20230418524. Utilizing Generative Artificial Intelligence To Improve Storage System Management simplified abstract (PURE STORAGE, INC.)
Utilizing Generative Artificial Intelligence To Improve Storage System Management
Organization Name
Inventor(s)
PRAKASH Darji of SANTA CLARA CA (US)
FARHAN Abrol of BERKELEY CA (US)
NAVEEN Neelakantam of MOUNTAIN VIEW CA (US)
Utilizing Generative Artificial Intelligence To Improve Storage System Management - A simplified explanation of the abstract
This abstract first appeared for US patent application 20230418524 titled 'Utilizing Generative Artificial Intelligence To Improve Storage System Management
Simplified Explanation
The patent application describes a system that uses artificial intelligence to analyze and identify issues with a storage system. It then determines a solution for the issue based on information associated with the storage system or other similar systems. Finally, it generates a response that describes the solution for the issue.
- The system uses artificial intelligence to analyze and identify issues with a storage system.
- It determines a solution for the issue by considering information associated with the storage system or other similar systems.
- The system generates a response that describes the solution for the issue.
Potential Applications
This technology can be applied in various industries and scenarios, including:
- Data centers: The system can be used to identify and resolve issues with storage systems in large-scale data centers, ensuring smooth operations and minimizing downtime.
- Cloud storage providers: By analyzing and solving storage system issues, the system can help cloud storage providers maintain high-quality services and meet customer demands.
- Enterprise storage management: The system can be utilized by enterprises to proactively identify and address storage system issues, improving overall efficiency and data management.
Problems Solved
The technology addresses several problems related to storage system management, including:
- Manual issue identification: The system eliminates the need for manual inspection and troubleshooting of storage system issues, saving time and resources.
- Delayed issue resolution: By quickly analyzing and determining solutions for storage system issues, the system reduces the time it takes to resolve problems, minimizing disruptions and downtime.
- Lack of expertise: The system leverages artificial intelligence to provide expert-level analysis and solutions for storage system issues, even in cases where human expertise may be limited.
Benefits
The technology offers several benefits for storage system management:
- Improved efficiency: By automating the issue identification and resolution process, the system increases the efficiency of storage system management, allowing for faster problem-solving.
- Enhanced reliability: The system's ability to quickly identify and address storage system issues improves the overall reliability and performance of the systems, ensuring smooth operations.
- Cost savings: By minimizing downtime and optimizing storage system performance, the technology helps reduce costs associated with maintenance, repairs, and potential data loss.
Original Abstract Submitted
content including information describing an issue with a storage system is received. the content is analyzed by a generative artificial intelligence (ai) model to identify the issue described by the content. a solution for the issue is determined based on at least one of information associated with the storage system or information associated with one or more other storage systems. a response including a description of the solution for the issue is generated.
