In a large enterprise environment, a single application outage can generate hundreds of alerts from different infrastructure components.
How should AI determine which alert is the actual root cause?
- How should CMDB relationships and Service Mapping topology be used?
- How should duplicate or correlated alerts be handled?
- How should AI distinguish between a symptom and the underlying cause?
- How should confidence or uncertainty be handled when the available data is incomplete?
What architecture would you recommend for implementing AI-driven root cause analysis in ServiceNow ITOM?
