Episode 131: Building a Causal Mindset in a Predictive World
A machine learning model can tell you which of your customers are likely to cancel. It can't tell you what would happen if you intervened to change that. Prediction and causation are two completely different problems, and the lessons that make a data scientist good at solving one can backfire if applied to the other. In this episode, Dr Quentin Gallea joins Dr Genevieve Hayes to explore what a causal mindset involves and how causal AI brings causal inference and machine learning together to support better decisions than either can alone. You'll discover: The question to ask whenever you hear "because" [05:20] Where predictive habits go wrong when applied to causal work [06:47] What causal AI actually is, and what it isn't [17:39] How causal AI changes the conversation with executives [23:11] Guest Bio Dr Quentin Gallea is the founder of The Causal Mindset and the author of The Causal Mindset Handbook. He has taught causal thinking to thousands of practitioners worldwide, including from top tech companies, and advises C-suite and data leaders on causal inference and AI impact. Links Connect with Quentin on LinkedIn Connect with Genevieve on LinkedIn Be among the first to hear about the release of each new podcast episode by signing up HERE
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