Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Predictive AI Will Solve GenAI’s Deadly Reliability Problem
  Originally published in Forbes Generative AI too unreliable to...
5 Ways To Hybridize Predictive AI And Generative AI
  Originally published in Forbes AI is in trouble. Both...
This Simple Arithmetic Can Optimize Your Main Business Operations
 Originally published in Forbes Deep down, we all know that...
Predictive AI Usually Fails Because It’s Not Usually Valuated
 Originally published in Forbes Why in the world would the...

Industry News

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 there is no consensus on the definition of AGI. That is true, but misses the point — if

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...

AI Optimism vs. Skepticism: Bridging the Gap Between Hype and Practicality

 Originally published in GenAI: More Than You Asked For, December 15, 2024. This week, Casey Newton published an article where he challenges AI skeptics for minimizing AI. He argues that skepticism concentrates too heavily on present limitations...

How Gen AI and Analytical AI Differ — and When to Use Each

 Originally published in Harvard Business Review, December 13, 2024. Since OpenAI announced ChatGPT in November of 2022, many business executives have focused their attention on generative AI. This relatively new technology set off a frenzy around AI...

Beyond the Hype: The Enduring Value of Predictive AI in a GenAI World

 Originally published in Hackernoon, Nov 18, 2024. Generative AI has revolutionized the tech landscape since OpenAI’s ChatGPT burst onto the scene in late 2022. In response, companies, across sectors, are swiftly pivoting their strategies and redirecting significant...

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