The most important shift in AI isn't better chatbots. It's the arrival of agents that can work independently.

Give them a task before bed and they may finish it before you wake up. They can write code, access tools, analyze information and make decisions without a human in the loop. The productivity upside is enormous but so is the potential risk.

In this episode, NVIDIA's Dave Barry breaks down what enterprises are learning about autonomous agents, from secure runtimes and policy controls to observability, governance, and limiting blast radius when things go wrong.

The technology is getting more capable by the week.

The real challenge is making sure it stays pointed in the right direction.

Support for this episode provided by: CrowdStrike

More about this week's guest:

Dave Barry is a Senior Solutions Architect and Data Scientist at NVIDIA. His team focuses on NVIDIA AI software for Agentic AI and accelerated computing. While his background is rooted in computer vision, he enjoys tackling problems across every corner of AI. 

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