Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
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,...
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7 years ago
Asking the Right Analytics Questions and Whether Tiger Woods is better than Jack Nicklaus

  One of the most fundamental contributions we can make as consultants is to help our clients ask the right questions of their data. We’re often asked to help solve problems that turn out to be too broadly or too narrowly defined—or are not aligned with achieving business goals or eliminating pain points. I often find we can draw an example from the world of sports. A question I’ve often seen debated (and wish that I was asked more often) is, “Will Tiger Woods beat Jack Nicklaus’s 18 major wins?” This question is especially relevant given Tiger’s recent

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