RingCentral‘s patented method allows users to create online collaborative teams within an online chat environment. The system automatically determines privacy settings based on member attributes, team name, and description. Teams can be public or private, with public teams accessible to a subset of members outside the organization. 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 March 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.
Creating online collaborative teams with automatic privacy settings determination
A recently granted patent (Publication Number: US11968213B2) outlines a computer-implemented method for creating teams within an online collaboration environment. The method involves receiving a request with team members, a team name, and a team description, retrieving attribute data of team members from a database, and using a machine learning algorithm to automatically determine whether the team's privacy setting should be public or private based on the attribute data, team name, and description. The algorithm is trained to output a privacy setting, and the team is created accordingly. If a different privacy setting is selected, the team is created based on that choice. The public setting allows access to a subset of members outside the team's organization, while the private setting restricts access to only team members within the organization.
Furthermore, the patent includes provisions for monitoring communication and activity data of team members to determine and automatically change the team's privacy setting based on this data. The patent also covers a non-transitory, computer-readable medium storing instructions for executing the method and a system with a processor and memory for implementing the method. The system can receive requests to create teams, retrieve attribute data, determine privacy settings using a machine learning algorithm, and create teams based on the determined settings. Additional instructions stored in the memory allow for displaying, confirming, and updating privacy settings based on user selections. The system also includes monitoring capabilities for communication and activity data to adjust the team's privacy setting accordingly. Overall, the patent provides a comprehensive method and system for efficiently creating and managing teams within an online collaboration environment with customizable privacy settings based on machine learning algorithms and user preferences.
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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.
