Data architecture

AI-powered catastrophe and risk models use varied sources, including aerial imagery.

Rebuilding artificial intelligence algorithms to explicitly integrate transparency and overcome black box limitations.

Data scientist Cathy O'Neil warns that insurance companies need more risk pooling.

In May, the California Department of Insurance sent surveys to property & casualty insurers, to get information about how insurers are using tools like big data, artificial intelligence and machine learning in their decision making processes.

Predictive models are a tool to address a business problem, not a solution.

The shortcomings of emerging "climate services" are concerning to some observers.

Consider introducing specific touch points and service level expectations.

The idea is to use advanced analytics to drive innovation and create actionable insights throughout the insurance lifecycle.

Insurers can gain deeper insight into risks.

Alongside extreme weather events, issues like affordability and risk perception contribute to the lack of insurance protection.