A consistent and robust MLOps lifecycle for insights into travel behaviour

A segmentation model based on travel behaviour gives GVB more insight into how passengers move around. This helps GVB offer suitable travel products, for example. The model needs to stay up to date as travel patterns change over the years. It also needs to be implemented robustly to meet GVB’s data architecture standards. 

We established a consistent and robust MLOps lifecycle so the segmentation model can be deployed and maintained effectively in production. We also set up an MLOps workflow in Databricks, with several reusable templates.