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An Insurance & Technology Webcast:

Fighting Insurance Fraud with Big Data


Untitled Document
Duration: 60 minutes

In today’s highly competitive marketplace, most insurance companies have already reduced their operational costs to the point where there is little more to gain in that area. But these organizations are still under pressure to cut costs. Historically, the insurance industry has simply accepted the 10 percent of incurred losses believed to be the result of fraud as a cost of doing business. Now, however, insurance fraud is on the rise. Individual fraudsters and organized rings are taking advantage of favorable regulations, overworked adjusters and investigators and a clogged court system. In addition to suffering losses due to fraudulent claims, insurance companies are diverting precious resources to identifying, investigating and prosecuting fraud.

Join this webinar to hear about next generation fraud solutions and how big data is changing the equation.

Attendees will learn how to:

  • Prevent, predict, identify, investigate, report and monitor attempts at insurance fraud
  • Equip underwriters, adjusters, investigators and managers with the information they need to make intelligent, informed decisions in real time
  • Identify patterns and trends that can pinpoint fraudsters quickly and improve fraud prevention in the future

 

 


Featured Speakers:

Rick Hoehne
Rick Hoehne,
Global Insurance Leader,
Executive Consultant,
IBM

Keith Ellis
Keith Ellis,
Global Predictive Analytics Solutions Leader, Financial Services,
IBM


 
 

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