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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13 years ago
A Good Business Objective Beats a Good Algorithm

 Predictive Modeling competitions, once the arena for a few data mining conferences, has now become big business. Kaggle (kaggle.com) is perhaps the most well-known forum for modeling competitions, using a crowd-sourcing mentality: if more people try to solve a problem, the likelihood that someone will create an excellent solution to that problem increases. The participants, and there have been 10s of thousands of participants since their 2011 beginning, sometimes have no predictive modeling background and sometimes an extensive data science background. Some very clever algorithms and solutions have been developed with, on some occasions, ground-breaking results One conclusion

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