IIS Executive Insights Cyber Expert: David Piesse, CRO, Cymar
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Presented by RGA

Behavioral science techniques can significantly improve customer understanding of life insurance products and help reverse declining ownership rates, with RGA research offering practical strategies insurers can implement today. 

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Presented by Milliman

Predictive models in insurance are often built on data influenced by human decisions, structural inequities, and representation bias. Simply removing sensitive attributes does not eliminate bias. Milliman’s paper outlines the legal and business imperatives for fairness in actuarial practices and introduces core concepts of group fairness. It also presents practical bias-mitigation methodologies aimed at reducing legal exposure while maintaining predictive performance.

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Presented by McKinsey

Presented by Milliman

Milliman analyzed the adoption and use of generative artificial intelligence (AI) by insurers in the European market. Generative AI refers to deep-learning models capable of creating content by learning from the data they are trained on. This white paper focuses on large language models and vision algorithms and covers their applications in insurance, organizational approaches to implementing and scaling gen AI, the role of internal expertise, and technical and compliance challenges.

Presented by RGA

Glucagon-like peptide 1 receptor agonists (GLP-1s) may be poised to become an integral part of treating a range of chronic diseases – from cardiovascular disease to cancer – and could improve all-cause mortality rates.

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Presented by Milliman

Presented by RGA

As the insurance industry evolves in response to technological advancements, shifting customer expectations, and emerging risks, leaders must adapt their skills and strategies to stay ahead—insights shared by Senan O’Loughlin, RGA.

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