Claims

Historical data offers outdated information. Real-time data keeps you informed of changes to a policyholder’s risk profile, letting you adjust premiums. 

Here are five ways to use insurance data to gain insights on claims, underwriting, marketing, and operations and gain a competitive advantage.

Risk management has been slow to adopt generative AI. Fortunately, that is starting to change.

As the insurance sector looks for ways to fast-track claims processing, adopting AI is not just a trend but a must.

Cohort analysis and AI detect insurance fraud by identifying subtle anomalies, emerging trends, and contextual insights.

Success with Gen AI comes from identifying the places in the customer journey where AI can supplement or enhance the experience.

The number and types of products that could be in scope for future PFAS litigation are boundless. Companies must prepare now. 

Large language models will let insurers onboard, renew and service risks at close to zero marginal cost, underpinned with consistent control over risk selection.