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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
The “Data Science” of Computer Science and IT Is Not the Only Data Science

 For reasons perhaps having to do with “siloed thinking” or “not-invented-here” syndrome (things that can affect all teams from time to time), many participants on the Big Data Management (BDM) and Big Data Analysis (BDA) scene have become convinced that there is only one kind of Data Science: that which is run in their corporate or academic shops. You know. Data Science. The only Data Science. This misapprehension has given way to confusion, even among those calling ourselves data scientists, about what to call ourselves. We learned about data and analysis in a graduate (MSc or PhD, or

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