AIOps applies AI to automate IT operations, enhancing service levels, reducing costs, and mitigating risks in complex environments. HPE’s approach uses ML-driven anomaly detection and predictive analytics, supported by the Kraken Mare data platform, which can process millions of messages per second. In HPC case studies, AIOps improved uptime, efficiency, and sustainability. The HPE blueprint covers data ingestion, preprocessing, model training, deployment, visualization, and integration. A staged roadmap aligns use cases with business goals, breaking data silos and enabling real-time, automated insights across diverse IT domains.

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