The document discusses serverless data science and how deploying data science models as REST API endpoints can be time consuming and costly. It introduces QBit as a serverless platform for deploying R packages and functions as REST APIs to address the deployment bottleneck in data science workflows. Examples are provided of using QBit to deploy an R portfolio optimization strategy as a REST endpoint to be used within a web application.