Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
BizML: Bridging the Gap Between Data Science and Business
  Eric Siegel, author of The AI Playbook, was...
The AI Hype Cycle Is Distracting Companies
 Originally published in Harvard Business Review. Machine learning has...
HR Analytics: Measuring Acquisition, Retention & Satisfaction
 Your firm is growing rapidly, and to maintain pace,...
To Avoid Wasting Money on Artificial Intelligence, Business Leaders Need More AI Acumen
 Originally published in Analytics Magazine, July 19, 2023. Business...

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 Originally published in The Byte, Nov 2, 2023. More than 50 years after their...

 Originally published in East Wind, Oct 25, 2023. I’m probably not the first person...

 Originally published in The Verge, Oct 18, 2023.   No prominent developer of AI foundation...

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      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 side and the business side. You need to bridge that gap with a common understanding of what’s predicted, […]

  • 6 days ago
    The AI Hype Cycle Is Distracting Companies

     

     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 we differentiate most of today’s practical ML projects from those research advances. This begins by correctly naming such […]

  • 1 month ago
    HR Analytics: Measuring Acquisition, Retention & Satisfaction

     

     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 as ever, and satisfaction levels are not where they should be. Many of the candidates see other opportunities […]

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     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 one client’s deployed lead-scoring model is potentially worthless for improving sales team efforts and how the difference between […]

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     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 […]

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      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 will orient you, clarifying why you should read this book and aligning your expectations. Free audiobook offer: Pre-order […]

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      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 and to preorder the book. The Executive Editor of The Machine Learning Times, Eric is my colleague – […]

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  •  In anticipation of her upcoming presentation at Deep Learning World, part of Machine Learning Week Las Vegas, June 18-22, 2023, Devanshi Vyas, Co-Founder at Censius, provided a brief video overview of her Deep Learning World presentation, Navigating Uncharted Territory:...

  •  In anticipation of his upcoming presentation at Predictive Analytics World Industry 4.0, part of Machine Learning Week Las Vegas, June 18-22, 2023, Ayush Patel, Co-Founder at Twelvefold, provided a brief video overview of his PAW Industry 4.0 presentation, The...

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