Enterprise Risk Management Technology Guide 2024/25

FIS - AI and Machine Learning: Predictive Analytics, Experience and Rating Manager

Type of System

  • Analytics
  • Pricing
  • Clustering experience analysis
  • proxy models
  • process management
  • fraud detection
  • claims decisions
  • underwriting decisions
  • anomaly and outlier detection

Type of platform

  • Cloud
  • SaaS

What are the typical implementation costs?

Implementation costs vary depending on the scope of the project. The main solution is SaaS hence provides a much more streamlined implementation. Thanks to our extensive out-of -the-box functionality, which cover the latest machine learning algorithms and approaches clients can build new models very quickly.

How long does your software take to implement on site?

Again, implementation timeframes vary according to the project’s scope. But extensive out-of-the-box functionality make it easier for insurers to rapidly deploy our software and develop predictive models to meet internal risk needs.

Please name companies that use the system/solution

Globally, more than 1,000 client sites in over 80 countries use the solution. We do not disclose all of our clients but a range of case studies are available.

Do you have an open API?

Yes

Planned future enhancements:

Planned release of significant new SaaS based solution including state of the art machine learning techniques alongside metrics, interpretation, explanation, validation and visualisation.

How does your solution integrate with third-party systems or in-house systems?

Integration with third party systems or in-house systems for model deployment is enabled through Web APIs.

What is the key attribute of your product(s) that differentiates it from your competitors?

A no-code fully functioning predictive analytics tool that includes the latest machine learning models alongside metrics, interpretation, explanation, validation and visualisation running in a scalable cloud environment.

What trends are you seeing in terms of customer demand?

Demand for the use of more sophisticated higher performing models whilst maintaining interpretability and explainability.

Contacts

Neil Covington
Global Head of General Insurance Solutions, FIS
+44 (0) 7919 887848
Email: [email protected]