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 Server

discourse.pymc.io

00:00 Cold Open and Agents Joke

01:17 Meet Dr Luca Fiaschi

03:51 What Is Agentic MMM

06:11 Agents Across MMM Workflow

09:16 Do We Still Need Data Scientists

17:44 Skills vs Vanilla Coding Agents

25:27 Guardrails, Hard Checks and R-hat

28:50 Token Costs and Business Value

33:05 PyMC Labs Open Source Strategy

36:46 Decision AI Stack and Lens Demo

40:11 Agent to Agent Media Buying

45:34 Future Foundational MMM Models

49:31 Wrap Up Tips and Community