Machine learning

Members of the Society for Information Management speak out on their initial successes with artificial intelligence, and what future role they think the technology will play.

The firm's hire of Mike Schuster to work on AI may have implications for the small-business insurance platform it partially owns.

Due to retirement and outsourcing, insurers are facing a steep drop in institutional knowledge about the industry, their products and processes.

The insurer will leverage the university's research in the Internet of Things, data science and machine learning to help improve the life underwriting process.

The technologies are top of mind for the carrier in its efforts to modernize underwriting and claims management, says Puneet Bhardwaj, SVP of digital analytics.

Those investing in artificial intelligence should consider exactly what the company will most benefit from, and which technology will help it reach those goals.

Machines are taking over much of the grunt work associated with tasks, elevating the roles of humans to adopt more strategic roles.

Voice assistants provide carriers with another digital channel for engaging their policyholder customers, but the platforms remain somewhat limited for now.

The new program, "Zara," was developed in partnership with Spixii, a graduate of the carrier-sponsored Startupbootcamp accelerator.

More human processes are being automated, including the writing of software, which computers will soon start to do themselves, says Future Today Institute.

There will be widespread adoption of AI and especially of robotic process automation, as organizations look to boost the value of data, says Christopher Mazzei.

The drivers are disruptive market and technology forces that are reshaping everyone’s business environment and everyone’s concept of 'customer' and 'service.'

While there has been a great deal of hype around the technologies that make up AI, that will change to action this year according to Gartner analysts.

Moves from Allstate units Answer Financial and Arity, as well as MassMutual, illustrate increasing value of analytics expertise outside core insurance products.

Developers can now really push the limits of their artificial intelligence platforms, giving them not just more human-like and life-like speech patterns, but also more accurate responses.

AI promises to disrupt insurance and to provide major competitive advantage. The result is a flood of investments for leading players.

Several top colleges and universities are offering courses and concentrations in applying data to the sector.

Insurers can expect to receive a lot of update requests during the claims process, and should turn to AI to process them efficiently.

Four out of five employees surveyed see significant opportunity for AI to create a more engaging and empowering workplace.

True benefits of RPA are only possible with a logical implementation plan backed by a thorough governance framework and strategy.