Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India.
World Journal of Advanced Research and Reviews, 2025, 26(02), 3524-3531
Article DOI: 10.30574/wjarr.2025.26.2.2026
Received on 16 April 2025; revised on 24 May 2025; accepted on 26 May 2025
This article examines the revolutionary impact of self-learning artificial intelligence (AI) systems on IT operations, highlighting their pivotal role in transforming traditional enterprises into autonomous organizations. By leveraging machine learning (ML), deep learning, and AIOps frameworks, these intelligent systems can detect, diagnose, and resolve operational issues with minimal human intervention. The article explores the architecture of self-learning AI systems, their applications in IT operations, challenges in implementation, and measurable business outcomes. Evidence suggests organizations implementing mature self-learning AIOps solutions have achieved substantial improvements in operational metrics, including fewer critical outages, faster incident resolution, and significant cost reductions.
AIOps; Self-Learning Systems; Autonomous Remediation; Cognitive Automation; IT Governance
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Rajkumar Gopalakrishnan. Self-Learning AI Systems in IT Operations: Transforming enterprises through autonomous intelligence. World Journal of Advanced Research and Reviews, 2025, 26(2), 3524-3531. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.2026