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.
February 15, 2013
January 15, 2013
New models of proactive risk management, using big data analytics, are being increasingly adopted by major banks and financial institutions. But many financial institutions still lag.
January 8, 2013
Insurance claims fraud is estimated to account for at least 15 percent of insurance company losses, a cost that impacts the bottom line of every insurer in the industry, and ultimately, consumers as well.
December 5, 2012
Individual fraudsters and organized rings are taking advantage of favorable regulations, overworked adjusters and investigators, and a clogged court system to increase the rates of insurance fraud. Learn what insurance companies are doing to "Outsmart the Insurance Claim Fraudster" in this webcast.
November 8, 2012
Healthcare organizations are in the eye of an information overload storm. With EHR, EMR and with HIE implementation, there’s tons of data that will be available to payers, care providers and care management companies.