Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Self-Learning AI Systems in IT Operations: Transforming enterprises through autonomous intelligence

Breadcrumb

  • Home
  • Self-Learning AI Systems in IT Operations: Transforming enterprises through autonomous intelligence

Rajkumar Gopalakrishnan *

Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 3524-3531

Article DOI: 10.30574/wjarr.2025.26.2.2026

DOI url: https://doi.org/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

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-2026.pdf

Preview Article PDF

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

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution