Author posts
Six ways machine learning threatens social justice
Machine learning is a powerful and imperfect tool that should not go unmonitored.
October 15, 2020
Predicting the president: Two ways election forecasts are misunderstood
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.
March 10, 2020
Five ways your safety depends on machine learning
Machine learning, which actively protects you from all sorts of dangers, including fires, explosions, collapses, crashes, workplace accidents, restaurant E. coli, and crime.
August 12, 2019
Why eating ice cream is linked to shark attacks
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."
February 21, 2019
Why A.I. is a big fat lie
The Dr. Data Show is a new web series that breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics.
January 23, 2019
Predictive policing: Data can be used to prevent crime, but is that data racially tinged?
Predictive policing introduces a scientific element to law enforcement decisions, such as whether to investigate or detain, how long to sentence, and whether to parole.
May 02, 2018
22 Ways Algorithms Know How You'll Behave Before You Do
Prediction is reinventing industries and running the world. More and more, predictive analytics drives commerce, manufacturing, healthcare, government, and law enforcement.
September 28, 2016
4 Things Digital Data Collection Predicts for 2016
Prediction is in the cards. Here are four major developments you will experience in 2016 courtesy of predictive analytics.
January 27, 2016
Understand and Apply Predictive Analytics, with Eric Siegel
You have been predicted — by companies, governments, law enforcement, hospitals, and universities. In this lesson excerpt from Big Think Edge, Eric Siegel, author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, explains why these entities not only have the power to predict the future "but also to influence the future." \r\n
March 11, 2015
I’m Anthropomorphizing this Machine
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.”
October 01, 2013
Predictive Analytics: "Freakonomics" Meets Big Data
As with the anecdotally rich discoveries in Freakonomics, practitioners of predictive analytics constantly stumble upon insightful gems such as,vegetarians miss fewer flights.
August 09, 2013
Chatting with your Computer: How the iPhone's Siri Compares with IBM'S Watson
Siri’s underlying technology is designed "to solve a different, simpler variant of the human language problem" than Watson.
July 01, 2013
Siri, You Can Drive My Car
One of the things that’s happening now is your Smartphone is being more integrated with your car.
May 17, 2013
Why I Became a Believer in Artificial Intelligence
My opinion is that IBM’s Watson computer is able to answer questions, and so, in my subjective view, that qualifies as intelligence.
May 12, 2013
The Future of Prediction: Predictive Analytics in 2020
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.
February 19, 2013
Team Obama Mastered the Science of Mass Persuasion -- And Won
The president won reelection with the help of the science of mass persuasion, a very particular, advanced use of predictive analytics.
January 18, 2013
Eric Siegel
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.
