Scaling responsible MLOps with Azure Machine Learning | BRK21

When MLOps and responsible AI (RAI) are fully operationalized, organizations can build trusted ML solutions, increase the rate of experimentation, and accelerate time to market. With new capabilities integrated into Azure Machine Learning (AzureML), you’ll be able to apply RAI throughout the ML lifecycle using the new RAI dashboard and scorecard to improve fairness, explainability, and model performance. You’ll also learn how to simplify ML workflows with AzureML’s latest productivity capabilities. Additional Resource: Microsoft Learn for Azure -- Latest News: Gain agility with an integrated data platform -- Recommended Next Step: Get more detailed content on this topic with a curated Session Resource Page -- Microsoft Build 2022