Data architecture

Bloomberg Green found in an exclusive analysis that risk models often disagree with each other on fundamental assessments of vulnerability.

Applying AI to insurance claims processing improves its predictive analytics, use of predictive models and control of costs.

Digital Insurance reached out to several insurance professionals to gain insight into what parametric insurance is, when it's triggered and how access to data plays a role.

Insurance industry leaders must proactively develop risk mitigation strategies in order to optimize the use of Gen AI for insurers and their customers, alike

Climate change presents uncertainty for insurance companies but also creates opportunities for technological innovation

Chief underwriting officer finds ways to do more with technology and coverage of risks.

Digital Insurance spoke with three actuaries about emerging technologies and the challenge of explainability within complex models.

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.

Applying AI technology moves slowly, but has potential to produce more sophisticated insights

The conversion process can be fraught with integration complexities.

Data issues hinder the member experience and cause premium loss for carriers.