What Is Data Version Control & Continuous Machine Learning | Dmitry Petrov

Based in San Francisco, is the company behind the development of DVC and CML, open-source tools to streamline the workflow of data scientists. integrates ML workflows into current practices for software development instead of creating separate AI platforms. Dmitry Petrov, Co-Founder and CEO, , joined us to talk about the company and Data Version Control (DVC) and Continuous Machine Learning (CML) Topics we covered in this interview include: • Introduction to Iterative, the company • Why is Open Source a better approach for AI/ML? • What is Data Version Control (DVC) and Continuous Machine Learning (CML)? • Who should care about DVC and CML? • How does it stack against proprietary AI Platforms such as AWS SageMaker and Microsoft Azure ML Engineer?