Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
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...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...

Leading Blogs

Survey: Machine Learning Projects Still Routinely Fail to Deploy

 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?

Free Shipping: A Perfect Example of the Value of Uplift Modeling

 Note from Executive Editor Eric Siegel: In this article, Sam Koslowsky explores a perfect illustration of the value of uplift modeling: whether to offer free shipping. Well, will that increase the chance this customer will buy? That...

Wise Practitioner – Predictive Analytics Interview Series: Markus Larsson at Palo Alto Research Center (PARC)

  (more…)

Here’s How Amazon Alexa Will Recognize When You’re Frustrated

 Originally published in OneZero, Sept 27, 2019 OneZero spoke to Rohit Prasad, chief scientist for Alexa, about the new tone-detecting feature. Amazon knows that Alexa doesn’t get everything right, so the virtual personal assistant is picking up...

Wise Practitioner – Predictive Analytics Interview Series: Bob Nisbet at University of California, Irvine

  By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare In anticipation of his upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, May 31-June 4, 2020 we asked Bob Nisbet, Instructor at University...

Wise Practitioner – Predictive Analytics Interview Series: Jaya Mathew at Microsoft

 By: Steven Ramirez, Conference Chair, Predictive Analytics World for Industry 4.0 In anticipation of her upcoming conference presentation at Predictive Analytics World for Industry 4.0 May 31-June 4, 2020, we asked Jaya Mathew, Senior Data Scientist at Microsoft, a few...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Aric LaBarr at Institute for Advanced Analytics at NC State

 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial. May 31-June 4, 2020, we asked Dr. Aric LaBarr, Associate Professor of Analytics, Institute...

Predicting how Outbreaks Change Under Different Responses – PAW Interview: Colleen M. Farrelly at Quantopo LLC

 By: Jeff Deal, Conference Chair, Predictive Analytics World for Healthcare How do outbreaks change under different responses and can this be statistically predicted? We interviewed the lead statistician working with the Malian government on the 2014 Ebola...

Wise Practitioner – Predictive Analytics Interview Series: Gil Reich at Wix

 By: Eric Siegel, Founder, Predictive Analytics World for Business In anticipation of his upcoming conference presentation at Predictive Analytics World for Business Las Vegas, May 31-June 4, 2020, we asked Gil Reich, Data Developer at Wix, a...

Wise Practitioner – Predictive Analytics Interview Series: Reeto Mookerjee at Fandango

 By: Eric Siegel, Founder, Predictive Analytics World for Business In anticipation of his upcoming conference presentation at Predictive Analytics World for Business Las Vegas, May 31-June 4, 2020, we asked Reeto Mookerjee, Vice President, Data, Analytics and...

Page 1 of 5 1 2 3 4 5