AIOps stands for “Artificial Intelligence for IT Operations” and revolutionizes IT operations management by integrating various manual tools into one intelligent platform. This enables IT teams to react proactively to performance drops and operational interruptions.
The use of big data analytics, machine learning and other AI technologies in AIOps automates the identification and resolution of common IT problems in complex environments. AIOps streamline and automate active workflows. The platform captures, aggregates and analyzes massive amounts of data, filters relevant signals from noise and enables root cause diagnostics for rapid response and remediation. The AIOps platform should enable organizations to automate routines, quickly identify serious issues and improve interactions between teams. It addresses the increasing demands of IT operations management in complex network environments through data collection, analysis, root cause analysis and automated remediation.
AIOps is used in DevOps, cloud computing and large enterprises. Examples of use cases include hybrid cloud risk remediation, process automation, anomaly detection, performance monitoring, customer needs understanding and threat detection.
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