Processing claims are a major cost driver for insurers, accounting for 30% of operating costs on average. Inefficient claims processing leads to claims leakage, which is money lost from spending more on resolving a claim than necessary, through decision making errors and additional touchpoints. Insurers can use AI to improve efficiencies and reduce costs. However, longstanding ethical and scalability concerns have hindered AI adoption in the industry.

Join us for a Chat with the Lab webinar on how we can create an AI pipeline architecture on IBM's Cloud Pak for Data that's motivated by real non-life insurance projects and addresses the longstanding ethical and scalability concerns. 

Tune in on Thursday, July 22nd at 12 PM ET for Processing Insurance Claims with Automated, Scalable and Fair AI webinar.

Share any of your questions below and register to join here. 

Thanks, 

Processing claims are a major cost driver for insurers, accounting for 30% of operating costs on average. Inefficient claims processing leads to claims leakage, which is money lost from spending more on resolving a claim than necessary, through decision making errors and additional touchpoints. Insurers can use AI to improve efficiencies and reduce costs. However, longstanding ethical and scalability concerns have hindered AI adoption in the industry.

Join us for a Chat with the Lab webinar on how we can create an AI pipeline architecture on IBM's Cloud Pak for Data that's motivated by real non-life insurance projects and addresses the longstanding ethical and scalability concerns. 

Tune in to this on demand webinar, Processing Insurance Claims with Automated, Scalable and Fair AI.

Share any of your questions below and register to watch here. 

Thanks,