The European Telecommunications Standards Institute (ETSI) has created a group that will define an AI-based architecture for automated network management.
The Industry Specification Group “Experiential Network Intelligence” (ISG ENI) will include AI techniques and context-aware policies as part of its modelling.
The group said it hoped to create a system that would learn from its operations and the decisions operators make, ultimately reducing operational expenditure and improving the use and maintenance of networks.
As well as supporting intelligent service operation, the group’s areas of focus include what an operator will require in terms of experience across legacy and virtualised networks, including 5G.
It will look at network telemetry, big data mechanisms for gathering the necessary data, machine learning and functionality to simplify and scale complex device configuration and monitoring.
Ray Forbes, Convenor of ETSI ISG ENI said: “The unique added value of the ETSI ISG ENI approach is to define new metrics to quantify the operator’s experience; this enables the optimisation and adjustment of the operator’s experience over time, taking advantage of machine learning and reasoning.”
Automation is emerging as a key area for telcos as they seek to reduce the costs and improve the quality of customer experience.
This week, NEC unveiled new technology that uses AI to analyse network data from a range of input sources, including equipment logs, measurement probes, user data and Deep Packet Inspection (DPI) equipment.
Read more: The advent of AI and machine learning