Machine Learning Times
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Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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11 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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