RingCentral. has filed a patent for a computer-implemented machine learning method to enhance collaboration environments. The method involves analyzing text data from users, generating statements, determining actions, creating threads, actor lists, and actionable items. GlobalData’s report on RingCentral gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on RingCentral, Intelligent contact centers was a key innovation area identified from patents. RingCentral's grant share as of January 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Machine learning method for improving collaboration environment
A computer-implemented machine learning method has been patented for enhancing collaboration environments. The method involves receiving text data from users, generating statements, determining associated acts using a trained machine learning model, and creating actor lists based on the statements and acts. Additional features include generating threads, global graphs, and extracting participant data, named entity data, and conceptual type data to enhance the actor list generation process.
Furthermore, a machine learning system has been developed to improve collaboration environments by executing similar processes as the patented method. This system includes determining actionable items for actors, generating threads, and providing various actionable items such as tasks, requests, reminders, and calendar invites. The system also involves generating actor representations and sending actionable items directly to display modules without the need for database storage. Additionally, a non-transitory, computer-readable medium storing instructions for implementing the method has been patented, including features like generating threads, global graphs, extracting participant data, and processing feature data and semantic vector data for determining acts. These innovations aim to streamline collaboration processes and enhance productivity in various environments.
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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.
