Predictive models break down the moment a business makes a decision - because they model historical patterns, not the forces driving them. This upcoming whitepaper introduces a scalable Causal AI framework built for the messy, high-dimensional reality of enterprise data.
SHAP and LIME tell you what a model learned from historical data - not how the world actually works. Here's why feature importance scores can't answer causal questions, and what enterprise decision-makers actually need from AI.