5 AI Data Management Tips from the Father of Data Warehousing

A data-warehouse pioneer outlined five principles for managing data in the AI era, emphasizing better governance and adaptation.

The brief also highlighted tools like opencodex and shifting preferences in AI development workflows, including Claude Code and OpenAI.

Supabase founder research suggests startup leaders are spending less time on implementation details and more on customer acquisition and operations.

Overall, the trend is moving from tool selection alone to broader strategy: how to manage data, choose AI tools, and build a business.