This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Sap Se. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Gabriele Bodda: Innovator in Predictive Issue Tracking Systems
Introduction
Gabriele Bodda is a notable inventor based in Palo Alto, CA (US). He has made significant contributions to the field of issue tracking systems, particularly through his innovative patent. His work focuses on enhancing the efficiency of support ticket management by predicting the severity of issues.
Latest Patents
Gabriele Bodda holds a patent titled "Predicting the severity of an active support ticket." This invention describes an issue tracking system capable of predicting the likelihood that an outcome of interest will occur during the lifecycle of an active support ticket. The likelihood is represented as a severity index score. The system applies a predictive algorithm on attributes of the active support ticket to generate this score. The predictive algorithm can vary depending on the outcome of interest, while the correlation factors used to configure the algorithm depend on previously completed support tickets. Gabriele has 1 patent to his name.
Career Highlights
Gabriele Bodda is currently employed at SAP SE, where he continues to develop innovative solutions in the realm of software and support systems. His work at SAP SE has allowed him to leverage his expertise in predictive algorithms and issue tracking.
Collaborations
Gabriele collaborates with talented professionals such as Prerna Makanawala and Amith Manoharan Chithambaram. Their combined efforts contribute to the advancement of technology in support ticket management.
Conclusion
Gabriele Bodda's innovative approach to predicting the severity of support tickets showcases his commitment to improving issue tracking systems. His contributions are valuable to the field and demonstrate the potential of predictive technology in enhancing customer support.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
