Generative AI for Synthetic Actuarial Data

This session is designed for practitioners who seek to understand when generative models add value, how to implement them, and the trade-offs involved. Rather than focusing purely on theory, the session emphasises intuition, hands-on practice, and pragmatic, real-world decision-making.

Participants

This web session is designed for actuaries, actuarial students, data scientists, and product developers working within the risk analytics and insurance sectors. It is particularly relevant for professionals seeking to improve their expertise in applying Generative AI to generate synthetic data.

Attendees should have basic knowledge of Machine Learning, Deep Learning, and Python. Participants will also need active access to Google Colab and a GenAI platform (such as ChatGPT, Gemini, or Claude).