Data Version Control Blog

Insights and updates from the DVC team. Explore best practices in data versioning, machine learning workflows, and model management. Stay informed with our latest news, tutorials, and community highlights.

Bast AI Use Case: Using DVC as a Data Registry for Explainable, Offline-Ready AI

How Bast AI uses DVC as a data registry for unstructured AI pipelines—versioning PDFs, page images, ontologies, and retrieval context to build an explainable, offline-ready medical assistant with full provenance and auditability.

Jeny De Figueiredo

February 11, 2026

7 minutes read

A Shared Vision for the Future of DVC

Dmitry Petrov

November 18, 2025

4 minutes read

DVC Joins lakeFS: Your Questions Answered!

Jeny De Figueiredo

November 18, 2025

5 minutes read

Transforming a Jupyter Notebook into a Reproducible Pipeline for Experiments with DVC

Rob De Wit shares his Pokémon Generator project to demonstrate how you can move from a Jupyter Notebook prototype to a production-ready pipeline with DVC.

Rob de Wit

October 30, 2025

8 minutes read

Community Spotlight: Akash Mane – How to Label and Rotate Training and Feedback Datasets Cleanly

Raise your labeling standards with this great guide from Community member, Akash Mane!

Akash Mane

October 7, 2025

28 minutes read

Tutorial: Scalable and Distributed ML Workflows with DVC and Ray on AWS (Part 2)

Need to setup DVC to work with Ray Cluster on AWS? This tutorial has you covered!

Mikhail Rozhkov

March 13, 2024

19 minutes read

Tutorial: Scalable and Distributed ML Workflows with DVC and Ray (Part 1)

This tutorial introduces you to integrating DVC (Data Version Control) with Ray, turning them into your go-to toolkit for creating automated, scalable, and distributed ML pipelines.

Mikhail Rozhkov

March 12, 2024

20 minutes read