SignalRashin

Decision models remove training, not production ML Engineering: A reusable decision model can remove task-specific training from the critical path. It cannot remove task specification, representative evidence, calibration, selective automation, replay, monitoring, or change control. What actually changes in the ML lifecycle — and what does not.

- A reusable decision model can remove task-specific training from the critical path. It cannot remove task specification, representative evidence, calibration, selective automation, replay, monitoring, or change control. What actually changes in the ML lifecycle — and what does not.