Year: 2024
Type: article
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. Keywords AI in backup, data storage optimization, data classification, dynamic scheduling, hybrid backup
DOI: 10.55041/ijsrem39778
Author: Taresh Mehra
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405610308
