In The Loop - Chicago Data and AI Podcast

The team dives into AI Governance for Executives, exploring what a real AI governance program looks like for leaders, whether data governance needs to come first, and how to define success beyond a slide deck.

They tackle the central tension of whether organizations can afford to wait for clean data before governing AI, and walk away with concrete first steps any executive can take Monday morning.

The team tackle whether data quality is truly a prerequisite for AI or just the excuse teams use to avoid starting, exploring how much "clean" is actually enough before Copilot, agents, and self-service AI become more risky than useful.

They break down what a practical definition of done looks like, who really owns data quality in a Fabric tenant, and what company leaders need to plan before they greenlight an enterprise AI rollout.