17971082. AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract (Dell Products L.P.)
Contents
- 1 AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Organization Name
Inventor(s)
Bijan Kumar Mohanty of Austin TX (US)
Barun Pandey of Bangalore (IN)
Sabu K. Syed of Austin TX (US)
Hung T. Dinh of Austin TX (US)
AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 17971082 titled 'AUTOMATED DATA ARCHIVAL FRAMEWORK USING ARTIFICIAL INTELLIGENCE TECHNIQUES
Simplified Explanation
The abstract describes a patent application for an automated data archival framework using artificial intelligence techniques. The method involves obtaining data from storage systems, determining storage-related features, predicting data archival classes, and performing automated actions based on the predicted classes.
- The patent application describes a method for automatically archiving data using artificial intelligence.
- The method involves analyzing data from storage systems, identifying storage-related features, predicting data archival classes, and taking automated actions based on the predictions.
Potential Applications
This technology could be applied in various industries such as healthcare, finance, and e-commerce for efficient data management and storage.
Problems Solved
This technology solves the problem of manual data archival processes, which can be time-consuming and error-prone. By automating the archival process using AI, organizations can save time and resources.
Benefits
The benefits of this technology include improved data management, increased efficiency, reduced human error, and cost savings for organizations.
Potential Commercial Applications
A potential commercial application of this technology could be in cloud storage services, where automated data archival can help optimize storage space and improve overall system performance.
Possible Prior Art
One possible prior art for this technology could be existing data archival systems that rely on manual processes or basic automation without the use of artificial intelligence.
Unanswered Questions
How does this technology handle data security and privacy concerns?
This article does not address the specific methods or protocols used to ensure data security and privacy in the automated data archival process.
What are the potential limitations or challenges of implementing this technology in real-world scenarios?
The article does not discuss any potential obstacles or difficulties that may arise when implementing this automated data archival framework using artificial intelligence techniques.
Original Abstract Submitted
Methods, apparatus, and processor-readable storage media for implementing an automated data archival framework using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data associated with one or more storage systems; determining one or more storage-related features within the obtained data by processing at least a portion of the obtained data; predicting at least one data archival class, from a set of multiple predetermined data archival classes, for at least a portion of the obtained data by processing the one or more storage-related features using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one predicted data archival class.
