Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Our Last Hope Before The AI Bubble Detonates: Taming LLMs
  Originally published in Forbes To know that we’re in...
The Agentic AI Hype Cycle Is Out Of Control — Yet Widely Normalized
  Originally published in Forbes I recently wrote about how...
Predictive AI Must Be Valuated – But Rarely Is. Here’s How To Do It
  Originally published in Forbes To be a business is...
Agentic AI Is The New Vaporware
  Originally published in Forbes The hype term “agentic AI”...

Industry News

Most Researchers Do Not Believe AGI Is Imminent. Why Do Policymakers Act Otherwise?

 Originally published on Tech Policy Press, March 19, 2025. AI research—these days primarily driven by corporate interests—often embraces strange priorities. Amidst multiple crises in public health, climate, and democracy, we could do better than synthetic image and text generation products and personalized chatbots as the defining technologies of our era. But the companies hyping these products

Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027

 Originally published on Gartner, June 25, 2025. Analysts to Explore Agentic AI Trends During Gartner IT Symposium/Xpo, September 8-10 on the Gold Coast Over 40% of agentic AI projects will be canceled by the end of 2027, due...

Karen Hao on how the AI boom became a new imperial frontier

 Originally published on Reuters.com, July 3, 2025. The ‘Empire of AI’ author joins our new weekly Q&A series with cultural tastemakers to explore the intersection of their craft and the news. When journalist Karen Hao first profiled OpenAI...

AGI is not a milestone

 Originally published on AI SNAKE OIL, May 1, 2025. With the release of OpenAI’s latest model o3, there is renewed debate about whether Artificial General Intelligence has already been achieved. The standard skeptic’s response to this is that...

Companies Are Struggling to Drive a Return on AI. It Doesn’t Have to Be That Way.

 Originally published on The Wall Street Journal, April 26, 2025. Successful AI adoption begins with a targeted approach, and proceeds with careful orchestration and scaling across the organization AI adoption among companies is stunningly high, but most of...

Predictive AI + GenAI: The WFM Game-Changer Hidden in Plain Sight

 Originally published on LinkedIn, April 1, 2025. In my previous newsletters, we’ve explored how contact centers thrive when viewed as interconnected ecosystems—from WFM maturity models that reveal organizational health to risk-rated capacity plans that build resilience. We’ve examined...

When to Use GenAI Versus Predictive AI

 Originally published on MIT Sloan, March 24, 2025. Generative AI doesn’t suit every problem. Use these guidelines to decide between predictive AI — machine learning and deep learning tools — and generative AI. THE ANALYTICS LANDSCAPE has evolved...

XGBoost is All You Need, Part 3 – Gradient Boosted Trees

 Originally published on XGBlog, January 30, 2025. This is the third part in the series of blog posts about XGBoost, based on my 2024 GTC presentation you can find Part 1 here, and Part 2 here. Today we...

Five Trends in AI and Data Science for 2025

 This is an overview of an article published by MIT Sloan Management Review. From agentic AI to unstructured data, these 2025 AI trends deserve close attention from leaders. Artificial intelligence and data science remained front-page news in...

AI data readiness: C-suite fantasy, big IT problem

 Originally published on CIO, December 12, 2024. Business leaders believe their data is primed for AI, but IT practitioners spend hours every day beating data into shape, only to miss out on automation opportunities. Business leaders may be...

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