Link: https://www.dig-in.com/opinion/5-use-cases-for-machine-learning-in-the-insurance-industry
Excerpt:
4. Fraud detection
Unfortunately, fraud is rampant in the insurance industry. Property and casualty insurance alone loses about $30 billion to fraud every year, and fraud occurs in nearly 10% of all P&C losses. ML can mitigate this issue by identifying potential claim situations early in the process. Flagging early allows insurers to investigate and correctly identify a fraudulent claim.
5. Claims processing
Claims processing is notoriously arduous and time-consuming. ML technology is a tool to reduce processing costs and time, from the initial claim submission to reviewing coverages. Moreover, ML supports a great customer experience because it allows the insured to check the status of their claim without having to reach out to their broker/adjuster.
Author(s): Lisa Rosenblate
Publication Date: 9 Sept 2022
Publication Site: Digital Insurance