CIOs must encourage data scientists to solve real business problems, not just play with data. As more organizations hire data scientists–especially for predictive analytics projects–IT leaders are discovering that managing people who can turn data into ideas for business actions takes a deft touch. The sharp analytical skills key to the role can sometimes get
How can the actions and reactions of proteins so small or stars so distant they are invisible to the human eye be accurately predicted? How can blurry images be brought into focus and reconstructed? A new study...
Privacy by Design, an outlook toward software development developed in the 1990s, urges companies to bake privacy protection features into its analytic systems and processes from their conception. While many executives have supported the notion of anonymizing...
Pasha Roberts will present at PAW San Francisco on this case study. A call center for a global financial firm had a problem – attrition. In order for a new employee to even be permitted to speak...
Prediction need no longer be viewed as a dark art, as the ability to more accurately predict price activity becomes a reality. Aside from predictive text, which can be both a blessing and a curse, and the...
See also the very-similarly entitled prior article the Predictive Analytics Times executive editor Eric Siegel, “The Greatest Power of Big Data: Predictive Analytics.“ There’s hardly an article, news story, webinar, or whitepaper these days that talks about...
When you turn on the lights, turn up the air conditioning or plug in an electric vehicle, it generates data. As the push for smarter infrastructure puts pressure on energy professionals to innovate their business models, they...
A deep understanding of customer behavior and what makes them “tick” is key to good marketing. Understanding purchasing behavior allows retailers to optimize their marketing campaigns, improve customer experiences, and enhance retention and loyalty. Recent studies have...
A survey of North American insurance professionals reveals widespread use of predictive analytics in the property/casualty insurance industry, with as many as 82 percent responding that they use predictive modeling in one or more lines. Earnix, a...
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