The Future of Agentic Data Science

The Future of Agentic Data Science

From Vanishing Gradients by Hugo Bowne-Anderson

May 25, 2026 · 1h 5m

About this episode

The episode discusses how agentic data science can transform data science from a cost center into a decision intelligence hub.

So I think we’re really at a historical moment, and the opportunity is massive. Almost 15 years ago, we were promised that data science was going to be this incredible thing and create all this value for people. And I think nowadays it’s mostly viewed as a cost center in most companies. I think we can really now fulfill that original promise with agentic data science. Thomas Wiecki , Co-creator of PyMC and Founder at PyMC Labs , joins Hugo to talk about how agentic data science is finally fulfilling the promise of Decision Intelligence. We Discuss: * Decision Engines : Transform data science from a cost center providing cryptic answers into a real-time decision intelligence hub delivering actionable outcomes; * Tame the “Garden of Forking Paths” : Overcome human shortcuts by running parallel analyses to provide an honesty check , revealing the true robustness of business conclusions; * Multiplayer Data Science : Foster organizational learning by moving agents into team chats , democratizing “what-if” questions and reducing context-switching friction; * The Full Agentic Data Science Stack : Beyond harness and skills , the full stack includes orchestration for parallel analyses and…

People in this episode

Host: Hugo Bowne-Anderson

Guest: Thomas Wiecki

Topics covered

  • agentic data science
  • decision intelligence
  • organizational learning
  • real-time decision making
  • data science transformation

Keywords

  • data science
  • decision engines
  • parallel analyses
  • agentic dashboards
  • professional judgment

Mentioned in this episode

Organizations: PyMC, PyMC Labs

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