Azure Machine Learning Enterprise Security Promises and Best Practices


Join us for this session if you experiment with machine learning, or require operationalizing machine learning workloads in an enterprise environment, and require a secure platform to rely on to be productive and compliant. Azure Machine Learning offers a wide range of features to meet the enterprise promises such as network security, identity and access management, encryption and data security. We will give an overview of what is available, and share learnings and recommendations on how to operationalize Azure Machine Learning to enable numerous users, workloads and teams at scale.


Dennis Eikelenboom is a program manager on the Azure Machine Learning team, with Enterprise Readiness as his area of focus. Before joining the ML Platform product team, Dennis worked in Microsoft's consulting organization where he collaborated with data science and machine learning engineering teams across a wide range of industries to operationalize their solutions on the Azure Data and AI platform.

Open Data Science




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