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In 15 years of experience, I have seen countless predictive models—but very few useful ones. Most take too long to build, and then sit unused on the shelf. The model becomes a memory, and a bad one...
Speaking Opportunity: Predictive Analytics World – for Workforce I am honored to again be the Program Chair for Predictive Analytics World / for Workforce. I am designing the Agenda and an impressive lineup of Speakers for the April 2016...
Imagine knowing years in advance whether or not you’ll get cancer and treating it now instead of when the disease appears. What if a doctor could call you hours before suffering a heart attack to tell you...
Building predictive models has come to seem like one of the more glamorous jobs in business intelligence and analytics. Successful, high-profile predictive modelers like Nate Silver, founder of the ESPN blog FiveThirtyEight, and Rayid Ghani, chief data...
Imagine that you step into a room of data scientists; the dress code is casual and the scent of strong coffee is hanging in the air. You ask the data scientists if they regularly use generalized additive...
It used to be that nobody on the internet knew that I was a dog … New KDnuggets cartoon examines the dog question in the era of Big Data. It used to be that on the Internet,...
Retention has always played second fiddle to acquisition within marketing – despite the fact that acquiring new customers is far more expensive than retaining existing ones and that the top tranche of customers contributes the vast majority...
“We’re watching you.” This was the warning that the Chicago Police Department gave to more than 400 people on its “Heat List.” The list, an attempt to identify the people most likely to commit violent crime in...
Too many big data initiatives fail because companies, top to bottom, aren’t committed to the truth in analytics. Let me explain. In January 2015, the Economist Intelligence Unit (EIU) and Teradata (full disclosure: also my employer) released...
