Predictive IT Maintenance, Machine learning algorithms can analyse the past incident data and predict and resolve potential future incidents., Anomaly/Threat detection, AIOps leverages complex algorithms to detect botnets, scripts, and other threats in real-time, even those which are multi-vectored and layered, ensuring reduced network downtime and continuity in business service, Root cause analysis, AIOps tools can not only detect anomalies but also investigate the root cause of issues and develop relationships among abnormal incidents., Event Correlation and Noise Reduction, AI facilitates temporal association detection, discovering co-related logs, and combining events into a small number of logical groups., Intelligent escalation, After root-cause analysis is complete and issues are captured, AIOps tools route such incidents to the relevant human experts for swift remediation., Capacity Planning, AIOps enables organizations to purchase additional capacity and reserve instances to cope up with the demand in advance, leading to large cost savings.
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6 Major AI use cases in IT Operations
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