Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
A Brief History of Why Machine Learning Projects Stall
  EDITOR’S NOTE: This is the preface to The...

Original Content

Agentic AI Is The New Vaporware

  Originally published in Forbes The hype term “agentic AI” is the latest trending buzzword to repackage pie in the sky AI ambitions, but it does not allude to any particular advancement that might achieve them. It amplifies the overpromising narrative that we’re rapidly headed toward a great leap in autonomy – most extraordinarily, toward the

Predictive AI Too Hard To Use? GenAI Makes It Easy

  Originally published in Forbes So much potential. Predictive AI often delivers more value than its heavily publicized sister, generative AI. It’s the technology you turn to for improving your largest-scale operations. Its value proposition is straightforward and...

How Predictive AI Will Solve GenAI’s Deadly Reliability Problem

  Originally published in Forbes Generative AI too unreliable to launch? Predictive AI will realize genAI’s bold, often overzealous promise of autonomy – or at least a great deal of it. While the generative AI industry rides high on...

5 Ways To Hybridize Predictive AI And Generative AI

  Originally published in Forbes AI is in trouble. Both of its main two flavors, generative AI and predictive AI, face crippling limitations that compromise their ability to realize value. The solution? GenAI helps predictive AI and vice...

This Simple Arithmetic Can Optimize Your Main Business Operations

 Originally published in Forbes Deep down, we all know that we should embrace difficulties rather than dodge them. As John Adams put it, “Every problem is an opportunity in disguise.” It follows that the greatest opportunities come from the greatest...

Predictive AI Usually Fails Because It’s Not Usually Valuated

 Originally published in Forbes Why in the world would the decades-old industry of machine learning need a completely new paradigm? Imagine you’re developing a rocket. If you don’t stress test it—in its intended usage (via simulations, wind tunnels,...

Panic Over DeepSeek Exposes AI’s Weak Foundation On Hype

 Originally published in Forbes The story about DeepSeek has disrupted the prevailing AI narrative, impacted the markets and spurred a media storm: A large language model from China competes with the leading LLMs from the U.S. – and it...

AI Drives Alphabet’s Moonshot To Save The World’s Electrical Grid

 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in Phoenix,...

Why Alphabet’s Clean Energy Moonshot Depends On AI

 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer of Tapestry, the project at X (Alphabet’s innovation lab) discussed in this article, will deliver a keynote about this project at Machine Learning Week, June 2-5, 2025 in...

Predictive AI Only Works If Stakeholders Tune This Dial

 Originally published in Forbes I’ll break it to you gently: Magic crystal balls don’t exist. But there’s good news. We have the next best thing: probability. A probability isn’t a very technical thing at all. It’s a reading...

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