The insurance industry is undergoing a profound transformation, driven by the integration of Artificial Intelligence (AI) technologies across the entire value chain. From underwriting and pricing to claims handling and customer interaction, AI is reshaping traditional processes and enabling insurers to operate with greater speed, precision, and insight. As AI becomes a strategic lever for sustainable value creation, insurers must address not only technical implementation but also governance, regulatory compliance, and ethical considerations.
This transformation creates a pivotal opportunity for actuaries. With their deep expertise in the insurance business, data and risk modeling, and the regulatory landscape, actuaries are uniquely positioned to lead AI initiatives. Their role is evolving – from traditional tasks such as valuation and reserving to becoming key enablers of AI-driven innovation. Crucially, actuaries can drive AI-powered solutions not only within their core actuarial functions but also across the entire organization. By bridging the gap between data science and business strategy, they ensure that AI solutions are technically robust, aligned with business objectives, and compliant with regulatory expectations. Now is the time for actuaries to embrace this expanded role and actively shape the future of insurance.
This session begins with a strategic overview of how AI is transforming the insurance industry, setting the stage for a deeper exploration of its practical applications. It highlights the evolving role of actuaries—not only as technical experts in modeling and risk but also as strategic leaders who can guide AI adoption across the organization.
The session then transitions into a focused deep dive into selected use cases across the insurance value chain – from AI-supported claims management and underwriting to customer interaction via conversational AI and image analytics. A special emphasis is placed on Generative AI (GenAI), showcasing advanced techniques such as Retrieval-Augmented Generation (RAG) and structured outputs. These are illustrated through concrete examples, including:
- Automated reporting (e.g., SFCR, ORSA): reducing manual effort, increasing consistency, and improving quality.
- Internal knowledge assistants: enabling intelligent access to (actuarial) models, guidelines, and documentation.
- Document comparison: supporting structured analysis of financial reports, tariffs, ...
The session concludes with best practices for implementation, governance, and crossfunctional collaboration. It emphasizes how actuaries can take a leading role in these initiatives – ensuring that AI solutions are not only technically sound, but also strategically aligned and compliant with regulatory standards.
Early-bird discount is available for bookings made by 23 December 2025.
