Proper AI depends on proper data, but many in the AI space don't know data. There are many data practitioners who stay away from AI. In this discussion, I'll explain why that is so, why it is bad, and what can be done about it. Takeaways: 1. AI only succeeds when data and AI professionals work together. 2. In almost all AI teaching, external data magically appears, but there is a lot that goes into sourcing and transforming data. Who Should Attend: Everyone, espcially those with less than 15 years of experience. Action Item: Understand no one person can do everything, and we need a diverse group of skills on a team, INCLUDING experienced data professionals. Without Data, there is no AI. Tom Wilson, MBA, CAITL is a data professional with over 25 years of data delivery in Data Warehousing, Data Analytics and complex Data Transformation programs and projects.