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The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
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10 years ago
Wise Practitioner – Predictive Analytics Interview Series: Dean Abbott of SmarterHQ

 In anticipation of his upcoming conference presentation, The Revolution in Retail Customer Intelligence, at Predictive Analytics World New York, October 23-27, 2016, we asked Dean Abbott, Co-Founder and Chief Data Scientist of SmarterHQ, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: I’ve built models that predict a wide variety of behaviors and patterns. A short list is provided here: Customer behavior: response, churn, product up-sell and cross-sell, best marketing creative, days to next purchase, days to next visit; Signals (radar): tank, truck column

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