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.
- All the hype around artificial intelligence misunderstands what intelligence really is.
- And A.I. is definitely, definitely not going to kill you, ever.
- Machine learning as a process and a concept, however, holds more promise.
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.
As predictive analytics advances decision making across the public and private sectors, nowhere could this prove more important – nor more risky – than in law enforcement. If the rule of law is the cornerstone of society, getting it right is literally foundational. But the art of policing by data, without perpetuating or even magnifying the human biases captured within the data, turns out to be a very tricky art indeed.
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.
The future is the ultimate unknown. It's everything that hasn't happened yet.
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.
Prediction is in the cards. Here are four major developments you will experience in 2016 courtesy of predictive analytics:
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.
