Pure Storage had 18 patents in artificial intelligence during Q4 2023. Pure Storage Inc’s patents in Q4 2023 focus on utilizing artificial intelligence models to analyze and solve issues in storage systems, using machine learning to identify characteristics and changes in storage media, providing persistent storage for transient cloud computing services, delaying deletion of datasets, and implementing nonsequential readahead based on data access patterns. These innovations aim to improve efficiency and performance in storage management. GlobalData’s report on Pure Storage gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Pure Storage grant share with artificial intelligence as a theme is 44% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Utilizing generative artificial intelligence to improve storage system management (Patent ID: US20230418524A1)
The patent filed by Pure Storage Inc. describes a system and method for utilizing a generative artificial intelligence (AI) model to analyze content describing issues with a storage system, identify the problems, determine solutions based on system information or data from other storage systems, and generate responses detailing the solutions. The system can prompt for permission to implement the solution and carry out the necessary actions without user interaction, such as migrating workloads or performing software updates. Additionally, the AI model can utilize natural language processing to understand text descriptions of storage system issues and access a database of known issues and solutions for similar systems.
Overall, the invention aims to streamline the troubleshooting process for storage systems by automating the identification and resolution of issues through AI analysis. By leveraging system data and information from other storage systems, the system can efficiently generate detailed responses outlining solutions, potentially including configuration changes, software updates, or workload migrations. This approach not only enhances the efficiency of issue resolution but also reduces the need for manual intervention, improving the overall performance and reliability of storage systems, including cloud-based storage systems.
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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.
