Taking MLOps 0-60: How to Version Control, Unify Data and Manage Code Lifecycles

Discover how to operationalize machine learning technology through MLOps in this insightful conference talk. Explore the complexities of managing both code and data lifecycles in ML systems, and learn how to embrace change without compromising reliability. Delve into the fundamentals of MLOps and its importance for organizations leveraging AI. Gain valuable insights from Jimmy Whitaker, Chief Scientist of AI at Pachyderm, as he shares best practices for creating a great data science experience. Understand how Pachyderm's platform provides a foundation for unifying code and data lifecycles, enabling effective version control and management. Learn strategies for adapting to the ever-changing world of machine learning models and data-driven insights.

Taking MLOps 0-60: How to Version Control, Unify Data and Manage Code Lifecycles