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