DataOps and Data version Control

MLOps.community meetup #19 with the Founder and creator of DVC.org Dmitry Petrov.

Data versioning and data management are core components of MLOps and any end-to-end AI platform. What challenges are related to data versioning and how to overcome these? What are the benefits of using Git and data codification as a foundation of data versioning? And how open data versioning tools can enable an open MLOps ecosystem instead of closed end-to-end ML platforms.

DVC and other tools:
Basic modeling scenarios Automation of modeling Model deployments: to server or docker.
DVC as a model registry.
CI/CD for ML

Dmitry is a creator of open-source tool Data Version Control - DVC.org - or Git for data. He is a former data scientist at Microsoft with Ph.D. in Computer Science. Now Dmitry is working on tools for machine learning and data versioning as a Co-Founder and CEO of Iterative.AI in San Francisco, CA.

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Connect with Dmitry on LinkedIn: https://www.linkedin.com/in/dmitryleopetrov/

MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov 01:02:10 Share

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MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov