Progress towards greater autonomy in network operations depends on the readiness of operational data to feed AI models and agents. But that is about much more than data lakes. To move isolated pilots to trusted, closed-loop operations, CSPs must first answer fundamental questions about the nature and scope of their data.

In this webinar, Appledore Research will explore the key factors that underpin successful deployment of AI agents to support autonomous networks, and the different data sets and capabilities required. Amdocs will share its experiences and perspectives in establishing the right foundations for autonomous network operations – and closing the data readiness gap for the agentic era.

What you’ll learn:

• The difference between data and agent-ready data
• The distinct data layers required to support autonomous operations
• How to quantify data readiness
• The role of ontology and knowledge graphs
• The importance of governance in building trust in autonomous operations
• Real world perspectives from across multiple CSPs on overcoming the obstacles to data readiness
• The transformation steps required to close the data-readiness gap

Speakers:

• Moderator: Patrick Kelly, Principal Analyst, Appledore Research
• Ron Porter, Head of Product Marketing, Amdocs Networks