Machine Learning Times
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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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8 years ago
Wise Practitioner – Predictive Analytics Interview Series: Haig R. Nalbantian at Mercer

 In anticipation of his upcoming conference co-presentation, What Millennial Employees Actually Value: Lessons from Predictive Modeling, at Predictive Analytics World for Business Las Vegas, June 3-7, 2018, we asked Haig R. Nalbantian, Senior Partner, Co-leader Mercer Workforce Sciences Institute at Mercer, a few questions about his work in predictive analytics. Q: In your work with predictive analytics, what behavior or outcome do your models predict? A: Our Workforce Sciences team has been applying advanced analytics to inform workforce management decisions since the early 90s. We work with two broad classes of models: the first, Internal Labor Market (ILM) Analysis® is

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