EAA Web Session: Actuarial Data Insights: A Practical Guide to RAG & Techniques
Announcement from the EAA organiser:
Unlocking Actuarial Data Insights: A Practical Guide on RAG and Advanced Techniques In the continuously evolving landscape of Artificial Intelligence (AI), Retrieval Augmented Generation (RAG) has emerged as a disruptive technology transforming how we interact with AI systems. RAG combines the strengths of information retrieval and Large Language Models to create powerful applications that can access and use vast amounts of data to generate contextually relevant and informative responses. This web session is designed to equip actuarial professionals with a solid understanding of RAG and its practical applications in the actuarial field. The session will be split into a theoretical deep dive and a hands-on session. Participants will discover the theory behind RAG and its core components, including the key role played by vectors and vector stores, and explore advanced engineering techniques that drive superior performance, such as query decomposition, re-ranking, prompt engineering, and agents.
Click here. (Note: timing via that link is in CEST [Central European Summer Time].)
Claudio Giorgio Giancaterino is a qualified Actuary who works during the day with Intesa Sanpaolo Assicurazioni, an Italian Insurance Company based in Milan. In his free time, he is involved in data science activities. In the past, he was an assistant professor of Insurance Statistics at the Catholic University of Milan. He collaborated with the IAA and IFoA in several working parties and attended several data science competitions. He held workshops and talks at several conferences/meetups. He’s a member of the Astin and the Italian Actuarial Body Association.