Data architecture

Data scientists remain among the most sought-after of all workers, and that translates into very healthy salary ranges for several key job roles.

Jon Colello, president and head of underwriting, advises carriers to focus on technologies and partnerships reducing data sharing costs.

SVP Jerry Gupta notes the emerging technology has increasingly been used in distribution and claims straight-through processing.

The ability of modern tech entrants to analyze insurers' large data sets is a key part of their value propositions.

Several varieties of produce aren't covered by the initiative because the risk growers face is unclear.

The company is developing an instant-issue platform that delivers life policies to customers without fluid testing.

Almost a decade after Zurich's implementation, the insurer's cloud journey presents lessons for carriers undergoing similar projects.

The key number in question is an insurer’s PML, or probable maximum loss, due to a major weather event.

Modeling and experimentation are common across the industry, but nothing replaces the value of real-world events, says IBHS president and CEO Julie Rochman.

Not all data insights generate value to an organization, and some can be downright counter-productive.

Workers' comp insurer selects Valen Analytics' InsureRIght platform, gaining access to vendor's data consortium.

Another industry alliance is forged aimed at providing driver data to insurance companies.

Use cases range from risk modeling to fraud detection, says study.

Here’s how insurers can move important analytics projects from innovation to production.

College students were tasked with building data visualization tools for underwriters to assess impacts of catastrophes.

Organizations will use ‘time series forecasting’ to predict, control and change future events and outcomes.