Actuarial science meets geopolitical forecasting. Explore the Lux CWS Predictive Model—a sophisticated machine learning tool that analyzes hundreds of socio-economic indicators to objectively evaluate the risk of future global conflicts.
Deep learning architectures have proven capable of approximating almost any function. Uncover how the actuarial profession is slowly adopting Neural Networks and Bayesian Machine Learning frameworks to quantify uncertainty with unparalleled depth.
Fraudulent claims inflict massive industry losses. Fortunately, Machine Learning drastically improves automated fraud detection. Discover actionable methodologies for identifying data anomalies and optimizing claims investigations.
Presented at the TIGI Conference, this analysis proves that Machine Learning offers robust solutions to modern insurance pricing. Learn how ML bypasses the constraints of GLMs to accurately process vast datasets and expose hidden market trends.
Unlike traditional stochastic models, Machine Learning discovers hidden, adaptive patterns in massive datasets without relying on foundational assumptions. Explore how the Lux Profitability Analysis Tool utilizes ML to revolutionize risk prediction.