Agentic AI enables self-learning, autonomous IT systems that make real-time decisions and resolve issues proactively. Unlike traditional automation, it learns from historical data, adapts to new patterns, and acts with independent decision-making. It predicts failures, performs instant remediation, and minimizes downtime, boosting efficiency and resilience. Agentic AI requires high-quality, integrated data and careful governance to balance autonomy with control and ensure security. By deploying agentic AI, organizations can shift from reactive troubleshooting to proactive operations, improving scalability and user experiences.

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