I don't trust this buzzword, because I've seen it recently my industry (space). An industry where there are very good thermal, mechanical, kinematic, electrical

I don't trust this buzzword, because I've seen it recently my industry (space). An industry where there are very good thermal, mechanical, kinematic, electrical(I could go on) models, all correlated to real-life testing, and usually an entire spacecraft simulator is available and used for operator training. There is complete traceability to every critical component. And even in this industry, in which a product has many correlated models made by different engineering disciplines and through a paperwork trail can identify the root cause of almost any issue, and then have the issue reproduced in the relevant model or a simulator "digital twin" doesn't mean "find a way to take all the available model outputs, test data, etc and predict a a failure mode". People have been working on doing this for decades. It ignores all of these available inputs and says "use AI and stuff to make a digital twin".