From Sensor to Value: A journey
summary
Sensors arrive noisy, irregular and gap-filled; the work is turning that into usable assets: hourly smoothing and regularization, gap-filling and extrapolation, and event-sequence correlation across devices. Examples are facilities-focused: occupancy and toilet-use fused with weather and staffing counts, models that predict battery failure and maintenance needs, and anomaly detection that flags outages. Data gets access control and audit trails so aggregated, anonymized models and datasets can be shared or monetized as a data asset market.
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chapters (8)
- 0:00Intro
- 0:15Sensor Data
- 3:18The Technical Journey
- 6:15Normalisation
- 10:24Actual vs. Very Simple Model
- 10:58Data sharing : Trust
- 13:21Other Opportunities
- 14:56Wrapping Up
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