Real-Time Telemetry at Scale: The Edge AI Competitive Advantage | Intel Business

Опубликовано 22 мая 2026, 16:37

Most organizations deploying AI at the edge are flying blind. They've done the demos, selected the hardware, and launched the rollout ,but they have no idea how their devices are actually behaving in the real world. That gap between assumption and reality is where edge AI investments quietly fail.

Filmed at Embedded World 2026, Intel sits down with Chris Round from Lakeside Software for a conversation that gets into the unsexy but absolutely essential side of edge AI: observability. With 10,000 telemetry data points collected every 15 seconds per device, Lakeside gives enterprises the visibility to make smarter decisions before, during, and long after deployment. Chris shares why both over-provisioning and under-provisioning are equally dangerous, and how the right data at the right time can prevent costly truck rolls and wasted TCO.

The conversation closes with a forward-looking vision that's genuinely exciting. A future where telemetry is crowd-sourced across organizations, letting companies learn from each other's successes at scale rather than solving the same problems alone.

If you're responsible for deploying or managing edge AI at any meaningful scale, this conversation will make you rethink how much you can actually see.

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Real-Time Telemetry at Scale: The Edge AI Competitive Advantage | Intel Business
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