Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
AI Success Depends On How You Choose This One Number
 Originally published in Forbes, March 25, 2024. To do...
Elon Musk Predicts Artificial General Intelligence In 2 Years. Here’s Why That’s Hype
 Originally published in Forbes, April 10, 2024 When OpenAI’s...
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...

Welcome to The Machine Learning Times (previously Predictive Analytics Times)

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 The Verge, May 24, 2024. The company confirmed it is ‘taking...

 Originally published in Delphina, May 29, 2024. When I (Duncan) was on Uber’s Marketplace...

 Originally published in O’Reilly, October 24, 2023. Ever since the current craze for AI-generated...

  •  

     Originally published in Forbes, March 25, 2024. To do its job, AI needs your help. It has the potential to drive millions of operational decisions—such as whom to contact, approve, investigate, incarcerate, set up on a date or medicate. But there’s a critical project step that’s often overlooked: Choosing the decision threshold, a single number […]

  •  

     Originally published in Forbes, April 10, 2024 When OpenAI’s board momentarily ousted Sam Altman from his post as CEO last November, the media obsession was… intense. Why so much fuss about a corporate drama? The public mania—and perhaps the ousting itself—came in no small part from a widespread belief that the company is well on […]

  •  

     Originally published in KDnuggets. Eric Siegel highlights the chronic under-deployment of ML projects, with only 22% of data scientists saying their revolutionary initiatives usually deploy, and a lack of stakeholder visibility and detailed planning as key issues, in his industry survey and book “The AI Playbook.” How often do machine learning projects reach successful deployment? […]

  • 3 months ago
    Three Best Practices for Unilever’s Global Analytics Initiatives

     

        This article from Morgan Vawter, Global Vice President of Data & Analytics at Unilever, serves as the foreword to The AI Playbook: Mastering the Rare Art of Machine Learning Deployment, by Eric Siegel. Morgan will present a keynote at Machine Learning Week, June 4-7, 2024 in Phoenix, AZ – where registrants will receive […]

  •  

     Originally published in Harvard Business Review Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. This article […]

  • 3 months ago
    Eric Siegel on Bloomberg Businessweek

     

      Listen to Eric Siegel, former Columbia University Professor, discuss his book The AI Playbook: Mastering the Rare Art of Machine Learning Deployment. Radio show: Bloomberg Businessweek Hosts: Carol Massar and Tim Stenovec. Producer: Paul Brennan. Click here to listen to the full 10-minute segment Transcript: 00:00 Speaker 1 This is Bloomberg Business Week with […]

  •  

     Originally published in BigThink, Feb 12, 2024.  Excerpted from The AI Playbook: Mastering the Rare Art of Machine Learning Deployment by Eric Siegel (February 6, 2024), published by The MIT Press. The ML (Machine Learning) industry has bitten forbidden fruit: It has chosen to promote itself as AI, an ill-defined umbrella term that includes ML within its […]

Contributors ››

More Industry News ››

Wise Practitioner – Interview Series ››

  •  In anticipation of his upcoming keynote presentation at Predictive Analytics World Finance, part of Machine Learning Week Las Vegas, June 18-22, 2023, Gulrez Khan, Data Science Lead at PayPal, provided a brief video overview of his PAW Finance keynote...

  •  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...

Full PAW Conference Videos ››