Building knowledge planes to scale autonomous networks

Reaching Level 4 autonomy requires communications service providers (CSPs) to undertake a deep architectural shift, from managing data and processes to managing knowledge – context and insight created from data. Knowledge planes are key to enabling this.

The knowledge plane introduces a structured, semantically rich layer that transforms fragmented data into contextualized, reusable knowledge that AI agents can understand, reason over and act upon. It enables intent-driven operations, cross-domain coordination, and explainable decision-making – capabilities that are essential for safe and scalable autonomy.

Without a knowledge plane, CSPs will struggle to move beyond fragmented automation and pilot-stage AI initiatives. With it, they can establish the foundation for true end-to-end autonomous networks.

Read this report to understand:

• The place of the knowledge plane in the journey to Level 4 autonomy
• The context and drivers behind the need for a knowledge plane
• The key steps required to build a knowledge plane
• The major challenges CSPs must overcome to implement a knowledge plane successfully.