Most AI initiatives don’t fail because of bad models; they fail because of messy, undocumented, or unowned data. This live workshop breaks down a practical framework for getting your data ready for AI use, without buying new tools or rewriting everything.

What you’ll learn:

• Why “just connect the warehouse” doesn’t work
• The three foundations of AI-ready data: ownership, context, and quality
• Lessons learned from building AI on top of real enterprise data

Who should attend: Data leaders, analytics engineers, and analysts who are under pressure to “do AI” but aren’t sure if their data is ready.