Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
How To Overcome The Confidence-Killer That Destroys Most Predictive AI Projects
  Originally published in Forbes When Henry Castellanos first presented...
You Must Address These 4 Concerns To Deploy Predictive AI
 Originally published in Forbes Most predictive AI projects fail to launch into production. The...
Hybrid AI: Industry Event Signals Emerging Hot Trend
 Originally published in Forbes After decades chairing and keynoting myriad...

Left-hand

Hybrid AI and semiconductor approaches for power quality improvement

 Originally published on scientific reports, July 15, 2025. Abstract This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. The research addresses key power quality challenges – including voltage sags, swells, harmonics, and transient disturbances – through a data-driven framework

The Role of AI in Predicting Customer Churn Beyond Traditional Metrics

 Originally published on Customer Think, June 25, 2025. Customer churn is a silent assassin of businesses. Losing customers means losing revenue, momentum, and sometimes your competitive edge. Traditional metrics—like purchase history, support tickets, and usage patterns—only tell part...

Research: The Hidden Penalty of Using AI at Work

 Originally published on Harvard Business Review, August 1, 2025. The VP of engineering at a leading technology company stared at the quarterly adoption metrics with growing frustration. Twelve months after rolling out a state-of-the-art AI coding assistant—a tool...

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...

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...

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