This inventor holds 1 USPTO granted patent. Top assignee: Uipath Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: The Innovations of Theodore G Kummert
Introduction
Theodore G Kummert is an accomplished inventor based in Woodinville, WA (US). He has made significant contributions to the field of automation through his innovative patent. His work focuses on enhancing the understanding of user intent in computing systems, which is crucial for improving task automation.
Latest Patents
Theodore G Kummert holds a patent for "Intent-based automation." This invention discloses a method for discovering automatable tasks and determining task variants in data. The patent emphasizes the use of task capture data to identify task variants in task mining data. By employing artificial intelligence (AI) and machine learning (ML) models, the invention aims to understand user actions semantically. This approach allows for a more accurate determination of user intent, rather than merely observing the actions performed on the system. The invention also details how application logs and semantic understanding can facilitate this process. Task capture for individual user flows is performed, and algorithms are utilized to identify similarities and unique aspects of these flows. Ultimately, this leads to the creation of a process graph that includes decision points representing the unique flows.
Career Highlights
Theodore G Kummert is currently associated with UiPath Inc., a leading company in the field of automation. His work at UiPath has allowed him to explore and develop innovative solutions that enhance automation processes. His expertise in AI and ML has positioned him as a valuable asset in the industry.
Collaborations
Theodore collaborates with Justin Marks, a coworker at UiPath Inc. Their combined efforts contribute to the advancement of automation technologies and the development of user-centric solutions.
Conclusion
Theodore G Kummert's contributions to the field of automation through his patent on intent-based automation highlight the importance of understanding user intent in computing systems. His work continues to influence the automation landscape, paving the way for more intelligent and efficient systems.