AI-Powered Cloud Automation: A Scholarly Perspective

Amjala, Shravan Kumar (2025) AI-Powered Cloud Automation: A Scholarly Perspective. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2664-2672. ISSN 2582-8266

This article explores the transformative integration of artificial intelligence and machine learning into cloud infrastructure, creating a paradigm shift in enterprise IT operations. As organizations increasingly migrate to distributed cloud environments, the inherent complexity demands sophisticated automation beyond traditional manual capabilities. AI-powered cloud automation addresses these challenges through intelligent orchestration, predictive resource scaling, and autonomous optimization mechanisms. The synergistic relationship between AI and cloud technologies enables self-optimizing systems that continuously adapt to changing business requirements while enhancing security posture and optimizing operational costs. By examining key dimensions including dynamic resource management, enhanced security frameworks, cost optimization strategies, and multi-cloud orchestration, this article illuminates how intelligent automation creates resilient, economically efficient digital infrastructures that reduce human intervention while improving performance reliability and business agility. These technological advancements represent not merely incremental improvements but rather a fundamental reimagining of enterprise computing paradigms.