UiPath had 22 patents in future of work during Q2 2024. UiPath Inc’s patents in Q2 2024 focus on enhancing robotic process automation (RPA) through process evolution, RPA workflow micro-optimization, and intelligent workflow design. These patents involve utilizing artificial intelligence (AI) for planning and implementing RPA, integrating DevOps activities into RPA design interfaces, extracting features from screen images for task mining, and object-centric process mining. The goal is to improve the effectiveness and efficiency of RPA implementations by leveraging AI, predictive learning models, and advanced data processing techniques. GlobalData’s report on UiPath gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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UiPath had no grants in future of work as a theme in Q2 2024.
Recent Patents
Application: Process evolution for robotic process automation and workflow micro-optimization (Patent ID: US20240208049A1)
The patent filed by UiPath Inc. discloses a method for process evolution in robotic process automation (RPA) by scientifically planning RPA implementations using artificial intelligence (AI) and embedded analytics to measure and align RPA operations with business outcomes. The RPA workflows are optimized through the deployment of AI skills, such as machine learning models, to improve the effectiveness of RPA for a business. The process involves iteratively repeating the cycle of planning, measuring, and reporting, guided by AI, to enhance RPA efficiency and identify implementations based on estimated return on investment (ROI).
The patent further details computer-readable media storing programs that enable processors to receive RPA implementation plans, perform analytics on associated data, generate RPA workflows based on analytics, and control RPA robots to interact with computing systems. The data analyzed includes employee interactions, financial information, and workflow performance metrics, with the plan derived from processes identified through AI. The programs also facilitate the automatic identification of new processes for automation, iterative improvement of RPA effectiveness, and prioritization of activities within RPA workflows based on performance criteria. Additionally, the system allows for the modification of RPA workflows, testing of RPA robots, and deployment based on goal achievement and performance improvement confirmation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
