Why Data Modeling Is Still Critical for AI‑Driven Teams
Joe Reis argues that data modeling remains vital in the AI era, as sloppy models cause costly firefighting across analytics and ML pipelines. He shows how clear, context-aware schemas cut technical debt and improve downstream predictions, urging teams to revive disciplined modeling practices.