As a founder of the Berryville Institute of Machine Learning, Gary McGraw has been researching AI security since before most people knew what machine learning was. He's identified 78 risks across ML systems and was sounding the alarm on recursive pollution and model collapse long before those terms went mainstream. He joins Sid and Lee to break down what practitioners need to understand about the systems they're implementing, why 23 of those risks live in a black box controlled entirely by the foundation model vendors, and what good governance looks like when you can't see inside the thing you're governing.

Julia Bardmesser, CEO of Data4Real and former Chief Data Officer at Voya Financial, brings 25+ years of financial services experience to a conversation about what's actually standing between companies and real AI value. She and Sid dig into why AI layered on top of broken data and workflows delivers little ROI, why the unsexy work of semantic clarity and data management at scale is now more critical than ever, and why the human roles of the future might look less like engineers and more like librarians, lawyers, and judges.

You've heard of UX. You've heard of developer experience. Now meet AX — Agent Experience — and it's about to reshape how enterprises think about their entire tech stack. Lee Harper talks with Vihan Patel of Australia's Mantel Group about what happens when AI agents start bumping up against APIs that were never designed for them, why e-commerce is ground zero for the agentic shift, and the uncomfortable truth that enabling Cursor for your whole dev team doesn't automatically make you faster. They also tackle the governance nightmare of scaling from two agents to twenty, and whether we're heading toward a world where we get paid for decisions, not deliverables.