Lane 1 - Autonomous Networks (AN levels)

AN effectiveness indicators: Driving value from Autonomous Networks

An effectiveness indicator is a metric that is used to evaluate the performance or effectiveness of a system. It can be used to assess how well the system is achieving its goals or meeting its objectives and can help identify areas for improvement. Effectiveness indicators can be quantitative or qualitative and may be based on a variety of data sources, including observations, measurements, and feedback from users or stakeholders. Some examples of effectiveness indicators might include measures of efficiency (self-X capabilities), accuracy, reliability, safety, and usability/experience (zero-X experiences). Efficiency and experience are the key AN effectiveness indicators.

The primary objective of the sessions in this Lane is to workshop a new approach to effectiveness indicators, revisit the zero-x categorization and discover more concrete KPIs that will feed into the metrics for the various level indicators.


  • Produce a set of clear KPIs that enable CSPs to measure the effectiveness of their Autonomous Network deployments.
should attend?

These sessions are for anyone involved in the following member projects:

  • Autonomous networks
  • AI closed loop automation
  • AI operations