Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Panic Over DeepSeek Exposes AI’s Weak Foundation On Hype
 Originally published in Forbes The story about DeepSeek has disrupted...
AI Drives Alphabet’s Moonshot To Save The World’s Electrical Grid
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Why Alphabet’s Clean Energy Moonshot Depends On AI
 Originally published in Forbes Note: Ravi Jain, Chief Technology Officer...
Predictive AI Only Works If Stakeholders Tune This Dial
 Originally published in Forbes I’ll break it to you gently:...

Left-hand

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 the hidden goldmines in your IVR and the power of systems thinking to break down operational silos. Today,

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...

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...

Chemistry Nobel goes to developers of AlphaFold AI that predicts protein structures

 Originally published in Nature, Oct 9, 2024. This year’s prize celebrates computational tools that have transformed biology and have the potential to revolutionize drug discovery. For the first time — and probably not the last — a...

Generative AI’s Act o1

 Originally published in sequoia, Oct 9, 2024. The Agentic Reasoning Era Begins Two years into the Generative AI revolution, research is progressing the field from “thinking fast”—rapid-fire pre-trained responses—to “thinking slow”— reasoning at inference time. This evolution...

Nvidia improves Meta’s Llama model with new training approach

  Originally published in the-decoder.com, Oct 18, 2024. Nvidia has introduced a new large language model that outperforms others in alignment benchmarks. The company achieved this through a special training procedure combining evaluation and preference models. The...

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