Machine learning

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.

The connected world offers expanded insurance opportunities that can yield billions of dollars in additional revenue, but requires carriers to be more flexible, Accenture says.

Estimates vary wildly from 300,000 skilled practitioners to less than 10,000 worldwide.

IT jobs will be concentrated at the insurer's Cleveland and Colorado Springs locations as it looks to fill 7,500 total positions across departments.

The adoption of machine learning and the need for access to data beyond just data science team is changing how many firms approach information warehousing.

Mark Wilson's company is working with Tesla to insure driverless vehicles.

Insurers looking to leverage automated, AI-driven customer communications need to make sure they offer value.

Organizations are producing larger amounts of information than ever before and there needs to be efficient ways to categorize and interpret it all. That’s where artificical intelligence comes in.

The technology has the potential to effect the industry's data usage, risk modeling practices and core systems, according to Novarica.

While the industry is concentrating on smaller plays right now, artificial intelligence has transformative implications for carriers and policyholders.

Tech leaders note, however, that technology can't succeed without organizational incentives that focus on customer engagement.