This article will make you feel better. And you do need to feel better, if you are one of the many of us who practice analytics—or who must consume and rely on analytics—and find ourselves carrying tension...
Eric Siegel, PhD, founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times.com, makes the how and why of predictive analytics understandable and captivating. In addition to being the author...
In the never-ending quest for pre-qualified leads, increasing numbers of insurance companies are turning to predictive analytics to net potential customers from that great sea of people known as the general population. Popularized in the 2011 movie,...
Version 4.2 of the Predictive Model Markup Language (PMML), which aims to make it easier to develop predictive analytics apps, is now available. The Data Mining Group, a vendor-led consortium of companies and organizations developing standards for...
Before companies can profit from big data, they often must deal with bad data. There may indeed be gold in the mountains of information that firms collect today, but there also are stores of contaminated or “noisy”...
Machine learning technology, which is defined in this ProgrammableWeb article, is starting to become a common component in many types of technology platforms. Machine learning has led to the advent of predictive analytics, which has been rapidly...
It’s not every day that Brady gets sent packing, Manning sends potential travelers scrambling to the midwest and a Stanford grad makes news for freaking out on reporter Erin Andrews but that’s exactly what happened on Sunday....
The majority of consumer packaged goods (CPG) companies are failing to place analytics at the heart of their decision-making process, limiting their ability to improve the customer experience and gain business advantage, a study by Accenture has...
