AI promises faster decisions, smarter automation, and more autonomous infrastructure operations. But in complex IT, network, and data center environments, its reliability depends on trusted infrastructure knowledge. This white paper explains why agentic AI requires continuously maintained data and how gaps can create operational risk.

Why you should read the white paper:

• Understand why agentic AI creates new requirements for infrastructure data in complex IT, network, data center, and telecom environments.
• Learn why data lakes and CMDBs alone are not enough to provide the trusted context AI needs.
• Discover how a maintained digital twin becomes the central context layer for reliable AI outputs and automation.
• See how closed-loop infrastructure management helps keep data aligned with real-world infrastructure changes.
• Explore why AI readiness, compliance, risk, and resilience are becoming increasingly connected.
• Find out why this matters for CIOs, CTOs, infrastructure leaders, telecom and IT operations teams, and compliance stakeholders.