INSURANCE
NSURANCE AND DL
Insurers have made commendable progress in utilising AI to automate and speed up laborious tasks . How can they employ ML and DL to drive greater insights ?
WRITTEN BY : ALEX CLERE
If you were a cynic , you would say insurance is an easy nut to crack . Consumers want insurers to pay out when there ’ s a valid claim , they want an easy and stress-free process for claiming , and they want the money in their bank account quickly . Insurers have employed artificial intelligence ( AI ) to help them realise this consumer-friendly utopia , but there ’ s progress to be made on utilising machine learning ( ML ) and deep learning ( DL ).
Alex Johnson , Head of Insurance Solutions at Quantexa , says the main difference between ML and DL is the ability for the model to ‘ think like a human ’ and make informed decisions through self-learning , rather than relying on outcomes already available on which to base decisions . He says that insurers should ‘ define the context ’ of data in order to make better use of it . insurtechdigital . com 65