uplift modeling
2 posts2 contributors
+ FollowBe the first to follow this
Write about itArticles about uplift modeling
Beyond Correlation: Causal Inference in AI-Driven Churn Prediction and Pricing
Correlation tells you what is happening; causation tells you what to do about it. In churn prediction and pricing, acting on correlation leads to margin erosion and ineffective interventions. By integrating Causal Inference and Uplift Modeling into a LangGraph multi-agent architecture, supported by RAG over historical experiments, enterprises can build pricing engines that are not just predictive, but truly prescriptive.
Causal AI You Can Ship: From Correlation to Decisions
Move beyond predictions! This article details a practical approach to Causal AI, emphasizing clear questions, logging, guardrails, and audits. Learn how to optimize for incremental impact and drive better decisions.
