MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov
Episode description
DataOps and Data Version Control
MLOps.community meetup #19 with the Founder and creator of DVC.org Dmitry Petrov.
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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? 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 the open-source tool Data Version Control - DVC.org - or Git for data. He is a former data scientist at Microsoft with a 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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