Traditional reinsurance underwriting often relied on annual renewal cycles, limited historical datasets, and delayed loss ...

Introduction The position of Senior Data Scientist is vacant. The Senior Data Scientist will report directly to the Senior Manager: Data Analytics and forms part of the Research and Development ...

Introduction The position of Senior Data Scientist is vacant. The Senior Data Scientist will report directly to the Senior Manager: Data Analytics and forms part of the Research and Development ...

In an age where data drives decisions and automation defines excellence, the insurance industry stands at the cusp of a digital renaissance. At the ...

The machine learning model the team implemented overcame the challenge of limited data to incorporate the alpha conotoxins' amino acid sequences, secondary structure propensities and electrostatic ...

What inspired Psicle's focus on machine learning? Stephan: Dynamo Analytics was founded to design and build the future of actuarial and financial modelling. One of our goals is to have the actuaries ...

This article presents an intelligent insurance actuarial model based on machine learning and data mining, which helps to achieve accurate prediction and pricing of insurance actuaries.

Traditional actuarial methods in insurance are inadequate and have low computational accuracy when dealing with massive amounts of information in the modern insurance industry. This article intended ...

Computational models and machine-learning methods are increasingly valuable for understanding how neural networks in the brain process information, and how this information influences decision-making ...