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
Why Your Analytics Must Ask the Data “Good” Questions — Ones that Reduce Data

 The problem of monetizing Big Data, or improving its usefulness in decision-making, stands out in every forward-looking organization today. To solve it, as everyone knows by now, it is not enough to store or manage it. We must analyze.  Hence, the term—what else? —“Big Data Analytics” (BDA). Yet in spite of the overwhelming need for BDA, without which Big Data is just more data, “Computer Science-IT Data Science” (CSIT DS) focuses the great majority of its effort on data storage and management. Most of its work could more properly be described as Big Data Management (BDM). BDA is

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