I like the point you raised about meeting milestones, how it can't be a 1 year project without intermediate assessment. The academic nature of projects needs to be out of the product development environment, where proper development is possible. Your article suggests that data scientists need to be ready with that choice, since so many businesses are exploring ML processes and have a bevy of frameworks to choose from now. Great post!