Take your machine learning models to production with new MLOps capabilities

This blog post was authored by Jordan Edwards, Senior Program Manager, Microsoft Azure. At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle. Azure Machine Learning service's MLOps capabilities provide customers with asset management and orchestration services, enabling effective ML lifecycle management. With this announcement, Azure is reaffirming its commitment to help customers safely bring their machine learning models to production and solve their business's key problems faster and more accurately than ever before.