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
Analytics Assessment: A Blueprint for Effective Analytics Programs

  If you are like me, when you first heard of analytics and its ability to benefit businesses, non-profits, and government agencies, you felt invigorated and excited, having to hold back the urge to shout “Charge!”  As a data scientist, I found this excitement to be well-founded: analytics powerfully leverages data to address important, existential questions facing any organization: Are we effectively meeting our customers’ needs? Are there more efficient ways to reach our strategic goals? For many organizations, this excitement is sufficient to obtain the initial investments needed to get started:  gathering data, assessing IT-resources and tools,

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