Serverless Machine Learning with R on Cloud Run - KDnuggets

One of the main challenges that every data scientist face is model deployment. Unless you are one of the lucky few who has loads of data engineers to help you deploy a model, it's really an issue in enterprise projects. I am not even implying that the model needs to be production ready but even a seemingly basic issue of making the model and insights accessible to business users is more of a hassle then it needs to be. These are two ends of the spectrum. Ad-hoc runs are just too tedious and clients typically demand for some self-serve interface but good luck trying to get a permanent server to host your code.