Authors : Azzam Sorour

Volume/Issue : Volume 10 - 2025, Issue 7 - July

Google Scholar : https://tinyurl.com/5f4nwry4

Scribd : https://tinyurl.com/558rbu56

DOI : https://doi.org/10.38124/ijisrt/25jul728

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.

Abstract : The integration of Artificial Intelligence (AI) into IT infrastructure equipment marks a new era of automation, intelligence, and resilience. As enterprises face increasing complexity and demand for reliable, scalable networks, traditional approaches often fall short in providing proactive management and rapid response capabilities. AI-driven solutions introduce predictive maintenance, intelligent resource allocation, and enhanced security, transforming IT infrastructure from static frameworks into dynamic, self-optimizing systems. This article explores how AI innovations are reshaping IT infrastructure equipment, enabling organizations to achieve higher efficiency, reduced downtime, and smarter operations, ultimately aligning infrastructure management with the evolving digital landscape.

References :

1. J. Smith et al., "Artificial Intelligence for Data Center Automation," IEEE Transactions on Cloud Computing, vol. 9, no. 2, pp. 567-580, 2021.
2. L. Chen and M. Zhang, "Predictive Maintenance in IT Infrastructure: AI Applications," Journal of Network and Systems Management, vol. 29, no. 4, pp. 785-799, 2022.