I think it's a problem of visibility up the management ladder. (A) If management understands ML enough to launch a feasible project, (B) if management understan

I think it's a problem of visibility up the management ladder. (A) If management understands ML enough to launch a feasible project, (B) if management understands that models are a component of ML, (C) if management understands models are created from data, (D) if management understands that production models must continually be fed data. Typically, understanding seems to stop somewhere between A & B.