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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9 years ago
Wise Practitioner – Predictive Analytics Interview Series: Bin Mu at MetLife

 In anticipation of his upcoming conference presentation, Establishing Value: The “Making Impact Through Analytics” Framework, at Predictive Analytics World Boston, Sept 27-Oct 1, 2015, we asked Bin Mu, Vice President, Business Analytics at MetLife, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: We use predict analytics to power the business functions across insurance operation.  For example, when it comes to Channel, we use marketing mix, channel optimization to drive volume; for Acquisition, we have propensity models to uplift response, retention and cross-sell; for underwriting, we

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