A conversation about pricing, the shift from software to AI, and why human intent and taste remain durable competitive advantages.
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Podcasts, webinars, and talks on AI, business decisions, and building teams.
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Amortized Bayesian Inference for MMM: Train Once, Reuse
Our BayesFlow webinar with Stefan Radev, explained through a marketing mix model: how amortized inference works, when it pays off, and how to validate it.
Daimon — From AI Experiment to Company Operating System
What changed when an AI agent moved out of private tabs and into the shared conversations where PyMC Labs actually works.
Agentic MMM: Skills, Guardrails, and the New Job of the Data Scientist
Luca Fiaschi joins the Measure Up podcast to discuss agentic marketing mix models, reliable skills and guardrails, and the changing role of data scientists.
Ask Your MMM Anything: Agentic Dashboards for Marketing Mix Models
How Decision Lens lets stakeholders question marketing mix models directly, the three problems it solves, and the hard parts that remain.
The Only Two Things That Still Matter: Intent and Taste
Luca Fiaschi joins Rocky Khan on Masters of Data, BI & AI to discuss pricing, the shift from software to AI, and why human intent and taste still matter.
Synthetic Buyers: Testing Products and Creatives at the Speed of Software
A summary of my SAMI talk on synthetic consumers: using LLM-simulated buyer panels to pre-screen products, creatives, and messaging before spending real money.
Agentic Data Science: How to Engineer Trust into Analytics and Modeling Agents
Engineering trust and reliability into AI agents for analytics and statistical modeling.
Synthetic Consumers & the Future of Product Testing
Luca Fiaschi joins Retailgentic to discuss how synthetic consumers are reshaping product testing and market research.
Can an LLM Evaluate Ad Creative?
Luca Fiaschi joins Mobile Dev Memo to explore the capabilities and limitations of AI in creative evaluation.
Agentic Systems for Bayesian MMM and Consumer Testing
How two production systems use agentic AI to move Bayesian MMM and consumer testing from manual analysis toward collaborative decision-making.
Agents of Innovation: AI-Powered Product Ideation with Synthetic Consumer Testing
Luca Fiaschi joins the MLOps Community podcast to discuss AI-powered product ideation and testing hundreds of concepts with synthetic consumers.
Bayesian Marketing Mix Models: State of the Art and their Future
A panel discussion with Thomas Wiecki and Alex Andorra on Bayesian marketing mix modeling, practical lessons from HelloFresh, and future directions.











