AI doesn't fix information problems. It exposes them.

AI is forcing organizations to confront a reality they have often ignored for years: information quality matters. In this episode, Kristina Podnar sits down with taxonomist and knowledge management expert Ian Davis to explore why concepts like taxonomy, ontology, semantic modeling, and knowledge graphs have become critical foundations for successful AI deployment. Together, they discuss how AI exposes weaknesses in fragmented information environments, why metadata and information architecture are emerging as strategic business assets, and what leaders must do to create the governance, stewardship, and organizational discipline needed to scale AI effectively. The conversation also examines the growing importance of human oversight, the role of semantic structures as AI guardrails, and why the long-overlooked professionals responsible for organizing enterprise knowledge may be among the most important contributors to successful AI adoption.