Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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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  There’s a surprising twist. While some question whether the prescient machines that drive decisions by way of induction and prediction are trustworthy, an emerging problem is that they often predict too well. Predictive technology is so powerful, it reveals a future often considered private. Millions of operational decisions in finance, marketing, law enforcement, and health care are now machine–driven — often with improved dexterity — using electronic predictions of human behavior, one person at a time. The technology to do this, predictive analytics, is a booming practice that’s taken hold across many industries. Computerized prediction will never

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