Cloud Software Group had four patents in big data during Q1 2024. Citrix Systems Inc’s patents filed in Q1 2024 focus on troubleshooting applications by analyzing performance metrics and identifying causes of failures in sessions. The methods involve receiving data from an analytics engine, selecting messages based on performance metrics, and determining if an upgrade to an application is the cause of a session failure. The patents aim to improve application performance and user experience through targeted troubleshooting and upgrades. GlobalData’s report on Cloud Software Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Cloud Software Group grant share with big data as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Conversational agent for system troubleshooting and problem resolution (Patent ID: US20240104002A1)
The patent filed by Citrix Systems Inc. describes a method for troubleshooting applications by receiving performance data and tenant identifiers, obtaining user identifiers, selecting messages based on performance metrics, and sending messages to the identified users. The method involves presenting user interface elements for user actions, handling user service requests, interpreting requests through a natural language processor, generating service tickets, and retrieving knowledge base documents. Additionally, the method extends to sending messages to administrators based on performance metrics from virtual computing sessions.
Furthermore, the patent includes a computer program product with encoded instructions for troubleshooting applications, causing user interface actions, handling user service requests, interpreting requests, generating service tickets, and retrieving knowledge base documents. The system described in the patent comprises a storage and processor executing instructions to display content in application windows, receive performance data and tenant identifiers, obtain user identifiers, select messages based on performance metrics, and send messages to identified users. The system also includes features for user interface actions, handling user service requests, interpreting requests, generating service tickets, and retrieving knowledge base documents.
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