AI-Driven Approach to Advancing Backup Strategies and Optimizing Storage Solutions
Taresh Mehra · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2024
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