Eric Siegel, Ph.D., is president of Prediction Impact, a consultancy and conference organization that centers on the much hyped but still developing field of predictive analytics. A former machine learning professor at Columbia University, Siegel jokingly considers himself a “recovering academic” during his last nine years as an outside voice to enterprises looking for widespread implementation and training with their predictive models. Ahead of his keynote speech and chairman duties at the Predictive Analytics World conference in Toronto later this month, Information Management caught up with him on the lack of business-side readiness for analytics students, and the “paradigm shift” coming for predictive models.
Give me an idea of the changes in the use of predictive analytics you’ve seen since you starting leading these conferences a few years ago.
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