Eye On A.I. #327 Baris Gultekin: The Next Phase of AI - Agents That Understand Your Company's Data
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Mar 19, 2026 
Baris Gultekin, Head of Product for AI at Snowflake who previously led Google Assistant AI work, explains running AI next to governed enterprise data. He discusses data agents, governance and guardrails, retrieval quality, model choice and agent orchestration. Conversation covers production-scale deployments, productivity gains, and how leaders prepare data and culture for AI-powered decision making.
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Process Large Data In Place At Scale
- Build products that process large volumes of enterprise data in-place for extraction, classification, and summarization.
- Snowflake enables batch processing of text, images, and video stored on the platform to scale AI analysis across datasets.
Retrieval Quality Trumps Model Hype
- High-quality retrieval across structured and unstructured data differentiates data agents.
- Snowflake Intelligence focuses on semantic models and structured retrieval to answer business intelligence questions reliably.
Bake Governance And Evaluation Into Agents
- Design governance, observability, and evaluations into agent creation flows from day one.
- Snowflake provides agent observability and evaluation tools so customers can define good answers, measure performance, and tune agents.