Ryan Andrew

Commercial context For years, bringing computing power nearer to the user has been seen as a way to improve everyday digital experiences. Yet many CSPs still struggle to meet the demand for intelligent services and quick decisions at the edge. AI workloads continue to rise, data volumes grow, and many applications now need a response in the moment. Still, most networks rely on centralized platforms far from subscribers. This adds delay, increases cost, and limits the value operators can deliver.

Commercial context Modern networks depend on a vast chain of operational systems that have grown in complexity over many years. Every layer generates its own telemetry, topology, and service data. Each uses different formats, standards, and interfaces. As a result, CSPs can struggle to maintain a single, reliable view of what is happening across the network. Faults that span domains remain difficult to detect, and incidents that cross CSP boundaries are even harder to diagnose.

Commercial context Telecom networks have undergone a fundamental shift over the past decade. The industry has moved from a network-centric approach to an experience-led approach, driven by user expectations rising from simple availability to an expectation of zero defects. In pursuing this aim, CSPs struggle with three core limitations: limited end-to-end user experience assurance, the absence of proactive fault prevention, and insufficient automation across domains.