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A predictive big data analytics algorithm using a variety of demographic and clinical data...
Today’s business executives are increasingly applying pressure to their Human Resources departments to “use...
Over the last five years, electronic health records (EHRs) have been widely implemented in...
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 for Audit at U.S. Commodity Futures Trading Commission, a few questions about his work in predictive analytics. Q: […]
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 his work in predictive analytics. Q: In your work with predictive analytics, what behavior do your models predict? […]
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 a long list of brand names and companies as part of their toolkit search. Instead, it is my […]
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. For various reasons, both individuals and groups are often cautious at the expense of their long-term success. From […]
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 be ignored. Most of this unstructured data comes from log books, repair manuals, warranty records, and even product […]
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 be provided for all attendees at two Predictive Analytics World events coming to New York in October: PAW […]