Artificial Intelligence for ITOps (AIOps) can help accelerate incident response with all the incident context, impact assessment, triage data, and collaboration and automation tools in one place. More specifically, AIOps can help automate root causing analysis, enrich the incident with full-stack for impact analysis, present incident relevant Observability data (metrics, logs, and traces) in a single pane triage dashboard, and provide built-in diagnostic commands and workflow or runbook automation leveraging integrations with RPA tools.
AIOps: What Is Incident Response?
It is a standard practice in IT organizations to capture IT operational problems or issues as incidents in an IT Service Management (ITSM) system like ServiceNow, BMC Remedy, PagerDuty, Jira ServiceDesk, etc. A Majority of these incidents are created directly by monitoring tools, or when fed through an AIOps platform for event correlation and alert noise reduction. IT users and stakeholders (like LoB users, managed service customers, etc.) can also report IT problems (via phone or portal), which get recorded as Incidents in the ITSM system.