July 15, 2014
“You can’t just look at one data source,” says Vince Walden, partner at Ernst & Young, and this week’s Big Data & Analytics hero. With so much data available to us today to get a clear picture businesses must be able to look “at the data in all different angles—upside down and sideways—to get to where we think the issues are in a case.”
March 25, 2014
A standing room only crowd of invited guests converged at the New York Palace hotel on Thursday to listen to experts from government, insurance, healthcare and banking talk about one thing: countering fraud.
March 20, 2014
Criminal activity is rampant, and the brash sophistication of recent attacks—as well as the magnitude of damage— is making fraud a top priority. Consumers are concerned about their privacy and security., government agencies are working out how to address the volume of improper payments and claims and businesses are wrestling with financial losses as well as lasting brand damag
March 12, 2014
The Retail Equation leverages big data and analytics to transform the way retailers predict and prevent return fraud leveraging the PureData System for Analytics.
March 6, 2014
Just like the great train robberies of the wild west, criminals today go where the money is: online fraud. Unfortunately, fraud has become an ever more lucrative, and increasingly difficult to track, criminal enterprise. The same technologies, from cloud to mobile to big data and analytics, that have transformed our professional and personal lives can also act as a digital smokescreen for would be criminals. Join the upcoming #BigDataMgmt Twitter chat with IBM's Bob Griffin and IDC's Mike Versace this Wednesday, March 12 at 12 noon EST & 5 p.m. GMT.
February 3, 2014
Using a powerful big data platform from IBM, Vanderbilt University School of Medicine clinicians cut research timelines from nearly a year to only a few weeks to help accelerate the pace of discovery and, ultimately, improve patient health.
July 11, 2013
Co-authored by Kim Minor, Worldwide Industry Marketing Manager for Insurance at IBM.
June 11, 2013
Big data means different things for different industries. The definition also differs within an organization, across departments and management layers within IT and business. Within IBM, big data spans four dimensions: volume, velocity, variety and veracity.
May 22, 2013
One of the key best practices for successful implementation of a big data analytics solution is to validate the business use case for big data. It will help organization with two important aspects for success: 1. Keeping the scope limited