By: Eric Siegel, Founder, Predictive Analytics World
Originally published in Scientific American and Salon
In this article, I provide evidence that Hillary for America is employing uplift modeling for per-voter persuasion—which Trump’s campaign may not be taking advantage of—and I pose questions about the 2016 presidential race to a leading practitioner whose hands-on efforts won Obama votes in 2012: Daniel Porter, former director of statistical modeling of Obama
In anticipation of his upcoming conference co-presentation, Words that Matter: Application of Text Analytics at the U.S. Commodity Futures Trading Commission, at Predictive Analytics World for Government, October 17-20, 2016, we asked Miguel Castillo, Assistant Inspector General...
In anticipation of his upcoming keynote co-presentation, Picking the Right Modeling Technique for the Problem, at Predictive Analytics World London, October 12-13, 2016, we asked Michael Berry, Analytics Director at TripAdvisor Hotel Solutions, a few questions about...
By: Richard Boire, Senior Vice President, Environics Analytics
Continuing on our discussion from last month on toolkits for practitioners, you will note that I purposely do not make reference to specific brand names and companies. By googling data science software, the user can easily obtain...
By: Ryan McGibony, Data Scientist, Elder Research
Research shows that people tend to be overly risk averse when weighing the potential success or failure of a decision. This tendency is compounded when we consider the vast number of decisions being made across an organization....
By: Bala Deshpande, Founding Partner, SimaFore & Chair, PAW – Manufacturing
Predictive analytics is increasingly becoming the object of value within many so-called traditional industries like manufacturing. While historically data generated by and in manufacturing is mostly structured, today unstructured data is also becoming a source that cannot...
By: Eric Siegel, Founder, Predictive Analytics World
Here are six key definitions—and The Five Effects of Prediction—from my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated, 2016). Note: A complementary copy of this book will...
In anticipation of his upcoming keynote co-presentation at Predictive Analytics World for Healthcare New York, October 23-27, 2016, we asked Ken Yale, JD, DDS, Vice President of Clinical Solutions at ActiveHealth Management, a few questions about incorporating predictive...
In anticipation of his upcoming conference presentation, Importance of Model Risk Management in Financial Institutions at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Hevel Jean-Baptiste, Global Senior Program Manager, Model Risk...
In anticipation of his upcoming conference presentation, Risk Management Algorithms – Paving the Way to Value Creation at Predictive Analytics World Financial in New York City, October 23-27, 2016, we asked Frank Fiorille, Sr. Director of Risk...
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