Data modeling is on life support. Some say it’s dead. The traditional practices are increasingly ignored and forgotten. The result is often a loss of structure and a shared understanding of business rules and vocabulary. At the same time, data modeling is more critical than ever. With AI's rising popularity, many organizations rush to incorporate it into their infrastructure. Without consideration of the underlying data framework, the result will be unpleasant for many organizations. In this talk, I argue that data modeling is a key enabler for success with AI. We must return to basics and revamp data modeling to work with modern business workflows and technologies. Long live data modeling!