Data Analytics

Off-the-shelf technology packages rarely produce exactly what an organization needs; with low-code, they can configure solutions to their unique needs.

California warns that it is watching and that "bias and discrimination in any form will be investigated and will not be tolerated."

Using a logical data fabric, insurance companies can apply a modern, agile approach that also allows them to streamline their data governance efforts.

Demand for data in today’s insurance companies is outpacing supply, and, in most cases, the throttle is organizational rather than technical.

Insurance must get beyond the hype of the "I" in AI and become more pragmatic in its use of AI/ML technologies for generating business insights.

Integrating a new feature, for example to provide dynamic quoting and pricing, usually takes months. Hyperautomation, such as low-code, provides robust solutions faster.

High-res data sees more than a shipment of glass: It sees a load of Gorilla Glass on clear summer roads or of crystal chandeliers on a pockmarked highway in a winter storm. 

Inflation, tight labor markets and economic volatility create a perfect storm for chief claims officers. The solution is advanced analytics.