AIoT needs time-series context before language

Chatting with sensor data requires time-series context.

The model needs timestamps, units, calibration, sampling frequency, missing data, device identity, and domain thresholds. Without that structure, natural language answers can sound confident while ignoring the measurement context.

AIoT starts with reliable telemetry.

Related:

• [AIoT] How to use LangChain to QnA Sensor Data