Agentic MMM with Dr. Luca Fiaschi (PyMC Labs)

What this episode covers

There's often a "human API" bottleneck when implementing marketing mix models in a business. What if AI agents could help?That's what we talked about with Dr. Luca Fiaschi, partner at PyMC Labs. Find out how agents can support the full MMM chain - data consolidation and validation, model building with priors and business knowledge, deployment and retraining pipelines, and interactive Q&A for scenario planning - shifting data scientists toward designing agent workflows and guardrails rather than manual iteration. Learn how Skills files can improve coding-agent correctness, token-cost and vendor lock-in concerns. And find out what PyMC Labs is cooking up with their open-source “Decision AI” stack (Decision Hub, Decision Lab, Decision Lens).Links from the show:Decision AI Discord Serverdiscourse.pymc.io00:00 Cold Open and Agents Joke01:17 Meet Dr Luca Fiaschi03:51 What Is Agentic MMM06:11 Agents Across MMM Workflow09:16 Do We Still Need Data Scientists17:44 Skills vs Vanilla Coding Agents25:27 Guardrails, Hard Checks and R-hat28:50 Token Costs and Business Value33:05 PyMC Labs Open Source Strategy36:46 Decision AI Stack and Lens Demo40:11 Agent to Agent Media Buying45:34 Future Foundational MMM Models49:31 Wrap Up Tips and Community

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How long is this episode of Measure Up?

This episode is 54 minutes long.

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This episode was published on June 3, 2026.

What is this episode about?

There's often a "human API" bottleneck when implementing marketing mix models in a business. What if AI agents could help?That's what we talked about with Dr. Luca Fiaschi, partner at PyMC Labs. Find out how agents can support the full MMM chain -...

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