Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Jev AI Will Make You Money – But Exactly How Much?
  Originally published in Forbes As I covered recently, Jev...
Jev Fever: Predictive AI Is Superhot Again
  Originally published in Forbes The more AI changes, the...
GenAI Owns the Hype, but Predictive AI Is Thriving
  EDITOR’S NOTE: This article is adapted from the...
The Data Disconnect: A Key Challenge for Machine Learning Deployment
  EDITOR’S NOTE: This article is excerpted from The...

Original Content

Jev AI Will Make You Money – But Exactly How Much?

  Originally published in Forbes As I covered recently, Jev and its competitors – a new breed of “judgement models” – have recently taken the AI world by storm. They provide the power to leverage modern foundation models for predictive AI projects. This includes the capability to perform zero-shot outcome prediction, eliminating a major barrier to

Jev Fever: Predictive AI Is Superhot Again

  Originally published in Forbes The more AI changes, the more it stays the same. For decades, we data scientists and machine learning professionals were in a long-term, exclusive relationship with predictive AI (aka predictive analytics or enterprise...

GenAI Owns the Hype, but Predictive AI Is Thriving

  EDITOR’S NOTE: This article is adapted from the new preface to the paperback edition of The AI Playbook: Mastering the Rare Art of Machine Learning Deployment., coming October 27, 2026. Special offer: Pre-order the paperback now...

The Data Disconnect: A Key Challenge for Machine Learning Deployment

  EDITOR’S NOTE: This article is excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. The paperback edition of this book will drop on October 27, 2026, along with a new preface. Special...

A Brief History of Why Machine Learning Projects Stall

  EDITOR’S NOTE: This is the preface to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. The paperback edition of this book will drop on October 27, 2026, along with a new, second preface,...

Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon

 Originally published in Forbes The great potential of LLMs is significantly compromised by their Achilles heel: a deadly reliability problem. Predictive AI can address this problem – and that represents the next killer app for predictive AI. Enterprises...

AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence

  Originally published in Forbes On a recent episode of the Dr. Data Show, my co-host Luba Glouhova and I tackled a new paper authored by AI luminary Yann LeCun alongside other researchers. We had been tipped off by another...

Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects

 A practical introduction to making complex project structure explicit for humans and AI, with examples from predictive analytics and enterprise ML. Large analytics and AI projects contain more than source code. Predictive analytics and enterprise ML projects...

Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI

  Originally published in Forbes Recently on The Dr. Data Show, my co-host Luba Gluhova and I dug into the evolving discourse surrounding artificial general intelligence – and its stubborn incoherence. A recent publication by the venture capital firm Sequoia...

The AI Paradox: More Humanlike Means Less Autonomous

  Originally published in Forbes The AI executives are at it again, promising human-level machines in the near future. In Davos, the CEOs of Google DeepMind and Anthropic each doubled down on the near-term arrival of artificial general...

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