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Targeted by Cyber Criminals: Why Insurers Must Confront the Human Element
The insurance industry is facing a full-blown cyber crisis. As insurers pursue digital transformation to meet rising customer expectations and improve operational efficiency, they're also becoming ...
Is Bad Network Performance Impacting Your Claims Experience?
When insurance customers call to file a claim after a car crash or natural disaster, they expect answers—not a dropped call or buggy application. But IT performance ...
Transforming CAT Modeling With AI: A Framework for Insurers
Insurers are fundamentally transforming catastrophe (CAT) modeling approaches with artificial intelligence (AI), machine learning (ML) and advanced climate data ...
Solving the Claims Puzzle: How Insurers Are Automating One Process at a Time
The insurance industry continues to grapple with the twin pressures of claims inflation and natural catastrophes. While premium increases have helped offset some of these ...
California vs. Florida: A Tale of Two Insurance Markets
Until recently, homeowners insurers weren't allowed to use catastrophe models to justify needed rate increases, or to include the cost of reinsurance in their rate indications in the state of ...
Beyond the Call: How Real-Time AI Lets Insurers Deliver Calm During Storms
When extreme weather events strike, property/casualty insurance providers can count on a deluge of customer service calls from policyholders with high personal and financial stakes. Each weather ...
Selling the Right to Sue
Having already paid out billions of dollars in claims related to the Eaton fire, more than 100 insurers have filed lawsuits against Southern California Edison to recoup these costs, alleging the ...
How Insurers Can Leverage Agentic AI as Public Data Disappears
The property/casualty insurance sector has long operated on a foundation of robust data analytics, with public sector information serving as a cornerstone for risk assessment, premium pricing, and ...