RPA

Carriers enter the new year with a sense of urgency to deploy faster, higher-impact capabilities aimed at enhancing underwriting, claims and customer interaction, says Aite Group.

Insurers face the risk of investing too heavily in RPA if they treat it as a long-term solution rather than a temporary fix.

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

Some tasks require so much human judgment, intuition and empathy that it will be a very long time, if ever, before AI assumes control.

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