Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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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Limited role for big data seen in developing predictive models

 Many analytics professionals have high hopes for big data, but speakers at the Predictive Analytics World conference struck a decidedly cautious tone when discussing the concept as it relates to building predictive models. “To me, big data is just a hot-flash term, but it’s nothing new to us,” said Gary Miner, senior statistician and data-mining