Manufacturing AI — What Factory Data Demands of Models
The difficulty of manufacturing AI lies not in the model, but in the nature of the data. Factory signals have almost no labels, their distributions change with operating conditions, and a missing value means something different from a zero value. The cost of a wrong answer is also asymmetric—a single missed failure and a hundred false alarms damage a factory in different ways.
Digital Thread — The «Same Name» Across Systems
A digital thread is not about collecting data in one place. It enables distributed systems to refer to the same objects by the same names and trace the relationships and history of those objects. Simply collecting data creates a data swamp. When names remain connected, the data forms a thread even when it is distributed.