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 meet author Eric Siegel, the event founder, and receive a complimentary copy. –Luba Gloukhova, Editor-in-Chief Eric Siegel’s “The
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...
Winning with Data Science is a compelling and comprehensive guide for customers of data science. It teaches readers how to work with data scientists by emphasizing real-world business applications and focusing on how to collaborate productively with...
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, was interviewed on the Digital Communicators podcast about his new book, The AI Playbook. Free book: Come to Machine Learning Week – June 4-7, 2024, in Phoenix, AZ – to meet author Eric Siegel, the...
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...
Your firm is growing rapidly, and to maintain pace, talent acquisition managers are searching for innovative approaches to attract, keep and satisfy qualified candidates. You see, less qualified applicants are creeping in, employee turnover is as high...
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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