Intelligent automation in IT systems represents the integration of advanced technologies such as artificial intelligence, machine learning, robotic process automation (RPA), and cognitive computing to enhance operational efficiency and decision-making. It enables organizations to automate repetitive tasks, optimize workflows, and improve service delivery with minimal human intervention. This study explores the role of intelligent automation in modern IT environments, focusing on its ability to streamline IT operations, reduce costs, and improve system reliability. It examines key components such as automated incident management, predictive maintenance, intelligent monitoring, and self-healing systems. The study also highlights the integration of AI-driven analytics to enhance automation capabilities and enable real-time decision-making. Furthermore, it discusses major challenges such as implementation complexity, integration with legacy systems, security concerns, and workforce adaptation. Emerging trends such as autonomous IT operations (AIOps), hyperautomation, and AI-driven orchestration are also analyzed. The findings indicate that intelligent automation significantly enhances efficiency, scalability, and resilience in modern IT systems.
Neha Gupta (Sun,) studied this question.
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