ETSI has released a Technical Report detailing the application of machine learning and other AI algorithms for autonomic network management and control. Published on March 5, 2020, the document outlines frameworks for self-organizing networks that can dynamically adapt to changing conditions without human intervention. The report emphasizes the need for standardized approaches to ensure interoperability and reliability as networks become increasingly complex and automated. This work supports the broader goal of enabling resilient, agile, and sustainable ICT infrastructure through advanced automation techniques.
Keywords: autonomic network management, machine learning, AI-driven systems, interoperability, sustainable infrastructure