Any robust ML/AI application should begin with reliable & reproducible data pipelines. Yet, when speaking with practitioners they cite ML pipelines to be one of the biggest infrastructural challenges of an AI project. What are the best practices in building ML pipelines? What does the open source ecosystem offer today? What is your current wishlist when it comes to ML pipelines? All of these questions and more will be discussed in an exciting talk presented by a Microsoft's Head of Open Source ML & co-founder of Kubeflow.