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© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM39778

AI-Driven Approach to Advancing Backup Strategies and Optimizing Storage Solutions

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM39778

Volume:

8 |

12 |

Dec 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM39778

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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TM

Taresh Mehra

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Abstract

The rapid growth of data, coupled with the increasing complexity of cybersecurity threats, has necessitated innovative approaches to data backup and storage. This paper explores the application of Artificial Intelligence (AI) in selecting backup methods and storage devices, aiming to enhance efficiency, reduce costs, and ensure data integrity. Through data-driven strategies, AI can dynamically classify, prioritize, and manage backups while recommending optimal storage solutions tailored to specific organizational needs.

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Cite This Article

Taresh Mehra, "AI-Driven Approach to Advancing Backup Strategies and Optimizing Storage Solutions," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 12, Dec 2024. https://doi.org/10.55041/IJSREM39778

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Publication Date

12/16/2024

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