Originally published in BigThink, Feb 12, 2024. Excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel (February 6, 2024), published by The MIT Press. The ML (Machine Learning) industry has bitten forbidden fruit: It has chosen to promote itself as AI, an ill-defined umbrella term that includes ML within its
Originally published in Fast Company, Jan 5, 2024. Eric Siegel had already been working in the machine learning world for more than 30 years by the time the rest of the world caught up with him. Siegel’s been...
In 2023, as a visiting analytics professor at UVA Darden School of Business, I developed and “field tested” a curriculum supplement designed to augment introductory data science courses so that they cover the business-side execution...
Originally published in DATAVERSITY. This article reviews the new book, The AI Playbook, by my colleague here at The Machine Learning Times, Executive Editor Eric Siegel. Free book: Come to Machine Learning Week – June 4-7, 2024 in Phoenix, AZ – to...
This article reviews the new book, The AI Playbook, by my colleague here at The Machine Learning Times, Executive Editor Eric Siegel. Free book: Come to Machine Learning Week – June 4-7, 2024 in Phoenix, AZ – to meet author Eric...
Originally published in Harvard Data Science Review. For more about the trials and tribulations UPS overcame on its road to success, see Eric Siegel’s new book, The AI Playbook. Free book: Come to Machine Learning Week – June...
This article reviews the new book, The AI Playbook, by my colleague here at The Machine Learning Times, Executive Editor Eric Siegel. Free book: Come to Machine Learning Week – June 4-7, 2024 in Phoenix, AZ...
Eric Siegel, author of The AI Playbook, was interviewed by Pragmatic Data about a business paradigm to get machine learning deployed, bizML. Click here to listen to the podcast episode. “There’s a gap between the technical...
Originally published in Harvard Business Review. Machine learning has an “AI” problem. With new breathtaking capabilities from generative AI released every several months — and AI hype escalating at an even higher rate — it’s high time...
Originally published in Analytics Magazine, July 19, 2023. Business leaders need more machine learning acumen to properly translate business objectives into the requirements for a predictive model. Without this, pitfalls abound. In this article, we show why...
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