Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
The Great AI Myth: These 3 Misconceptions Fuel It
 Originally published in Forbes, July 29, 2024. The hottest thing...
How to Sell a Machine Learning Project
 Originally published in Built In, February 6, 2024. Never...
The 3 Things You Need To Know About Predictive AI
 Originally published in Forbes, June 29, 2024. Some problems are...
Alphabet Uses AI To Rush First Responders To Disasters—Takeaways For Businesses
 Originally published in Forbes, July 7, 2024. The National Guard...

Eric Siegel

How Machine Learning Can Improve the Customer Experience

 Originally published in Harvard Business Review, March 24, 2023. Machine learning is a promising technology for improving the customer experience. Why? It’s simple: because it can predict customer behaviors. Prediction as a capability is the Holy Grail for foreseeing each customer need and personalizing products and services accordingly. From the consumer’s perspective, when ML’s ethical pitfalls are

FAQ About Eric Siegel’s New Book, “The AI Playbook”

  There are plenty of questions to answer about The AI Playbook. Readers of this book come with diverse backgrounds and various preconceptions about the problem the book aims to solve: getting machine learning deployed. This FAQ...

Announcing Eric Siegel’s New Book: The AI Playbook

  Dear Reader, I’m excited to announce the forthcoming, second book by Eric Siegel, The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. I’ve appended some details below – or click here for more info...

Podcast: Four Things the Machine Learning Industry Must Learn from Self-Driving Cars

    Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Four Things the Machine Learning Industry...

Podcast: P-Hacking—How to Know Your Predictive Discovery is Conclusive

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. P-Hacking: How to Know Your Predictive Discovery...

Podcast: Real-Time Machine Learning: Why It’s Vital and How to Do It

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Real-Time Machine Learning: Why It’s Vital and...

Podcast: Five Reasons to Go to Machine Learning Week, June 19-24, 2022 in Vegas

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Podcast episode description:  In this special episode,...

Podcast: The Accuracy Fallacy and the Media’s Bogus Coverage of AI

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. The Accuracy Fallacy and the Media’s...

Podcast: Survey Results Show that Models Are Rarely Deployed – a Failure in Machine Learning Leadership

  Welcome to the very first episode of Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Models Are Rarely Deployed – an...

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of...

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