Machine Learning Times
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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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7 years ago
Key Considerations in Applying Deep Learning to Predict Consumer Behavior

 The development and application of predictive analytics solutions for organizations is not new, particularly in the area of consumer behavior. Models have been built since the end of the Second World War to predict consumer behavior with the first models being used to predict credit card loss. Direct marketers embraced these same principles and many organizations today now have a variety of predictive analytics tools which can do the following: Acquisition of new customers Upsell/cross-sell of existing customers Defection Models Risk Models Fraud Models Recommendation engines and next best offer With all the discussion raging around AI (i.e.,

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