Self-Healing Networks and Intelligence Architecture

This document is a technical report that outlines the concept of self-healing networks as defined by the TM Forum. It describes the levels of network autonomy, with level 4 representing highly autonomous networks and level 5 indicating fully autonomous networks. The report details the top deployment trends in self-healing networks, emphasizing the use of AI and machine learning for troubleshooting and root cause analysis. It presents five critical steps towards achieving a level 4 self-healing network, including observability, automation, service orchestration, leveraging captured data, and closed-loop resolution. Additionally, the report explains the necessity of intelligence architectures for self-healing networks, which involve nested closed loops and various analytics models. Key components of an intelligence architecture are identified, such as data gathering, model development, knowledge organization, and orchestration capabilities. The document concludes by discussing the business value of implementing an intelligence architecture, focusing on enhancing service delivery and customer experience.