TNO076: Observability and Automation for AI Networking

As AI data centers scale to thousands or tens of thousands of GPUs, network observability and automation become critical to protecting performance, availability, and ultimately the return on AI infrastructure investments. The strategic implication for CIOs is that traditional monitoring and manual operations will not be sufficient: IT organizations need high-frequency telemetry, lossless networking controls, and automated remediation to spot elephant flows and performance degradations before they affect AI workloads.