
Mike & Tommy dive into what it actually means to make data AI-ready, drawing on James Serra's series of articles to explore whether "AI-ready" is a new idea or just good data practice with a new label — and how teams can close the gap between a Copilot demo and a trustworthy answer.
They break down the roles of semantic models, metadata, agent instructions, and governance tools like Prep Data for AI and Fabric Data Agent, and walk away with practical guidance on where to start and what to stop doing.
Context: https://www.jamesserra.com/archive/2026/09/what-does-it-mean-to-make-data-ai-ready/, https://www.jamesserra.com/archive/2026/09/microsoft-tools-for-making-data-ai-ready/, https://www.jamesserra.com/archive/2026/10/prep-data-for-ai-vs-fabric-data-agent-instructions-what-goes-where/
News: https://www.meetup.com/chicagolandpowerbi/events/316158549/?eventOrigin=group_upcoming_events, https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/the-next-chapter-for-cicd-in-fabric-warehouse-preview/5401222, https://community.fabric.microsoft.com/blog/fbc_fabricupdatesblogs/use-onelake-as-native-storage-for-azure-databricks-preview/5377939
Get in touch:
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