Culture eats strategy for lunch, and on this episode it eats your AI roadmap too. Sid Atkinson sits down with Mathias Vercauteren to make the case that data is the fourth production factor, AI is the fifth, and most companies are managing both with a fraction of the rigor they apply to money and people. They get into why Amazon runs circles around competitors who sit on far more data, how shadow AI quietly outgrew the old BYOD headache, and what the EU AI Act signals for everyone operating outside Europe. Mathias also lays out where to actually begin on Tuesday morning, and the answer is refreshingly unglamorous: start counting what you've got.

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.