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...

Machine Learning Times

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 Industrywide Failure in Machine Learning Leadership.  Podcast episode description:  Our latest industry poll reconfirms today’s dire industry buzz:

The ML Times Is Growing – A Letter from the New Editor in Chief

  Dear Reader, As of the beginning of January 2020, it’s my great pleasure to join The Machine Learning Times as editor in chief! I’ve taken over the main editorial duties from Eric Siegel, who founded the...

Dr. Eric Siegel, Executive Editor, Machine Learning Times

Eric Siegel, Ph.D., is a leading consultant and former Columbia University professor who helps companies deploy machine learning. He is the founder of the long-running Machine Learning Week conference series and its new sister, Generative AI World, the instructor of...