
Imagine a world where insurance companies can predict portfolio performance under countless economic scenarios with pinpoint accuracy, balancing risk, return, and regulatory demands seamlessly. This is no longer a distant dream but a reality brought to life by Scenario-Based Machine Learning (SBML), a groundbreaking approach that is transforming portfolio optimization in the insurance industry. Unlike traditional methods that often rely










