Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
The AI Playbook: Providing Important Reminders to Data Professionals
 Originally published in DATAVERSITY. This article reviews the new...
Decode the Algorithm: Navigate the World of Machine Learning in Business with ‘The AI ​​Playbook’
  This article reviews the new book, The AI Playbook, by...
To Deploy Machine Learning, You Must Manage Operational Change—Here Is How UPS Got It Right
 Originally published in Harvard Data Science Review. For more...

artificial intelligence

The Problem with AI Hype and the True Value of ML

  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 event founder, and receive a complimentary copy. As part of their ‘B2B tech trends 2024’ series, Babel director

Vertical AI – Why a Vertical Approach is Key to Building Enduring AI Applications

 Originally published in Greylock, Dec 6, 2023.  The rise of Vertical SaaS in the past decade has demonstrated the power of industry-specific software, producing dozens of winners like Toast, Shopify, Procore, and ServiceTitan. Yet there are still...

The Real Research Behind the Wild Rumors About OpenAI’s Q* Project

 Originally published in Understanding AI, Dec 7, 2023.  On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman, The Information reported that OpenAI had made a technical breakthrough that would allow it to “develop...

BizML: Bridging the Gap Between Data Science and Business

  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...

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...

The Beatles Just Released Their Final Song That Resurrects John Lennon’s Voice with AI

 Originally published in The Byte, Nov 2, 2023. More than 50 years after their breakup, The Beatles have released their final song — and used AI to bring John Lennon’s voice back to life. In an announcement published...

Peak Data

 Originally published in East Wind, Oct 25, 2023. I’m probably not the first person to write about the insane leverage that LLMs confer to engineers, but Stack Overflow’s 28% layoff really got me thinking about the future of human-generated data,...

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...

The World’s Biggest AI Models Aren’t Very Transparent, Stanford Study Says

 Originally published in The Verge, Oct 18, 2023.   No prominent developer of AI foundation models — a list including companies like OpenAI and Meta — is releasing sufficient information about their potential impact on society, determines a new...

Commercializing AI in Healthcare: The Enterprise Buyer Perspective

 Originally published in a16z.com, Oct 12, 2023. What do enterprise buyers in healthcare care about most when evaluating AI products? To answer that question, we interviewed leaders from many of the largest healthcare providers and insurers across...

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