How AI can manage insurance portfolios

Explore how Scenario-Based Machine Learning (SBML) is revolutionizing portfolio optimization in an uncertain world. This session explains the limitations of traditional mean-variance approaches and introduces SBML as a hybrid method combining stochastic scenario analysis with machine learning efficiency. Learn how SBML optimizes for complex objectives like liquidity risk, solvency capital requirements, and pension funded ratios, while maintaining human oversight and robust decision frameworks.