Instant Consumer Technology Team

Jul 14, 2025 · Artificial Intelligence

Why Causal Inference Matters: From Theory to Real-World Uplift Models

This article explains the fundamentals of causal inference, distinguishes it from correlation, introduces major theoretical frameworks such as structural causal models and potential outcomes, and demonstrates practical uplift modeling techniques—including meta‑learners, double machine learning, and deep causal networks—through a financial credit‑limit use case.