By: Eric Siegel, Program Chair, Predictive Analytics World for Business In anticipation of his upcoming conference presentation at Predictive Analytics World for Business Las Vegas, June 16-20, 2019, we asked Allan Sammy, Director, Data Science and Audit Analytics at Canada Post, a few questions about incorporating predictive analytics into business. Catch a glimpse of his presentation, Auditing
By: Stephen Chen 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. In an earlier article (“The Loss of Inference“)...
By: Eric Siegel, Program Chair, Predictive Analytics World for Business In anticipation of his upcoming conference presentation at Predictive Analytics World for Business Las Vegas, June 16-20, 2019, we asked Tom Warden, SVP, Chief Data and Analytics Officer...
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...
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...
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...
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...
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...
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...
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