Big data

A look at three digital strategies for overcoming challenges.

Even though Gen AI adoption in the Japanese insurance industry may still be in its infancy, most major insurance companies have already incorporated some technology.

Suggestions for how property insurers can accomplish effective low touch claims processing.

Healthcare, research and technology professionals are collaborating to get insights about distracted driving from accident data, and using these to address insurance risks.

Third-party data is a key element for calculating insurers' profitability, even when drilling down into the specifics of what the carrier is underwriting. Bryan Adams of Arch Insurance spoke about how the firm manages its third-party data and data suppliers.

Ethical considerations when implementing AI include making sure data the models are built on is clean, standardized and tested.

Four top trends making the P&C insurance field a top-tier career choice for young professionals.

The path to achieving sustainability for auto insurers is an understandably complex operation.

The organization of state regulators' Principles Based Bond Project is a response to the industry's shift away from stable Treasury bonds and toward more complex securities.

NAIC, the association of state insurance regulators, has issued a 90-day call for collection of property and casualty coverage data at a zip code level of detail, to better understand climate change effects on the market. The group expects the call to yield insight on insurance availability and affordability.

Data analysis consultant Martin Ellingsworth points to gaps between standard vehicle prices and their values as exposing insurers to excessive risk.

Robust testing, new workflows, and enabling employees to experiment and explore AI, will enable insurance organizations to bypass Gen AI challenges.

What insurance underwriting looks like in the age of artificial intelligence and the role of human underwriters.

Hyperexponential recently received new venture capital funding, supporting its effort to modernize underwriting pricing tools and models.

Increased cyberattack risks due to Gen AI is convincing many types of commercial enterprises to get cybersecurity insurance coverage.

Insurers should look at governance policies, operations methods and modeling to pre-emptively keep bias and drift out of AI handling of underwriting and pricing, an expert on the technology recommends.

Willis Towers Watson's Sean Scranton responded to Digital Insurance questions about insurance companies' cybersecurity practices in relation to Gen AI.

Financial institutions move slowly but they respond with greater urgency when there's a consequence to not adopting technology.

Katherine Heaton, a claims focus group leader at Beazley, spoke with Digital Insurance about the release of Google's Tracking Protection.