Welcome to the machine learning professionals’ premier resource, delivering timely, relevant industry-leading content: articles, videos, events, white papers, and community. The only full-scale content portal devoted exclusively to machine learning and its commercial deployment, The Machine Learning Times has become a standard must-read.
Subscribe today for free to access our original content and so much more.
Originally published in Greylock, Dec 6, 2023. The rise of Vertical SaaS in the...
Originally published in Understanding AI, Dec 7, 2023. On November 22, a few days...
Originally published in The Byte, Nov 2, 2023. More than 50 years after their...
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, […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 – […]