Gopalakrishnan, Rajkumar (2025) Self-Learning AI Systems in IT Operations: Transforming enterprises through autonomous intelligence. World Journal of Advanced Research and Reviews, 26 (2). pp. 3524-3531. ISSN 2581-9615
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Abstract
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.
Item Type: | Article |
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Official URL: | https://doi.org/10.30574/wjarr.2025.26.2.2026 |
Uncontrolled Keywords: | AIOps; Self-Learning Systems; Autonomous Remediation; Cognitive Automation; IT Governance |
Depositing User: | Editor WJARR |
Date Deposited: | 20 Aug 2025 11:27 |
Related URLs: | |
URI: | https://eprint.scholarsrepository.com/id/eprint/3491 |