Скачать или смотреть Democratizing Bayesian Modeling with Insight Agents: A Case Study on AI-Assisted MMM

Insight Agents are purpose‑built AI coworkers that transform demanding analytical workflows into push‑button tasks. Built on a modular blend of retrieval‑augmented generation (RAG), tool calling, and sandboxed code execution, each agent automates the full statistical pipeline—from data exploration and validation to model fitting and interpretation—without requiring deep technical expertise.

The session showcases our Marketing Mix Modeling (MMM) Insight Agent, which compresses weeks of Bayesian MMM work into minutes by delegating tasks to specialized sub‑agents. You’ll see how this architecture delivers secure, explainable, and scalable results that let marketers focus on strategy instead of code.

MMM is only the first stop. We plan to extend the same framework to prototype Insight Agents for customer life-time value, causal impact analysis and more. We’ll dig into the design principles, share implementation lessons, and outline the roadmap from today’s collaborative “copilots” to tomorrow’s autonomous digital coworkers that proactively surface insights and drive better business outcomes.

Read More:
https://www.pymc-labs.com/blog-posts/...
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📧 [email protected]


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