AI is the last thing you should do, but you should do it.

When AI is the last step, you have a more robust final process because, first, you have investigated and improved before you automated the process. The AI model will benefit from the pruning of features as your continuous improvement advances. AI implementation will suffer less from inconsistent input data or “scope creep”. An increased understanding of the “hidden factory” allows you to target better and less risky places to add the “right amount” of AI (more complex and potentially divergent form of computation) in the process after you have already implemented descriptive statistics (think dashboards) and predictive analytics (a form of ML). Setting the BHAG (Big Harry Audacious Goal — Built to last) of implementing AI is the motivation that gives the team all the “rate-of-learning” gains along the way. <a href="https://medium.com/@cdonly/ai-is-the-last-thing-you-should-do-but-you-should-do-it-7e5b143269c2">Website</a>