As employees start to return to work after two years of mostly working remotely, smart employers are rethinking just about all aspects of how work is done to get the best of both the home and office worlds.
Now, insurers can automate the analysis and classification of incoming text by applying machine learning and using historical data.
Research has shown automated machine classification can be 30% more accurate and could increase productivity by 80%.
Here is a fully automated underwriting process—solving major challenges in structuring, extracting and analyzing unstructured data.
Customer care powered by artificial intelligence gives insurers the opportunity to save 30% of their service costs.
Insurers need a much higher artificial intelligence quotient (AIQ), but they face a crucial talent gap among employees.