Machine Learning Times
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The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...
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...
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11 years ago
Trust in Analytics Work: Why it’s Needed and How to Build It

 Much has been written about data-driven decision making. Someone new to analytics in business might reasonably think that the days of gut instinct and experience driving decisions are over, replaced by statistical models, machine learning methods, and optimization techniques. This is not wholly inaccurate but it grossly overstates reality, at least in my experience. The reality is, data and analytics are not enough. To get emotional animals, often working in politically charged environments, to actually change decisions requires a lot of trust and consulting between colleagues. In what follows I’ll discuss an overlooked aspect of building trust in

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