For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

The gap between AI and traditional risk modelling is substantial. Traditional models often fall short when dealing with complex, non-linear relationships. In contrast, AI models thrive in detecting ...

Healthcare AI is scaling faster than clinical safety. Without clinicians in the loop, companies face growing liability, ...

Learn how the Advanced Internal Rating-Based (AIRB) approach helps financial institutions internally assess credit risk using ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

The global reinsurance broker Guy Carpenter, a partner to @Nasdaq and user of the Nasdaq Risk Modelling for Catastrophes service, continuously develops new catastrophe risk models. Mark Weatherhead, ...

This article was written by Antonios Lazanas, Head of Portfolio and Index Research at Bloomberg. Modern risk modelling is not just about monitoring risk. Sure, the specialists who manage risk are ...

Prediction models combining claims data with social determinants of health and additional, more-timely data sources using artificial intelligence (AI) can better identify individuals with the highest ...

Regulators around the world differ in their approach to model risk management (MRM) regulation – including their definitions of what a model is. While some are more prescriptive, others such as the UK ...

The LIFE-T1D model, demonstrated an ability to estimate the lifetime risk of heart disease among several groups of people with type 1 diabetes (T1D). Researchers have developed a tool they say can ...

Bermuda insurers still rely heavily on catastrophe models to manage risk, but uncertainty around climate impacts and claims ...