Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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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8 years ago
New Book: Stephen Few’s “Big Data, Big Dupe” Smackdown

 Five years ago, in 2013, two emerging advocates for Big Data raised its public profile to the highest level it had enjoyed by then, and possibly since. They punched through the oblivion of anyone who needed to hear about it, but had not been vouchsafed the secret handshakes; and too many who tried to understand it and couldn’t; or who didn’t understand it, but thought they did. The book was sensationally entitled Big Data: A Revolution That Will Transform How We Live, Work, and Think, by Viktor Mayer-Schonberger and Kenneth Cukier (New York, NY: Houghton Mifflin Harcourt). (Hereafter, M-S&C.) It

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