Machine learning

Efforts to make AI more accessible also may alleviate the shortages of data and computer scientists.

The incubator launched in September by Startupbootcamp kicks off early next month in the traditional insurance capital.

Early adopters have training programs in place, Deloitte survey finds

The industry's human element is an asset that can’t be abandoned, especially at a time when disruptors are attempting to come in from all directions.

A November report finds consumers prefer that carriers determine premiums based on driver behavior, rather than traditional factors.

Advancements in natural language processing and machine learning algorithms are enabling machines to create human-like, digital conversations.

Many of these dangers stem from the increasing reliance of financial services companies on outside technology firms.

The range of technologies that are part of the AI family give carriers a lot of options in using it.

Insurance industry as a whole, however, lags other financial services somewhat in implementing robotic process automation, according to PwC.

One in three business leaders believe their company will need to further invest in artificial intelligence over the next 36 months to keep pace with competitors.