with a better browsing experience; allow us to assess, monitor, and improve the website’s
performance; and enable our partners to advertise to you. You may disable the cookies by changing
the settings in your browser, and you may tell us not to share your cookie data with third parties.
The insurance industry has long been a leader in the use of analytic models for pricing. Now, with new and more complex data available there are an increasing number of scenarios where analytics are making a big impact. FICO provides a platform for Insurance that uses advanced analytics to manage risk, prevent fraud, improve debt collections and increase your profitability while delivering a great customer experience. This includes areas such as:
For insurance companies who deal with cyber-insurance, FICO delivers a research-proven approach to independently score 3rd party organizations based on their risk of data breach – this involves scanning the entire internet on a weekly basis and process an enormous data set using machine learning to create advanced predictive models. This same enterprise security score can be used to ensure you have accurate insight into your own company’s ability to keep sensitive data secure.
This two-part course provides a foundation for developing a Blaze Advisor system-enabled application. Part 1 is for both Business Analysts and Developers who maintain rules in the RMA. Part 2 is for Developers who need to understand the SRL generated by the RMA. Students are introduced to rule authoring, Structured Rule Language (SRL), testing, RMA generation, lifecycle management in the RMA, and rule project deployment.
This course is aimed at developers and rule writers. The course covers rule authoring using both interactive builder and advanced builder where participants will learn how to write using Structured Rule Language (SRL); project testing and deployment.
This course familiarizes attendees with optimization models and techniques, and the terminology used to describe them. Participants gain an understanding of the Xpress suite, the Mosel modeling and programming language, and Xpress Workbench. Through a series of projects illustrating applications of the LP and MIP methods, students learn to implement optimization models using Xpress Optimization Suite.
GEHA catches fraud before payout while improving case targeting twelve-fold.
It’s a fact: Accounts receivables and bad debt are soaring among hospitals and health systems, and it’s not just because of uninsured patients. Unpaid medical bills are also surging at an alarming rate for many middle-class citizens, due t...
The FICO® Cyber Risk Score provides an empirical, long-term indicator of network security risk based on network assets and proprietary analytical methods helping understand your security posture and assess the risk of third-party organizat...
Insurance fraud losses are rising in the US, the UK and many other markets across the globe. Insurers are experiencing higher incidences of opportunistic fraud (exaggeration of legitimate claims), as well as premium leakage due to misrepre...
In the fight against claims fraud, criminal rings constitute an elusive and costly portion of an estimated $80 billion lost to fraud annually. FICO® Identity Resolution Engine, an integral component of the FICO® Claims Fraud Solution, prov...