This session is for CPOs ready to move past AI hype and confront the necessary, high-stakes organizational changes: - The talent reset: We will define the required skills—from the Prompt Architect to the Ethical Data Steward—and discuss which legacy Product Manager competencies must be immediately re-skilled or retired. - Re-engineering the Org chart: Where does power reside? We debate how CPOs must restructure the relationship between Product, Data Science, and Engineering to integrate MLOps and avoid becoming a bottleneck to AI velocity. - The R&D reckoning: The value has shifted from visible features to invisible data infrastructure. How do CPOs justify resource shifts toward governance, model refinement, and proprietary data moats over traditional feature velocity? Join us to debate the strategic, structural truths required to build a product machine that is AI-native, scalable, and built to win.