NVIDIA’s Bartley Richardson on Why ‘Agentic AI Is Next-Level Automation’ - Ep. 258

Hello, and welcome to the NVIDIA AI podcast. I'm your host, Noah Kravitz. AgenTic AI is on the tips of everyone's tongues right now, it seems. But what is it? What makes AgenTic AI so exciting, and what should AI leaders like CIOs and IT execs be thinking about when designing an AgenTic AI system for an enterprise? Here to break it down for us, live from GTC twenty twenty five, is Bartley Richardson. Bartley is senior director of engineering and AI infrastructure here at NVIDIA, where he leads AgenTek AI and cybersecurity AI. Previously, Bartley was a technical lead on multiple DARPA projects. He holds a PhD in computer science and engineering with a focus on AI, and he's here right now. Bartley, thanks for taking time out of a busy GTC week to join the podcast. Thanks, Noah. I really appreciate it. That's a great intro, by the way. I'm gonna I'm gonna bring you along with me everywhere I go, and you can do that intro every time. I I'm I'm anything I can for the cause. Happy to do it. So maybe we can start with to put you on the spot, you don't have to define things, but talk about AgenTek AI, what it is, why is it so exciting, you know, in this context of enterprise leaders. Yeah. You know, I I feel like what we're really good at at the in the tech industry, and I'll include us at NVIDIA and that and everybody, right, is we're really good at making things very complicated. It's one of our primary concentrations. Right? And and when I talk with people about agents and agent take AI, what I really want to say is automation. Mhmm. Right? Like, that's the word I really wanna use. But automation used to just get half of it out of your mouth and people fall asleep. Right? So so we call it agents take an agent AI, an agent take AI. And really what it is, it is that next level of automation. If you think about the evolution of automation and how we were doing things manually, and even if you go back to factories, right, and that these types of things, these I don't wanna say mundane, but I obviously just said it, but these kind of, like, everyday repeatable tasks Right. Right, we've come up with better ways to do it. Right? Like, I example, I grew up on a farm in the middle of Ohio, and we we would dig post holes by ourselves. So you get these terrible tools. We we have technology that does this now for us. Right? Agents are very similar. They're just instead of working in the dirt in the middle of Ohio, they're working on massive petabyte scale data silos or, you know, information repositories to take that data, turn on a little bit, do this, like, mundane task, and then instead of returning data that the human has to …