CommVault Systems had four patents in artificial intelligence during Q4 2023. CommVault Systems Inc has developed an improved information management system that can dynamically adjust the creation of secondary copy data to optimize deduplication performance and apply different storage policies to various applications. Additionally, techniques for automating media agent state management have been introduced, where poorly performing media agents can be disabled and replaced by alternate media agents based on various performance metrics. GlobalData’s report on CommVault Systems gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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CommVault Systems grant share with artificial intelligence as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Performing secondary copy operations based on deduplication performance (Patent ID: US20230376204A1)

The patent filed by CommVault Systems Inc. describes an improved information management system that can evaluate deduplication performance during secondary copy operations and adjust data creation dynamically to minimize negative effects. Additionally, the system can enhance deduplication performance by applying different storage policies to various types of applications on client computing devices. It can also automatically detect the region of a client computing device and apply an appropriate information management policy to avoid inconsistencies or errors due to administrator control.

The networked information management system outlined in the patent involves using a machine learning model to improve deduplication performance by adjusting parameters based on deduplication performance data and secondary copy operations metadata. The system can assign different information management policies to primary data based on the machine learning model's output, leading to more efficient deduplication operations. Furthermore, the system can train the machine learning model using data from secondary copy operations, such as application size, operation time, encryption status, and compression amount, to optimize deduplication performance. Additionally, the system can assign policies based on the type of applications running on client devices and the geographical region of the devices, ensuring effective information management tailored to specific scenarios.

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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.