Signal Applications needing 10-millisecond responses are placed outside the cloud by definition

Summary

Deloitte identifies latency as one of the factors that determine where AI workloads must run. Real-time AI needs to sit close to its data sources, particularly in manufacturing plants, oil rigs and autonomous systems where network delay rules out timely decisions. Applications that must respond within 10 milliseconds or less cannot tolerate the delay built into cloud-based processing. In the report's three-tier hybrid model, such work belongs at the edge, where local processing handles time-critical decisions with minimal delay. For manufacturing and autonomous systems, it says, split-second responses can decide whether an operation succeeds or fails. The same logic links to resilience, since mission-critical tasks also need on-site infrastructure in case the cloud connection is lost.