Splunk ITSI: Service-Centric AIOps & Predictive Health Scores

Splunk IT Service Intelligence layers AI/ML over Splunk data to create service health models, anomaly detection, and outage prediction.

Core Features

• KPI Aggregation & Health Scores: Unified service state indicators.
• Adaptive Anomaly Detection: Time-series behavioral baselines.
• Event Correlation: Alert clustering into actionable episodes.
• Predictive Analytics: Forecast impending service degradations.

Use Cases

• NOC consolidation of disparate infrastructure & app signals.
• Prioritization of incidents by business service impact.
• Reducing noisy raw alert streams into managed episodes.

Integrations

• Built on Splunk logs/metrics; hooks to ITSM & on-call tools.
• Glass table visualizations for executive & ops views.

Adoption Indicators

• Widely used among large log-centric enterprises (finance, telecom).
• High noise-reduction case studies (90%+ reductions reported).

Best For

• Organizations already invested in Splunk ecosystem.
• Ops teams shifting to service-level observability.

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