Insurance has been fertile ground for artificial intelligence innovation, working as it does at the nexus of giant datasets, risk assessment, predictive analytics, fintech, and customer service.

Good undergraduate understanding of distribution theory and stochastic processes. ST202, ST302 or their equivalent. A self-contained introduction to insurance risk analysis. Starting from classical ...

Predictive analytics is a practical application of Artificial Intelligence that uses techniques like machine learning to ...

Through a series of examples and practical hands-on exercises you will explore the five-step disaster risk analytics workflow, discovering how to assess the fiscal impact of disasters and how DRF ...

Insurance has been fertile ground for artificial intelligence innovation, working as it does at the nexus of giant datasets, risk assessment, predictive analytics, fintech and customer service.

CyberCube, the provider of cyber risk analytics for the insurance industry, has signed a multi-year partnership with Mathison Insurance Partners. The collab marks a key milestone in empowering ...

many organisations are looking for risk managers who have both traditional risk management knowledge and data analysis skills to solve the problems presented in the world today. This programme ...

The core courses unit introduce you to mathematical principles and practical tools for Optimization, Decision Making, Data Analytics, Statistical Analysis, Simulation and Risk Analysis. Specific ...