All year, I've watched the same pattern play out. AI teams ship fast: Foundry over SharePoint, agents live in weeks. The extraction, transformation and data quality fixes happen inside the model, paid for in tokens. And now the bills are arriving. Meanwhile, data teams who've spent years asking for platform investment say "foundations first", and lose the room.

I've been on the losing side of that conversation. This session is how I learned to win it.

Starting from the business value you're chasing, we'll build an enterprise architecture that separates knowledge from data: strategy pillars underneath, a consumption layer on top, and Microsoft IQ pulling it together.

I'll share my AI ready data design model: three principles, scored against value, feasibility and cost, so teams decide with numbers rather than vibes.

The next AI build will land on your desk whether the data is ready or not. Let's make sure data people are in the room, and that we're part of shipping better, faster.