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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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10 years ago
Wise Practitioner – Predictive Analytics Interview Series: Gary Neights at Elemica

 In anticipation of his upcoming conference presentation, Predicting Behavior in Chemical Industry Supply Chains, at Predictive Analytics World New York, October 23-27, 2016, we asked Gary Neights, Senior Director at Elemica, a few questions about his work in predictive analytics. Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: Predictive models for pharma and retail are often used to influence consumer behavior or give direction to research efforts. These models yield results that are reviewed by experts before being acted upon.   The predictive system for manufacturing supply chains that

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