Avoid ML Failures by Asking the Right Questions

It’s well known that a significant reason machine learning projects fail to deliver business value is data scientists’ failure to adequately understand the business context. Development teams can avoid mistakes when they put aside any reticence to ask basic questions and engage with colleagues on the business side. The authors advise gaining input from all involved stakeholders and suggest some specific types of queries that might help ML developers get to the heart of the problem at hand.