How to build enterprise ready ML: Privacy and security best practices, in the cloud and on the edge
Data privacy and security are top of mind for almost every enterprise in the world. But creating machine learning in a manner that is secure and privacy-aware presents specific challenges. Learn how to build and deploy secure, protected and scalable machine learning using Azure Machine Learning. Whether you are targeting the cloud or the edge, this session will help you understand how to apply multi-factor authentication, role-based authorization, data encryption, VNETs, and other security and privacy best practices to the machine learning lifecycle.