AI-Powered Fiber Observability

• Explore how Distributed Acoustic Sensing (DAS) using standard optical fibers delivers real-time visibility into network health and environmental activity
• Demonstrating DAS applications for proactive monitoring, fiber cut prevention, and critical infrastructure protection
• Examining advancements in signal processing and the use of ML/AI to analyze sensing data for access and metro network monitoring
• Field trial results and evaluating the integration of DAS into existing fiber networks for scalable, real-world deployment

Technical paper presentation.

• Examining the advantages and disadvantages of FTTH networks’ passive optical distribution network (ODN)
• Leveraging real-time telemetry from active equipment at both ends of the ODN to create a comprehensive database for analysis by AI/ML within an autonomous network.
• Demonstrating how improved observability significantly reduces mean time to repair (MTTR) and increases first-time fix rates
• Enhancing operational efficiency and service performance of FTTH through intelligent automation