As fraudsters submit AI-manipulated images of car crashes, Milliman’s research is helping global motor insurers separate the real claims from the scams.

Open finance may have a profound influence on insurance in Europe, where new entrants could outcompete legacy carriers and seize customer relationships.

For timely compliance with Europe’s new AI-Act, insurers should start assessing the risk level of their AI, implement measures, and monitor performance.

Projecting insured losses in the Netherlands and France for varying climate scenarios, using open data

With the recent advancement of natural language processing models, we explore how they could be used in the insurance sector.

While data science techniques offer immense potential for risk managers, (re)insurers need a multidisciplinary approach to tackle challenges and ensure successful implementation.

In this introduction to large language models (LLMs) for insurance professionals, we discuss how these components of artificial intelligence are trained to produce accurate results.

Methods to detect anomalies can be used to find fraudulent claims in insurance, especially in products with a large frequency of payments, such as in healthcare.

Healthcare fraud is considered a material risk in the Netherlands, and there is a growing effort by insurers to tackle the issue of health insurance fraud given its materiality.

This article summarises the results of a research study on accelerating projections of life insurance portfolios by compressing the data of underlying policies.