Snowflake VP of AI on Why Enterprises Hide Behind Governance to Avoid Real AI Transformation | Baris Gultekin | E296

Successful enterprise AI transformation requires a robust data strategy that breaks down silos to establish a single, governed source of truth. Baris Gultekin, VP of AI at Snowflake, emphasizes that AI cannot function effectively without a semantic layer that provides necessary business context for raw data, ensuring accuracy in natural language queries. Rather than treating governance as a barrier, organizations should implement role-based access controls and observability to scale safely. Snowflake’s own internal strategy demonstrates the power of combining a top-down executive mandate with bottom-up access to specialized coding agents, enabling employees to build custom solutions. Ultimately, integrating AI directly into the data platform—rather than moving data to external models—simplifies governance and allows businesses to transition from simple productivity gains to tangible revenue growth through enhanced data utilization.