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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11 years ago
Wise Practitioner – Predictive Analytics Interview Series: Ken Elliott at Hewlett Packard Enterprise

 In anticipation of his upcoming conference presentation, Operationalizing Analytics: 10 Key Process Areas for Embedding Predictive Analytics into Business Operations, Applications and Machines, at Predictive Analytics World San Francisco, April 3-7, 2016, we asked Ken Elliott, Global Director of Analytics at Hewlett Packard Enterprise, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Being part of Hewlett Packard Enterprise Services, we are fortunate to work with customers across a wide variety of industries and use cases. As a result, our predictive models are pointed

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