Edge Analytics
The analysis of data at the edge of the network, near the source of data generation, reducing latency and bandwidth usage.
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.
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.
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What problem does Enzai solve?
Enzai provides enterprise-grade infrastructure to manage AI risk and compliance. It creates a centralized system of record where AI systems, models, datasets, and governance decisions are documented, assessed, and auditable.
Who is Enzai built for?
How is Enzai different from other governance tools?
Can we start if we have no existing AI governance process?
Does AI governance slow down innovation?
How does Enzai stay aligned with evolving AI regulations?
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Empower your organization to adopt, govern, and monitor AI with enterprise-grade confidence. Built for regulated organizations operating at scale.