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AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
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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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7 years ago
Key Considerations in Applying Deep Learning to Predict Consumer Behavior

 The development and application of predictive analytics solutions for organizations is not new, particularly in the area of consumer behavior. Models have been built since the end of the Second World War to predict consumer behavior with the first models being used to predict credit card loss. Direct marketers embraced these same principles and many organizations today now have a variety of predictive analytics tools which can do the following: Acquisition of new customers Upsell/cross-sell of existing customers Defection Models Risk Models Fraud Models Recommendation engines and next best offer With all the discussion raging around AI (i.e.,

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