Performing advanced analytics using machine learning

A key component of AIOps, machine learning and analytics enable you to fix issues based on priority and impact, enabling you to reduce MTTR.

Set up data collection before performing advanced analytics. You can identify correlated metric data, cluster event data, and view abnormalities generated using auto-baselining.

Helpful resources

Reduce MTTR: Machine learning to the rescue Open link

What is AIOps? AIOps Explained Open link

Integrating Service Tickets to Elevate IT Operations Open link

Select any metric and have TrueSight Intelligence compute and display a list of metrics that are correlated to your metric.

Clustering event data for advanced analysis

Automatically create event clusters using advanced data analytics methods such as text analytics using bigrams, and latent Dirichlet allocation (LDA).
TrueSight Intelligence uses metric data to establish a baseline, which indicates a normal range for the measurements. A deviation from this baselines causes the system to automatically generate events that are available from the Events menu.

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