Machine learning

But only about 8% of insurers have fully automated some part of their processes, according to Capgemini survey.

With the ability of artificial intelligence to arrive at its own conclusions, governance over the machines is critical for the sake of business executives and customers alike.

Policyholders will be making incremental changes to the car fleet, giving carriers several coverage and value-add options.

Looking to learn more about big data challenges, machine learning potential or data science opportunities? These titles may be just the ticket.

AI and other technologies are changing the kinds of jobs the insurance company needs, says CEO Tom Wilson.

Insurers are face challenges navigating GDPR and dealing with many different repositories of information, among others.

Novarica's Impact Awards program identifies companies with leading innovations.

Insurers should identify priorities, assessing where they are and how blockchain would get them there and prioritize possible use cases, says Boston Consulting Group.

DFV, which is a heavy user of AI in claims management, wants to double its customer base by 2019.

It is relatively inexpensive for insurers to try out the technologies -- and not risk falling behind.