ML & DL associated with AI and ML implementations . Financial concerns – such as the cost of implementation , uncertainty around ROI and competing priorities – were cited by 93 % of adopters . In addition , three major areas pose the biggest issues for carriers : staffing , data , and compliance and regulatory challenges .”
Still a role for humans in an ML / DL world Despite a rapid evolution in the underlying technology , and inevitable optimism about what ML and DL can bring to the insurance sector , there are still potential pitfalls and limitations . One oft-discussed topic of
“ AI models live or die by the data they are trained on .
Up to 80 % of the time it takes to develop an AI model is devoted to ensuring the data is of a high standard ”
OLIVER TEARLE
HEAD OF INNOVATION TECHNOLOGY , THE AI CORPORATION
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