Edge Computing
Last Updated: July 29, 2026 | By Mihail Sebastian | AI Dictionary
A computing approach that processes data near where it is generated, on devices or local servers, instead of in a distant cloud, cutting latency.
What is Edge Computing?
Edge computing processes data near where it is generated, on the device itself or a nearby server, instead of sending everything to a central cloud. Cutting the round trip matters when milliseconds count: a self-driving car cannot wait on a data center to decide whether to brake.
There is a second effect that matters for governance: data processed locally never leaves the premises, which shrinks what an organization transmits, stores centrally, and must protect.
Types of Edge Computing
- Device edge: Computation runs on the device that produced the data: a phone, camera, or industrial sensor.
- Network edge: Routers, gateways, and base stations process data in transit, before it reaches the cloud.
- Regional edge: Small data centers near the data source handle work too heavy for devices but too latency-sensitive for a remote cloud.
Applications of Edge Computing
- Industrial monitoring: Factory sensors feed local anomaly detection that flags failing equipment in real time, without streaming raw sensor data offsite.
- Smart cities: Traffic cameras analyze footage locally and transmit only counts and alerts rather than continuous video.
- Healthcare devices: Portable monitors run inference on the device itself, so an alarm fires immediately even when connectivity drops.
Example of Edge Computing
An autonomous inspection drone flying a power line has no time to phone home. Its onboard computer runs an object detection model against the live camera feed, spots an obstacle, and reroutes, all inside the flight loop.
When it lands, the drone uploads only its findings: damaged insulators and their coordinates. The heavy model training still happens in the cloud; the edge handles the split-second decisions.
Related AI terms: Internet of Things · Federated Learning · Inference · Deploy · Quantum Computing
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Mihail Sebastian — Writes about AI governance, regulation, and the technology behind them. Placeholder bio — replace with a real credential line. About