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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8 years ago
Breaking into Analytics: 5 “Musts” for your Career Transition

 In our data-rich society, corporations of all types and sizes recognize the importance of utilizing information to understand their past and shape their future. Many organizations, however, ultimately fail to reap the powerful benefits of analytics as a business tool because, they believe, their analysts have failed to deliver valuable, pertinent insights from the data that can drive business-critical strategies and success. The analytics project that once seemed so promising is forgotten. Was it management’s inattention? Lack of budget? Faulty data or a flawed hypothesis? Or were the analysts on the project not really analysts at all? Analytics

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