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
