Leveraging Artificial Intelligence in IT Operations for Proactive Incident Management

Abstract

In recent years, Artificial Intelligence (AI) has emerged as a transformative force in Information Technology (IT) operations, reshaping traditional incident management practices. This paper explores the application of AI-driven tools and techniques for proactive incident management within IT operations, focusing on how AI can predict, prevent, and resolve issues before they escalate into major disruptions. By leveraging machine learning algorithms, natural language processing, and anomaly detection models, AI enables IT systems to identify patterns and detect potential issues in real time. This proactive approach reduces downtime, enhances service reliability, and improves overall operational efficiency. Furthermore, the integration of AI in IT operations offers predictive insights and facilitates automated incident response, allowing IT teams to focus on strategic initiatives rather than repetitive troubleshooting tasks. This paper provides an overview of the current AI applications in IT operations, the benefits of proactive incident management, and challenges organizations may face during implementation. The findings underscore the potential of AI to revolutionize IT operations by creating more resilient and adaptive systems that align with modern business needs.