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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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12 years ago
Wise Practitioner – Predictive Analytics Interview Series: David Schey of Digitas

 In anticipation of his upcoming conference presentation, Uplift Modeling Versus Traditional Response Modeling – Which One is Right for You?, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked David Schey, Senior Director, Analytic Consulting Group, Digitas, a few questions about his work in predictive analytics. Q:  In your work with predictive analytics, what behavior do your models predict? A:  We model a wide variety of behaviors including response, attribution, spending, attrition, ‘clone’, customer value, market basket, fraudulent activity, next most logical product/product lifecycle, insurance claims, and a variety of credit evaluation dimensions. Q:  How does

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