Deep Learning brings with it enormous amounts of data, complicated experiment results and intense compute requirements. Decades of experience in moving code to production yielded best practices in engineering that have not yet found their place in deep learning teams. Over the past few years, the term “DevOps” has become an industry standard but where are the DeepOps best practices for AI First companies? In this talk, we’ll cover why most AI companies fail when it comes to reproducible training, data management, and deploying to production.