Explore the latest advancements in MLflow for productionizing machine learning applications in this keynote presentation from the Data + AI Summit EU 2020. Dive into new features including the Model Registry for model management and review, APIs for automated CI/CD, model schemas to detect data format discrepancies, and integration with model explainability tools. Learn about the challenges of deploying ML applications and how MLOps practices and ML platforms address these issues. Witness a demo on CI/CD and MLOps with MLflow, and gain insights into the PyTorch integration with MLflow for seamless transition from research to production. Discover how these tools and practices can help manage complex ML applications, catch potential failures, and streamline the productionization process.