Eric Siegel, Ph.D. is the founder of the Predictive Analytics World conference series—which includes events for business, government, healthcare, workforce, manufacturing, and financial services—the author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die—Revised and Updated Edition (Wiley, January 2016), executive editor of The Predictive Analytics Times, and a former computer science professor at Columbia University. For more information about predictive analytics, see the Predictive Analytics Guide.
Machine learning is a powerful and imperfect tool that should not go unmonitored.
Everyone wants to predict who will win the 2020 presidential election. Here are 2 misconceptions to bust so people don't proclaim the death of data like they did in 2016.
Prediction is reinventing industries and running the world. More and more, predictive analytics drives commerce, manufacturing, healthcare, government, and law enforcement.
Eric Siegel on IBM's Watson: This is the first time I’ve ever had the feeling and the impulse to say, “You know what? That’s intelligent.”
As with the anecdotally rich discoveries in Freakonomics, practitioners of predictive analytics constantly stumble upon insightful gems such as,vegetarians miss fewer flights.
Siri’s underlying technology is designed "to solve a different, simpler variant of the human language problem" than Watson.
One of the things that’s happening now is your Smartphone is being more integrated with your car.
My opinion is that IBM’s Watson computer is able to answer questions, and so, in my subjective view, that qualifies as intelligence.
Today, predictive analytics' all-encompassing scope already reaches the very heart of a functioning society. Several mounting ingredients promise to spread prediction even more pervasively: bigger data, better computers, wider familiarity, and advancing science.
The president won reelection with the help of the science of mass persuasion, a very particular, advanced use of predictive analytics.