Are there good reasons not to deploy Machine Learning models?
It's been reported that as much as 80-90% of machine learning models that are meant to be deployed never get there. Is it more intentional or just a problem with the fragmented nature of the AI industry?
Not every use case requires deployment, sometimes you just save your results to a file/database, and/or you write a report/paper/presentation etc.