Hi Community,
I am exploring a hypothesis around predicting and structuring an organization’s CSDM model (Business Applications, Business Services, Application Services, Technical Services, etc.) using AI.
I understand that CSDM alignment is not fully discoverable or automated today. However, my goal is to:
Use AI/ML to analyze existing data patterns
Automatically suggest CSDM aligned relationships and classifications
Keep human involvement limited to validation and refinement of the generated model
I would love to get insights on if anyone has tried it or can help in thought process..
Which ServiceNow tables/data sources would be most valuable for training or pattern detection?
(e.g., CMDB tables, Discovery data, Service Mapping, Incident/Change history, APM, etc.)
Are there recommended internal data source(relationships, CI attributes, tags, naming patterns, dependency maps) that could help infer:
Business Application <->Business Service mapping
Application Service <-> Technical Service hierarchy
Service ownership and lifecycle context
