International Journal on Science and Technology

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Future of AI in Incident Management: Towards Autonomous IT Operations

Author(s) Lakshmi Narasimha Rohith Samudrala
Country United States
Abstract As IT environments are becoming increasingly complex, manual monitoring, static alerting, and human-led remediation are no longer scalable. AI-driven autonomous incident management transforms IT operations by enabling real-time anomaly detection, predictive failure prevention, and self-healing systems.
This paper explores the evolution of incident management from reactive to autonomous AI-driven operations. Highlighting the key technologies that power this transformation. It also examines the challenges organization face while implementing a fully autonomous incident management system and provides recommendations to overcome these challenges.
By implementing self-learning, AI-driven IT ecosystems, businesses can achieve near-zero downtime, optimize IT resource utilization, and enhance customer experiences. As AI continues to advance, fully autonomous incident management will become the new standard for high-performance, resilient, and future-proof IT operations.
Keywords AI-driven Incident Management, Autonomous IT Operations, AIOps, Machine Learning, Predictive Analytics, Self-Healing IT Systems, Automated Root Cause Analysis, Real-Time Anomaly Detection, AI-Powered Observability, Event Correlation, Reinforcement Learning, Proactive Incident Management, Zero-Downtime
Field Engineering
Published In Volume 15, Issue 3, July-September 2024
Published On 2024-07-11
Cite This Future of AI in Incident Management: Towards Autonomous IT Operations - Lakshmi Narasimha Rohith Samudrala - IJSAT Volume 15, Issue 3, July-September 2024. DOI 10.71097/IJSAT.v15.i3.2840
DOI https://doi.org/10.71097/IJSAT.v15.i3.2840
Short DOI https://doi.org/g899gd
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