Claims litigation tends to suffer from a great deal of noise. There’s a lot of information managers need to process, from invoices to claims to counsel. And identifying useful insights in the context of all that noise can be difficult and painstaking.
AI technologies like machine learning and natural language processing separate the signal from the noise. They pull out the most important information from the massive amounts of extraneous data that claims departments pull in.
It can also automate many parts of the claims process, resulting in greater efficiencies, reduced costs, and more accurate claims.
Read this whitepaper for a deeper dive into:
- How AI is changing the insurance technology (insurtech) landscape.
- Using AI to improve invoice processing and bill review processes.
- How predictive analytics can help claims managers develop more accurate outcome estimates and make better decisions
