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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: Aaron Lanzen of Cisco

 In anticipation of his upcoming conference presentation, Integrating Predictive Models within a Rules Engine for Resource Allocation, at Predictive Analytics World San Francisco, March 29-April 2, 2015, we asked Aaron Lanzen, Solutions Architect – Business Rules & Analytics at Cisco, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? A: Most of the rules and all of our behind-the-scenes modeling activities are designed to give the engine as much “situational awareness” as possible to accurately predict engineer, customer, product, and system behaviors.  The goal is

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