Hardware reliability, deterministic control, data quality and model evaluation determine whether AI can work in the field over time. Strategies and critical actions remain versioned, constrained and recorded.
Power, isolation, I/O, communications, watchdogs and local storage are engineered for site reliability first.
Different devices become unified models while rules and state machines keep critical actions deterministic.
Start with explainable diagnosis and forecasting, then move into constrained strategy optimization.
Data quality, labels, versions and human feedback determine whether AI keeps creating value.
Start with the device list, point list and acceptance criteria for a clearly bounded pilot.
Start a pilot