Data is the lifeblood of any machine learning model. (ipopba/Adobe Stock)
Machine learning ("ML") has been one of the most prolific areas when it comes to high-impact use cases for the insurance industry. And within insurance, claims management offers one of the most promising areas to apply this technology due to the large amount of data available to train algorithms and the consistency of principles applied in the claims assessment process. Here, we look at some of the use cases for ML in claims and challenges limiting adoption.
Want to continue reading?
Become a Free PropertyCasualty360 Digital Reader
Your access to unlimited PropertyCasualty360 content isn’t changing.
Once you are an ALM digital member, you’ll receive:
- Breaking insurance news and analysis, on-site and via our newsletters and custom alerts
- Weekly Insurance Speak podcast featuring exclusive interviews with industry leaders
- Educational webcasts, white papers, and ebooks from industry thought leaders
- Critical converage of the employee benefits and financial advisory markets on our other ALM sites, BenefitsPRO and ThinkAdvisor
Already have an account? Sign In Now
© 2024 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.
