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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,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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8 years ago
Wise Practitioner – Predictive Analytics Interview Series: Richard Lee at John Hancock Financial

 In anticipation of his upcoming conference presentation, Detecting Incorrect Payments: The Payment Defect Model, at Predictive Analytics World for Financial in Las Vegas, June 3-7, 2018, we asked Richard Lee, Manager of Operations Reporting Consistency at John Hancock Financial, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Most of the work I do is geared towards needle in the haystack type of problems. These are the most interesting cases as overall accuracy is moot point due to the nature of the data. In

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