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
May 21, 2013
Solutions for analyzing big data can play a critical role in addressing the increasing prevalence of claims fraud.
May 8, 2013
In my previous two blogs [here and here], I’ve talked about how cognitive computing and big data present the insurance industry with great opportunities and some challenges.
May 2, 2013
“Organizations around the world lose an estimated five percent of their annual revenues to fraud, according to a survey of Certified Fraud Examiners (CFEs) who investigated cases between January 2010 and December 2011.
April 10, 2013
In last month’s post, I talked about how cognitive computers, like IBM Watson, have the ability to do what the earliest underwriters did: approach each risk individually and, based on histori
March 5, 2013
Historically, the insurance industry has simply accepted the staggering cost of fraud as a cost of doing business. Now, however, insurance fraud is on the rise. But help is at hand. Next-generation fraud solutions and big data are changing the equation in favor of insurance companies and their customers.