The Importance of Regular People in Data Science Projects

No data scientist can have a deep understanding of the problem unless they're working with regular people. They certainly can't implement anything unless they're got the buy in of regular people. And that's part on because that's one of the most likely hoods of failure for data science projects when they don't have the context and the involvement of the business side, he says.