World Model · podcast knowledge graph

Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More

2026-01-14 · 99 min · 24 entities

Asserted relationships

  • → hosted by Erik Torenberg, Nathan Labenz person
    0.55
    evidence rules-v4
    Feed author/publisher: Erik Torenberg, Nathan Labenz
  • → discusses Society & Culture concept
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    evidence rules-v4
    Feed category: Society & Culture
  • → discusses Technology concept
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    evidence rules-v4
    Feed category: Technology
  • → discusses Business concept
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    evidence rules-v4
    Feed category: Business
  • → discusses Entrepreneurship concept
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    evidence rules-v4
    Feed category: Entrepreneurship
  • → hosted by Turpentine company
    0.40
    evidence rules-v4
    Feed author/publisher: Turpentine
  • → references aipodcast.ing website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://aipodcast.ing/
  • → references tasklet.ai website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://tasklet.ai/
  • → references Build book
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://mongodb.com/build
  • → references Tcr⁠ website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://claude.ai/tcr%E2%81%A0
  • → references S26 Tcr website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://matsprogram.org/s26-tcr

Entities found in this episode

concepts 10

  • mentioned Society & Culture concept
    0.50
    evidence rules-v4
    Feed category: Society & Culture
  • mentioned Technology concept
    0.50
    evidence rules-v4
    Feed category: Technology
  • mentioned Business concept
    0.50
    evidence rules-v4
    Feed category: Business
  • mentioned Entrepreneurship concept
    0.50
    evidence rules-v4
    Feed category: Entrepreneurship
  • discusses Society & Culture concept
    0.40
    evidence rules-v4
    Feed category: Society & Culture
  • discusses Technology concept
    0.40
    evidence rules-v4
    Feed category: Technology
  • discusses Business concept
    0.40
    evidence rules-v4
    Feed category: Business
  • discusses Entrepreneurship concept
    0.40
    evidence rules-v4
    Feed category: Entrepreneurship
  • mentioned RAG concept
    0.35
    evidence rules-v4
    RAG
  • mentioned SQL concept
    0.35
    evidence rules-v4
    SQL

websites 8

  • mentioned aipodcast.ing website
    0.45
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://aipodcast.ing/
  • mentioned tasklet.ai website
    0.45
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://tasklet.ai/
  • mentioned Tcr⁠ website
    0.45
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://claude.ai/tcr%E2%81%A0
  • mentioned S26 Tcr website
    0.45
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://matsprogram.org/s26-tcr.
  • references aipodcast.ing website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://aipodcast.ing/
  • references tasklet.ai website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://tasklet.ai/
  • references Tcr⁠ website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://claude.ai/tcr%E2%81%A0
  • references S26 Tcr website
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://matsprogram.org/s26-tcr

persons 2

companys 2

  • mentioned Turpentine company
    0.70
    evidence rules-v4
    Feed author/publisher: Turpentine
  • hosted by Turpentine company
    0.40
    evidence rules-v4
    Feed author/publisher: Turpentine

books 2

  • mentioned Build book
    0.45
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://mongodb.com/build
  • references Build book
    0.38
    evidence rules-v4
    Link in episode "Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More": https://mongodb.com/build
Episode description as stored
Baris Gultekin, VP of AI at Snowflake, explains how “bringing AI to the data” is reshaping enterprise AI deployment under strict security and governance requirements. PSA for AI builders: Interested in alignment, governance, or AI safety? Learn more about the MATS Summer 2026 Fellowship and submit your name to be notified when applications open: https://matsprogram.org/s26-tcr. He shares the importance of bringing AI directly to governed enterprise data, advances in text-to-SQL and semantic modeling, and why high-quality retrieval is foundational for trustworthy AI agents. Baris also dives into Snowflake’s approach to agentic AI, including Snowflake Intelligence, model choice and cost tradeoffs, and why governance, security, and open standards are essential as AI becomes accessible to every business user. LINKS: AWS' Automated Reasoning checks Sponsors: MongoDB: Tired of database limitations and architectures that break when you scale? MongoDB is the database built for developers, by developers—ACID compliant, enterprise-ready, and fluent in AI—so you can start building faster at https://mongodb.com/build Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week four at https://serval.com/cognitive MATS: MATS is a fully funded 12-week research program pairing rising talent with top mentors in AI alignment, interpretability, security, and governance. Apply for the next cohort at https://matsprogram.org/s26-tcr Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Claude Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro’s full capabilities at ⁠⁠https://claude.ai/tcr⁠ CHAPTERS: (00:00) About the Episode (03:02) Snowflake 101 and AI (09:25) Text-to-SQL and semantics (19:10) RAG, embeddings and models (Part 1) (19:17) Sponsors: MongoDB | Serval (21:02) RAG, embeddings and models (Part 2) (32:23) Bringing models to data (Part 1) (32:29) Sponsors: MATS | Tasklet (35:29) Bringing models to data (Part 2) (51:14) Designing enterprise AI agents (58:35) Trust, governance and guardrails (01:07:14) Agents and future work (01:15:33) Platforms, competition and value (01:26:04) Enterprise models and outlook (01:40:00) Outro PRODUCED BY: https://aipodcast.ing