Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...

Archive for January, 2026

Government by AI? Trump Administration Plans to Write Regulations Using Artificial Intelligence

 Originally published on ProPublica, January 26, 2026. The Transportation Department, which oversees the safety of airplanes, cars and pipelines, plans to use Google Gemini to draft new regulations. “We don’t need the perfect rule,” said DOT’s top lawyer. “We want good enough.” The Trump administration is planning to use artificial intelligence to write federal transportation regulations,

From Text To Tables: Why Structured Data Is AI’s Next $600 Billion Frontier

 Originally published on Forbes, January 15, 2026. In the current wave of generative AI innovation, industries that live in documents and text — legal, healthcare, customer support, sales, marketing — have been riding the crest. The technology transformed...

For Managing Business Uncertainty, Predictive AI Eclipses GenAI

  Originally published in Forbes The future is the ultimate unknown. There’s no more coveted business knowledge than, “What’s going to happen?” Yet, since we can’t eliminate uncertainty, we can only do the next best thing: Manage it....

AI Business Value Is Not an Oxymoron: How Predictive AI Delivers Real ROI for Enterprises

  Originally published in AI Realized Now “Shouldn’t a great model be a sure bet to deploy?” Eric Siegel opened his AI Realized keynote by answering his own question. A technically strong model is not a sure bet,...

Is A.I. Actually a Bubble?

 Originally published on The New Yorker, December 12, 2025. The narrative of boom and bust is familiar—but also out of step with the possibilities of a new technology. Over the past few months, I’ve introduced artificial intelligence into...

The great AI hype correction of 2025

 Originally published on MIT Technology Review, December 15, 2025. Four ways to think about this year’s reckoning Some disillusionment was inevitable. When OpenAI released a free web app called ChatGPT in late 2022, it changed the course of an entire...

Generative AI hype distracts us from AI’s more important breakthroughs

 Originally published on MIT Technology Review, December 15, 2025. It’s a seductive distraction from the advances in AI that are most likely to improve or even save your life On April 28, 2022, at a highly anticipated concert...

How To Un-Botch Predictive AI: Business Metrics

  Originally published in Forbes Predictive AI offers tremendous potential – but it has a notoriously poor track record. Outside Big Tech and a handful of other leading companies, most initiatives fail to deploy, never realizing value. Why?...