ML Ops with Spark, MLflow and Azure

ML Ops has become a core topic in data science today. It is the practice for collaboration and communication between data scientists and operations professionals to help managing ML lifecycles in production.

Come learn about the principles of ML Ops through people, process, and technology focused on Spark and ML Flow. We also have a special guest from Slalom who will cover a real-time NLP model case study with Azure Databricks, and how best to setup ML Ops pipelines for end-to-end model lifecycle management.