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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4 years ago
Can Big Data Lie: A Statistical Paradox

 While I have spent most of my career exploring and leveraging data science, and its associated rigorous analytics, only in the past decade or so have so many managers accepted the obvious- that data driven decision making far surpasses the old seat-of-the-pants approach. The sophisticated  warehouses,  the acceptance of cloud computing, and the huge availability of data  have all contributed to this new way of thinking. Read the following incredible thought that appeared in Forbes magazine. “The amount of data we produce every day is truly mind-boggling. There are 2.5 quintillion bytes of data created each day at

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