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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4 years ago
Wise Practitioner – Predictive Analytics Interview Series: Keith Higdon at ESIS

 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial, May 31-June 4, 2020, we asked Keith Higdon, President, ESIS, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, Upending the Claims Process with Predictive Analytics, and see what’s in store at the PAW Financial conference in Las Vegas Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Traditional analytic models in the workers compensation industry can predict the probable severity of

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