The document defines AIOps as the integration of artificial intelligence and machine learning with IT operations to automate decision-making, reduce noise, and improve system performance. It explains how AIOps collects and contextualizes large volumes of data to detect anomalies, predict issues, and execute automated responses for self-healing. By observing, engaging, and automating processes, AIOps enables faster problem resolution, proactive remediation, and enhanced collaboration. The paper emphasizes its importance for managing complex, hybrid environments and supporting data-driven decisions that optimize efficiency, security, and cost for modern organizations.

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