Artificial Intelligence (AI) Agents in Asset and Liability Management (ALM)

Discover how Agentic AI is transforming Asset and Liability Management (ALM). This session explains the foundations of large language models (LLMs), techniques like Retrieval-Augmented Generation (RAG) and Chain-of-Thought reasoning, and how AI agents can automate data ingestion, optimize algorithms, and synthesize outputs for better decision-making. Learn from the Solvencii Copilot case study - a multi-agent AI assistant designed to enhance ALM modeling and empower actuaries with real-time insights and automation.