Building knowledge planes to scale autonomous networks
Knowledge planes have a key role to play in helping operators move to Level 4 autonomous networks. Find out how in our new report.
Download Report
By submitting this form, you acknowledge that your contact information, including email address, will be shared with the sponsor, and consent to TM Forum contacting you by phone or email to fulfill your request and to inform you about appropriate products or services.
Sponsored by:
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.
