ML Governance and the Google Cloud Architecture Framework
As technologists, we often, of course, find the technological aspects of machine learning (ML) to be the most fun and exciting parts, while legal and regulatory concepts don’t always inspire us quite as much. However, these concepts are required to build robust solutions at scale in production. They are what help us make the transition from hobbyist activities to designing reliable systems that can be vital to a company’s success or even affect millions of people’s lives.
With that in mind, this chapter will cover the following subjects:
- ML governance
- An overview of the Google Cloud Architecture Framework
- Architecture Framework concepts about AI/ML workloads on Google Cloud
Let’s go ahead and dive right into our first topic.
