Edge AI~5 min read
Model cards for edge ML: inputs, drift sensors, and known failure modes
Give operators enough context to trust—or override—local inference.
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Practical notes from AIoT field work and internal pilots.
Prefer measurable KPIs (latency, uptime, alert noise) before scaling a pattern.
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