest in US equities. They can have the best Hiel Saying's account in the country and protect themselves against inflation. But we also see that in Colombia. We also see that in Mexico. So we see an opportunity that is very wide ranging in a region of the world that is lagging because only twenty percent of payments are digital. One of the very few things I know is that in the future that number is going to go to forty to sixty
to eighty, as it did in Brazil in India. So it's a one way street. And the political noise has always been there and we need to learn to live with it. But I do think that in the case of Argentina, it is moving toward a more pro market stance with the elections that are coming up in October.
Per Polo, If Heavier Milae is successful and he does dollarize the economy and he does close the central bank, how do you prepare Walla for that? How do you change your business model to take that into account?
Well, of course, the first thing is that is that in Argentina only banks are allowed to have dollar accounts. Already, we already offer dollar trading in Walla, whereas FinTechs and wallets kind of do it, and there we have the strength of having.
Fully regulated entities that allow us to do.
Everything from investments to lending, and in this case dollar accounts, we've seen this. I mean, what I think will happen in Argentina is that we're going to move toward a more open capital account and that's how we already operate in Mexico, That's how we already operate in Colombia.
And once again, the speed.
Of the digitization of services with a dollar would only accelerate, So in that sense, it would be actually very positive for the business. And I think banks would be able to do longer term lending. Today, our longest loan the in the context of one hundred percent inflation is two years, just two years.
Imagine that in a country.
Where you offer thirty year fixed mortgages. So the opportunity for lending in places like Argentina is huge because only seven to eight percent of people have access to formal credit today, and in a dollar rice economy, I think that number would go up a lot.
Piapello quickly. You know, Mexico is a parallel example. Cash is king transactions to cash, So what's the technology opportunity for there AI or otherwise.
Well, what we have in Mexico is first of all, a full ecosystem of services. Pay your bills, top up your cell phone, have a debit card, pay for Netflix or Spotify, or be able to sign up even for Bloomberg, all those things Mexicans couldn't do in the past because they were condemned to cash. They even charged you a fee to pay your water bill or your electricity bill.
Willa does away with all that, and it lets you.
Create a credit history like we have an Argentina where we already done more than five million loans, and that gives us the opportunity to create a new credit history and also offer a highal savings account, which in Mexico is a huge differential in a market where most people got zero for their money and no longer.
Yeah, you come to New York a bit come back, Pierre Bavieri. It's called the foundery CEO of Will we thank you for it? Meanwhile, that does it for this edition of Bloembag Technology.
Yet, Yeah, recap the show on a podcast, Apple, Spotify, iHeart and the Bloomberg platforms here in the SF in New York City.
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