[sourabh03agr]

Thanks for the question! Our initial focus is more on how to find the most relevant data-points from the hundred gigabytes of data to retrain the model on. Our current data management strategy is pretty primitive, either local files or we connect back to your data warehouse for persistence.

Soon, we plan to add data management features too but primarily on the production side so that data scientists can safely and securely version the data which their AI application came across in production as well as use it to refine their model (if allowed)