Neural networks improve risk differentiation

www.datadive.systems/neural-networks

The application of neural network-based models for conditional quantile estimation in non-life insurance can significantly impact profitability by providing better risk assessment and premium pricing strategies.  By leveraging neural network-based models, insurers can enhance their risk assessment and premium pricing, leading to better differentiation between good and bad risks.