Journey to a Self-Healing Network with AI and ML

This technical report presents an analysis of the development of an intelligence architecture aimed at enabling self-healing networks in telecommunications. It outlines the findings from interviews conducted with senior decision-makers in telcos and vendors, focusing on the implementation of machine learning (ML) and generative AI (GenAI) technologies. The report details the transition from basic observability to autonomous network capabilities, emphasizing the importance of data federation, intelligent decision-making, and the deployment of agent systems. Key components of the intelligence architecture include the distribution of intelligence, knowledge management, and the integration of multi-agent systems. The report also discusses the challenges telcos face in achieving higher levels of autonomy and suggests practical steps for building the necessary infrastructure. Recommendations include developing simple agent systems, establishing a data mesh architecture, and creating knowledge graphs to enhance operational efficiency. The report concludes with insights on the future of AI in telco networks and the need for ongoing education and adaptation to technological advancements.