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...
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3 years ago
“Doing AI” Is a Mistake that Detracts from Real Problem-Solving

  A note from Executive Editor Eric Siegel: Richard Heimann’s forthcoming book, Doing AI, takes on the problems with “AI” as a brand with a style so crisp, clear, and unique, it just pops off the page. He surveys the litany of troublemakers who’ve misguided the world with AI mythology, but then greets this mishap with the ultimate business-savvy antidote: how to effectively identify and solve real-world problems. His book will repeatedly make you go “hmm!” as it overhauls your thinking about AI, machine learning, and problem-solving in general. And by the way, if you’d like to hear

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