Glossary
Updated
Extends Edge AI by performing not only inference but also real-time analytics (aggregations, threshold detections, simple visualizations) on devices or local gateways. Governance considerations include ensuring analytics code integrity, timely model updates, and secure transmission of aggregated results to central monitoring systems.
Example
A smart-city deployment uses edge analytics on traffic sensors to compute vehicle counts per 5-minute intervals and only sends aggregated traffic stats to the central dashboard, reducing data load by 95% and providing city planners with near-instant congestion insights.