About This Session
Organizations are rushing to deploy generative AI and autonomous agents to manage their infrastructure health. But an AI agent cannot guess its way through a broken database.
The Problem: We’re looking under the hood at why AI-driven CMDB initiatives are crashing. The culprit isn’t the LLM algorithms; it’s the structural rot beneath them:
Blindly trusting automated discovery without setting up proper Identification and Reconciliation Engine (IRE) rules, resulting in massive duplicate storms.
Deploying configuration items completely disconnected from Common Service Data Model (CSDM) relationship standards.
Expecting an AI agent to route an infrastructure outage when Change, Support, and Ownership groups are entirely blank or stale on Application Services.
The Takeaway: This session will show you the exact pre-flight checklist an ITOM Architect uses to bulletproof platform data before turning on the AI engine. You’ll walk away with a practical blueprint to transform your CMDB from an AI liability into an autonomous asset.