This text discusses a method for deploying machine learning models using Modelbit, a tool that allows data scientists to deploy their models directly from their data platforms. The author demonstrates how to create a simple classification model in Hex and then deploy it to Modelbit for making predictions on unseen data. They also showcase the integration of this deployed model with Snowflake, allowing for easy batch predictions using SQL commands.