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
5 Ways to Become Extinct as Big Data Evolves

 The need to adopt sophisticated data analytics has become widely apparent to businesses recently, and the necessity of adopting “Big Data” analytics approaches is only becoming more evident. Gartner’s report on Big Data Adoption in 2013 found that 64 percent of organizations have already invested in or plan to invest in Big Data technology, and 34 percent plan to invest within the next year or two. In a rapidly evolving habitat crowded with analytics solutions and open source developments, the pressures of the enterprise environment are beginning to show that Big Data analytics has become a standard adaptation

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