As telecom operators expand their use of AI across operations, many are now exploring agentic AI to orchestrate and automate increasingly complex, real-time operational and network environments. However, the biggest barrier is often not the AI models themselves, but the underlying data foundation.
Data silos, limited contextualisation and poor accessibility to real-time data are just some of the challenges constraining the deployment of more advanced AI-driven and autonomous operations.
In this webinar we will cover:
- Why data is a key constraint on AI-driven operations
- What “AI-ready” and “agentic-ready” data environments look like
- The role of real-time data, context and interoperability in AI
- The biggest challenges operators face in modernising their data foundation
- Practical approaches to improving AI readiness and accelerating automation initiatives
