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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12 years ago
A Critical Step Toward Organizational Data Maturity: Thinking in Terms of Distributions!

 For more from the Josh Hemann, see his presentation on Cheating Detection in Call of Duty at Predictive Analytics World for Business, March 29 – April 2, 2015 in San Francisco. I have done analytics work in scientific, engineering and business settings and learned that each has its own culture and set of expectations around the communication of data. The first setting I worked in was scientific and the hallmark of good presentation was having clean visualizations with just enough annotation and figure captions to allow the graphics to stand relatively alone. The ethos was to “let the

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