Chapter 1: Introduction to Machine Learning Operations (MLOps)

As businesses embrace machine learning across their organizations, manual workflows for building, training, and deploying ML models tend to become bottlenecks to innovation. By combining people, processes, and technology, MLOps is helping companies streamline their end-to-end ML lifecycle and boost productivity of data scientists while maintaining high model accuracy and enhancing security and compliance. In this first video, I introduce what is MLOps; why MLOps is important for businesses; the MLOps maturity journey to move from zero-to-hero; and the average journey of enterprise customers.