Machine Learning - Is There a One Size Fits All Solution?

When it comes to using data for your machine learning, really like data is at the center of your application in many ways. There are so many regulatory restrictions around how you use it or there's governance around what you can use and cannot use. How do you go about approaching those limitations or rather regulations that you really have to follow legally? "I don't think there's a one size fits all solution"