People Managing People Why Every Org Should Be Investing in Predictive AI
Mar 3, 2026
Eric Siegel, author and predictive analytics expert who founded Machine Learning Week, argues for investing in predictive AI alongside generative tools. He explains why prediction models drive measurable business actions. He contrasts predictive and generative approaches, highlights deployment gaps, and outlines practical frameworks for turning predictions into decisions.
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Predictive AI Drives Practical Business Value
- Predictive AI is the less glamorous half of the AI stack that drives measurable business outcomes by estimating probabilities for individual cases.
- It targets marketing, catches fraud, and automates high-volume decisions without human involvement when integrated into operations.
Stop Calling Models The Value
- Don't treat predictive AI as just a data science project and assume the model equals value.
- Prioritize operational integration and acting on predictions through cross-functional collaboration.
Invest Predictively As Much As Generatively
- Most organizations should invest at least as much in predictive AI as in generative AI because they solve different operational problems.
- Gen AI gets disproportionate attention despite predictive models often producing direct ROI across large-scale operations.
