Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...

Original Content

Podcast: Five Reasons to Go to Machine Learning Week, June 19-24, 2022 in Vegas

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Podcast episode description:  In this special episode, rather than the usual conceptual coverage of machine learning, Eric Siegel will pitch you on the machine learning

Podcast: The Accuracy Fallacy and the Media’s Bogus Coverage of AI

  Welcome to the next episode of The Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. The Accuracy Fallacy and the Media’s...

Wise Practitioner – Predictive Analytics Interview Series: David Talby, PhD of John Snow Labs

 In anticipation of his upcoming keynote presentation at Predictive Analytics World Healthcare, Las Vegas, June 19-24, 2022, we asked David Talby, PhD, Chief Technology Officer at John Snow Labs, a few questions about their deployment of predictive analytics....

An Interview with Bill Franks on Creating and Delivering an Effective Data-Driven Presentation

 With his newest book release, Winning The Room: Creating and Delivering an Effective Data-Driven Presentation, we asked Bill Franks a few questions about what led to his writing the book and what the book is about. Bill...

Wise Practitioner – Predictive Analytics Interview Series: Dohyeong Kim, PhD, at University of Texas at Dallas

 In anticipation of his upcoming presentation at Predictive Analytics World for Healthcare, Las Vegas, June 19-24, 2022, we asked Dohyeong Kim, PhD, Professor and Associate Dean of Graduation Education Public Policy at University of Texas at Dallas, a...

Podcast: Survey Results Show that Models Are Rarely Deployed – a Failure in Machine Learning Leadership

  Welcome to the very first episode of Machine Learning Times Executive Editor Eric Siegel’s podcast, The Doctor Data Show. Click here for all episodes and links to listen on your preferred platform. Models Are Rarely Deployed – an...

Wise Practitioner – Predictive Analytics Interview Series: James Duarte at IMAGILYTICS

 In anticipation of his upcoming presentation at Predictive Analytics World for Industry 4.0, Las Vegas, June 19-24, 2022, we asked James Duarte, Principle, IMAGILYTICS and Academician at IMAGILYTICS, a few questions about their deployment of predictive analytics. Catch...

AI Hype: the Good, the Bad, and the Ugly

 The Good: American economist Robert Shiller wrote of economic bubbles in his best-selling book, Irrational Exuberance. Shiller illuminates “why it is so difficult for smart money to profit by betting against bubbles.” He writes that “psychological contagion promotes a...

Models Are Rarely Deployed – an Industrywide Failure in ML Leadership (Poll Results)

  Originally published in KDnuggets. The latest KDnuggets poll reconfirms today’s dire industry buzz: Very few machine learning models actually get deployed. In this article, I’ll summarize the poll results and argue that this pervasive failure of...

Book Review: AI Can’t Come “First”

  A note from Executive Editor Eric Siegel: In this book review, Rich Heimann concludes that the concept of “AI First” only perpetuates the fallacy of AI as a single solution, not to mention continuing the hype...

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