Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore how artificial intelligence and large language models revolutionize network troubleshooting and observability in this 12-minute conference talk. Learn to transform overwhelming telemetry data into clear, actionable insights that accelerate fault isolation and reduce diagnostic errors. Discover how AI-powered storytelling can replace manual graph analysis and guesswork with intelligent data interpretation, enabling you to ask "What's wrong here?" and receive contextual answers during critical network incidents. Examine practical applications of machine learning in network operations, focusing on how intelligent agents can improve mean time to identify (MTTI) and mean time to resolve (MTTR) metrics. Understand the shift from traditional data presentation dashboards to AI-augmented systems that provide explainable insights from large-scale network and application telemetry, ultimately reshaping digital operations through enhanced observability and reduced operational fatigue.
