[Music] For centuries, financial institutions have been the backbone of global economies. They built trust, powered progress, and shaped the world we live in. Financial institutions lose billions to fraud every year.Because fraud isn't static. It evolves, hides in patterns, and strikes before legacy systems can respond. A single breach can unravel trust and trigger regulatory fallout.DVN delivers the speed, scale, and intelligence to detect threats in real time, analyzing massive data flows and exposing hid ...

For centuries, financial institutions have been the backbone of global economies. They built trust, powered progress, and shaped the world we live in. In highfrequency trading, speed isn't just a competitive edge.It's survival. Markets move in microsconds. Opportunities vanish before human eyes can react.Every delay, every missed signal, every nancond of latency can ripple into loss. DBN delivers ultra low latency, massive throughput, and real-time responsiveness, enabling financial institutions to trade at ...

and and you take that and you combine it with the omniverse which I think is the most phenomenal thing out there and instead of doing things in in the physical world you say well I'm going to develop a drug to solve some disease but it's very very costly it's billions of dollars it's years and years and there's FDA approval and I don't know if it's going to happen or not and we have 10 different avenues that we need to explore we cannot do them uh in sequence we cannot do them in parallel so we're going to ...

Every second, an autonomous vehicle makes hundreds of life or death decisions. But here's the problem. Those decisions are only as good as the data behind them.Sensors capture trillions of points every second. The challenge isn't the sensors or algorithms. It's when information sits scattered across systems, processing lags, critical insights vanish.We saw a different path. vehicle sensors, training simulations, realworld testing. DDN unifies everything into one intelligent stream, all flowing through infra ...

It was crazy. So, supercomputers were starting to get deployed at massive scale in research facilities and government agencies and academia. And these supercomputers had enormous processing power, but there was no data infrastructure to really keep up with them.We set out to develop the technology that would power the supercomputers in order to enable these organizations to advance science in in a variety of applications and use cases. ...

And that's society's progress. Now see this is technology revolutionary. An espresso machine is revolutionary.Take something complex, simplify it, makes it available to everybody at a price point which is affordable by everybody. And that's society's progress. I mean that's what AI is doing.Right. Right. I always take it back to the Gutenberg Bible. What did the Gutenberg Bible did do 500 years ago.Basically democratize knowledge. AI is doing is that access to information plus the ability to create. That is ...

and and you take that and you combine it with the omniverse which I think is the most phenomenal thing out there and instead of doing things in in the physical world you say well I'm going to develop a drug to solve some disease but it's very very costly it's billions of dollars it's years and years and there's FDA approval and I don't know if it's going to happen or not and we have 10 different avenues that we need to explore we cannot do them uh in sequence we cannot do them in parallel so we're going to ...

It's a new way of interacting with your company's data. You know, instead of retrieving data, you figure out what's in it. You maybe modify it and store it back.You're in a lot of ways talking to your company's data. >> Yeah. You have questions for your company's data. Your company's data speaks back to you, >> tells you what you need to know.uh you might have a fair amount of insight that's uh distributed in your company's raw data that is now in this uh semantic form and uh you would like to have agents A ...

Essentially what you're trying to do is you're trying to convert data into information. AI struggle sometimes is it has to read a large swath of multimodel data at all times and convert that to information which could be a small little nugget that you actually need. You don't need to move large swats of data every time you need to do something.We're just going to focus on the metadata layer and that gives you context and converts data into information in real time. Right. So as soon as the data comes in, ho ...

Everyone wants to talk about the future, but few can say they've built the one we're standing on now. >> DDN is at the forefront of this movement. DDN has been called AI's bestkept secret.>> DDN laid the groundwork long before AI had a name. You know, our journey started out in high performance computing. So, Nvidia and DDN found our friendship and our long-term partnership through that origin.For over two decades, we've powered supercomputers that mapped the human genome, modeled the climate, and trained a ...