Comment by howlin

| it doesn't understand the data it has and doesn't have individuals who have the competencies to hire analysts to help them;

Yeah, this is common and often explains why ML projects fail. ML won't magically understand data for you. And if you don't understand the data you are feeding into your ML pipeline, you will almost certainly have a garbage-in-garbage-out situation on your hands.