Look at what it takes to build, integrate, deploy, and run Machine Learning workloads while managing risk, addressing governance, iterating on improvements, and explaining AI decisions in an Enterprise setting. 

This talk looks at patterns on running AI workloads on varied platforms and industries including edge, IoT, on-prem, and in the cloud. And also covers securing, monitoring, and the infrastructure options.