Therefore, we provided a taxonomy of fraud scenarios and implemented their detection using a blockchain platform that was suitable for health care insurance fraud detection. To automatically and efficiently select the best platform, we proposed and implemented a decision map鈥揵ased recommender system....
CLARA is broadening its network analysis to incorporate insights from medical and legal data, aiming to reveal hidden connections. Leveraging AI-driven insights augmented by agentic reasoning, CLARA’s solution interprets complex claim scenarios and generates actionable intelligenc...
has entered into a long-term agreement withShift Technology, a Paris-based provider of AI-native solutions for insurers, to adopt the vendor’sFORCEsolution to automate and improve the accuracy of the carrier’s fraud detection capabilities. ...
which captures their biometric data like pulse and heart rate as they capture images on a screen while holding a light bowling-size ball. Insurers could also use VR to create virtual scenarios that help commercial clients identify potential hazards before they...
Report and analytics testing test cases involve users who can generate correct and relevant reports, and the website can analyze data accurately and securely; it makes testing reports and analytics important in insurance domain testing. Some of the test scenarios that can be run as part of Report...
The following scenarios in which your system or application interacts with individuals, groups, or external systems can be represented with the help of an effective use case diagram: goals that your system or application aids those entities (sometimes referred to as actors) in achieving as well ...
DEEP DIVE + WNS Actuarial Proprietary Platform This WNS’ Actuarial Proprietary platform creates a central repository for all assets including assumptions, facts, scenarios and supporting data. It enables the creation of business rules to extract data and create asset files for actuarial modeling softwar...
This, in turn, increases the volume of claims insurers can settle and lets claims experts focus on more complex scenarios that demand their attention. AI can train on millions of photos of settled claims to gain the equivalent of decades of experience much faster than a human adjuster...
A firm can also use VR technology to create a digital twin of an incident and test the outcomes of various risk scenarios. For example, flood damage to a building can make adjacent property and casualty policies riskier. Liabilities related to an earthquake or a hurricane can expand beyond the...
Unlike traditional, rule-based algorithms, machine learning doesn’t require engineers to explicitly map various input-output scenarios. This allows for forecasting and making decisions based on numerous, intricately connected factors, the thing that traditional programming can’t ...