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

Wise Practitioner – Predictive Analytics Interview Series: Jennifer Lewis Priestley at Kennesaw State University

 By: Eric Siegel, Program Chair, Predictive Analytics World for Business In anticipation of her upcoming keynote address at Predictive Analytics World for Business Las Vegas, June 16-20, 2019, we asked Jennifer Lewis Priestley, Professor of Applied Statistics and Data Science at Kennesaw State University, a few questions about incorporating predictive analytics into business. Catch a glimpse

Wise Practitioner – Predictive Analytics Interview Series: Keith Higdon at ESIS

 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial Las Vegas, June 16-20, 2019, we asked Keith Higdon, President at ESIS, a few questions...

Wise Practitioner – Predictive Analytics Interview Series: Dr. Gary Anderberg at Gallagher Bassett

 By: Eric Siegel, Program Co-Chair, Predictive Analytics World for Financial In anticipation of his upcoming conference presentation at Predictive Analytics World for Financial Las Vegas, June 16-20, 2019, we asked Dr. Gary Anderberg, SVP of Claim Analytics Product...

It’s Not the Tool – It’s All in the Data

   By: Sam Koslowsky, Senior Analytic Consultant, Harte Hanks After more than thirty years in the targeted modeling field, I still hear the same question I heard when I was first beginning. “Which tool produces the best...

The Loss of Inference

    For more from this writer, Stephen Chen, see his session, “The Perils of Prediction” at PAW Business, June 19, 2019, in Las Vegas, part of Mega-PAW. The burgeoning field of Data Science / Machine Learning...

Dr. Data Video: The Persuasion Paradox – How Computers Optimize their Influence on You

 How do computers optimize mass persuasion – for marketing, presidential campaigns, and even healthcare? And why is there actually no data that directly records influence, considering it’s so important? In this season finale episode, Eric Siegel introduces...

Dr. Data Video: Five Ways Your Safety Depends on Machine Learning

 In this episode of The Dr. Data Show, Eric Siegel tells you about five ways your safety depends on machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents,...

Five Reasons to Go to Mega-PAW, the Premier Machine Learning Conference

   This article is archival, regarding 2019 – instead, click here for the updated 2020 article: Five Reasons to Go to Machine Learning Week 2020 When deciding on a machine learning conference, why go to Mega-PAW Vegas...

Predictive Analytics: A Review Essay

 Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die. Revised and Updated. Eric Siegel. (Wiley: Hoboken NJ. 2013, 2016) In 2013, as the worst effects of the crash had begun to reverberate out...

A Brief History of Predictive Analytics World

  2019 marked the 10-year anniversary of the Predictive Analytics World conference series. During this decade-long run leading the commercial deployment of machine learning, PAW delivered value to over 14,000 attendees across more than 60 industry-leading events that have included over 1,200 sessions,...

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