Machine learning

Progress toward a value-based care reimbursement system is slow, with clinicians hampered by a lack of information technology that could help them, according to a new survey of healthcare executives.

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.

The new capability can answer customer questions in 85% of scenarios, according to the company.

Both customer-facing and backoffice functions and tasks can benefit from robots. EY lists some common use cases.

Algorithms have been found to discriminate against minorities and women, including in the insurance industry.

Gartner Group has just released its '100 Data and Analytics Predictions Through 2022.' Here are the research firm's projections on where artificial intelligence is heading.

CSS insurance uses fast sentiment analysis on communications, helping the insurer steer customers toward the best treatment option.

With hundreds of options on the market, knowing which one is best for any organization is no easy task. Here's how to separate the best from the rest in a growing field.

Its venture arm is investing in a number of artificial intelligence companies, most recently machine-learning company HyperScience.

Rather than just replace jobs, advanced computing technologies could augment them, as long as investments and training are strategic, says Accenture.

Advanced analytics capabilities are the key platform for new products and services, EY’s David Bassi says.