SAIC #034 - Causal Mindset: Combining AI & Causal Inference for Real Business Impact

​From Predictions to Proof: Measuring the Real Impact of AI with Causal Inference

​Most AI teams can build accurate predictive models, but one question often goes unanswered: did the AI actually cause the business outcome to improve?

​This presentation introduces the causal mindset, a practical framework for distinguishing prediction from causation and measuring the real impact of AI in production. You'll learn why predictive models alone can't answer impact questions, how causal inference fills the gap, and how leading companies combine both through A/B tests, quasi-experiments, and Causal ML/AI to understand not just whether AI works, but for whom, when, and why.

​For AI practitioners, data scientists, product leaders, and decision-makers ready to move beyond model accuracy.