Cloud-centralized computing doesn't work for every use case. Edge computing brings processing closer to data sources for latency-sensitive and bandwidth-constrained scenarios.
Cloud computing centralized processing for good reasons: economies of scale, operational simplicity, and the ability to run sophisticated workloads with minimal infrastructure investment. But centralization has limits. When data volumes are enormous, network bandwidth is constrained, latency requirements are strict, or data must not leave specific geographic boundaries, edge computing offers a compelling alternative.