RingCentral had eight patents in artificial intelligence during Q1 2024. RingCentral Inc filed patents for a computer-implemented machine learning method to improve collaboration environments by analyzing text data, determining actions, generating threads, actor lists, and actionable items. Another patent involves adjusting shared content during communication sessions based on primary portions. Additionally, a method for generating real-time summaries during conference sessions by identifying speech segments, generating transcripts, determining topics, and streaming summaries. 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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RingCentral grant share with artificial intelligence as a theme is 62% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for structuring information in a collaboration environment (Patent ID: US20240039749A1)
The patent filed by RingCentral Inc. describes a computer-implemented machine learning method aimed at enhancing collaboration environments. The method involves receiving text data from users, generating statements by partitioning the text data, determining acts associated with the statements using a trained machine learning model, and creating actor lists based on the statements and acts. Additionally, the method includes generating threads using the statements and acts, as well as extracting participant data, named entity data, and conceptual type data from the statements to inform the actor lists.
Furthermore, the patent outlines a machine learning system that implements the described method, including a processor and memory storing instructions for receiving text data, generating statements, determining acts, and creating actor lists. The system also involves determining actionable items for actors, generating threads based on statements, and sending actionable items to actor representations. The actionable items can include tasks, requests, prioritized messages, to-do lists, checklists, reminders, alerts, notifications, calendar invites, or meeting invitations. The system aims to streamline collaboration by leveraging machine learning to enhance communication and task management within a collaborative environment.
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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.
