Act before failure — without paying for premature, unnecessary maintenance.
Use trends, models, and data to forecast failure or intervention timing.
To act before failure while avoiding premature, unnecessary maintenance.
When sufficient condition and maintenance data exists to support model training.
PI frames the use case, structures the data, and guides model development and deployment so the analytics actually change behavior in the field.