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

DataOps and Data Version Control  MLOps.community meetup #19 with the Founder and creator of DVC.org Dmitry Petrov. Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletter⁠Data 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.  Join our Slack community: https://go.mlops.community/slackFollow us on Twitter: @mlopscommunity Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g  Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with Dmitry on LinkedIn: https://www.linkedin.com/in/dmitryleopetrov/