CommVault Systems had 15 patents in digitalization during Q4 2023. CommVault Systems Inc has developed an improved information management system that optimizes deduplication performance, applies different storage policies to various applications, and automatically detects and applies appropriate information management policies to client devices. They have also introduced systems and methods for single instancing data blocks, managing data storage expiration based on user-defined rules, and an enhanced content indexing system with a distributed architecture. Additionally, they have created systems and methods for creating local secondary copies of data stored in online repositories efficiently. GlobalData’s report on CommVault Systems gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

CommVault Systems grant share with digitalization as a theme is 46% 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 dynamically adjust data creation to minimize negative effects. Additionally, the system can enhance deduplication performance by applying different storage policies to various applications on a client device and automatically detecting the region of the client device to apply appropriate information management policies. The system utilizes machine learning models to determine optimal deduplication settings based on performance data and metadata from secondary copy operations, allowing for the assignment of different information management policies to primary data to improve deduplication performance.

The networked information management system and computer-implemented method outlined in the patent involve accessing deduplication performance data and secondary copy operations metadata, providing this information to a machine learning model for evaluation, and using the model's output to determine improved deduplication settings. By assigning different information management policies to primary data based on machine learning insights, the system can optimize deduplication performance. Furthermore, the patent details the training of the machine learning model using data from secondary copy operations, including application sizes, operation times, encryption status, and resulting data sizes, among other factors. The system can also assign policies based on application types and geographical regions of client devices, ensuring efficient and consistent information management practices.

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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.