ai in networking

An overview of real-world AI in networking, distilling case studies from telecom, enterprise, and cloud. It shows how ML automates provisioning, optimizes routing/QoS, forecasts demand, and detects anomalies to cut outages and cost. It covers data pipelines, MLOps, and governance, flags risks like drift and privacy, and outlines KPIs, architectures, and next steps.