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.  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.   Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw  Follow 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/