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.
February 20, 2013
Interest is growing among insurers for big data solutions that can help them identify, monitor and manage fraud in their underwriting and claims. Advanced fraud detection and management solutions are helping P&C and life insurers reduce losses by improving the precision and timeliness of fraud detection.