This inventor holds 1 USPTO granted patent. Top assignee: Lexisnexis Risk Solutions, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Innovations by John Beal in Predicting Underwriting Risk
Introduction
John Beal is an accomplished inventor based in Milton, GA (US). He has made significant contributions to the field of insurance technology, particularly in predicting underwriting risk through innovative systems and methods. His work focuses on utilizing historical insurance claim data to enhance risk assessment processes.
Latest Patents
John Beal holds a patent for "Damage claim clustering for predicting underwriting risk." This patent outlines systems and methods for estimating current roof conditions and potential underwriting risk using insurance claim data. The innovation involves clustering historical claims for confirmed weather-damaged homes by claims stemming from one or more weather events. This approach helps identify potential areas where damage has occurred, even if a claim has not yet been filed. Additionally, the patent suggests that claims for weather-related vehicle damage may be utilized to predict weather-related roof damage.
Career Highlights
John Beal is currently employed at LexisNexis Risk Solutions, Inc., where he applies his expertise in risk assessment and insurance technology. His innovative approach has positioned him as a valuable asset in the industry, contributing to advancements in underwriting practices.
Collaborations
John has collaborated with notable colleagues such as Prasanth Kambhatla and George Hosfield. Their combined efforts have fostered a collaborative environment that encourages innovation and the development of cutting-edge solutions in the field.
Conclusion
John Beal's contributions to predicting underwriting risk through his patented innovations demonstrate his commitment to enhancing the insurance industry. His work not only improves risk assessment but also paves the way for future advancements in insurance technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
