Businesses are pouring millions into generative AI—chatbots, copilots, “agents”—while quietly ignoring the other half of the AI stack that’s been delivering measurable value for decades. Predictive AI doesn’t write poetry. It predicts who’s going to churn, which transaction is fraud, and which customer is worth contacting. It calculates probabilities and helps you act on them at scale. Not glamorous. Just effective.

In this conversation, Eric Siegel—author of The AI Playbook and founder of Machine Learning Week—makes a subversive claim: most organizations should be investing at least as much in predictive AI as generative AI. The problem isn’t the math. It’s the gap between tech and business. Companies celebrate models as value. But the model isn’t the value. Acting on predictions is.

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