Machine Learning Times
Machine Learning Times
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Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
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6 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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