AI COLLECTIVE MIND
Sensors & time series
Measurements over time can connect machines, environments and operational conditions. We explore how the sampling process, units and context affect a source’s usefulness before treating the number of readings as a measure of quality.
What could this include?
- Equipment and environmental sensor streams
- Historical observations with regular or irregular sampling
- Authorised device measurements and sanitised system events
Potential uses to explore
- Explore forecasting, change detection and anomaly research
- Assess generalisation across instruments or operating settings
- Study relationships between measurements and documented events
Preparing a useful source
Time alignment and collection provenance are essential topics in scoping. We would discuss whether a sample can represent the actual range of conditions. Prospective live feeds, APIs and database connections require a separate authorised technical project.