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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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9 years ago
Wise Practitioner – Manufacturing Predictive Analytics Interview Series: Richard Semmes at Siemens PLM

 In anticipation of his upcoming Predictive Analytics World Manufacturing Chicago, June 19-22, 2017 conference presentation, Closing the Loop with Predictive Product Performance, we interviewed Richard Semmes, Senior Director, R&D at Siemens PLM. View the Q-and-A below for a glimpse of what’s in store at the PAW Manufacturing conference. Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing? A: The objective for predictive analytics in manufacturing is really to enable actionable business decisions that impact the way you design, build, or service your products.  The most successful practitioners of predictive analytics in manufacturing use continuously updated

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