Designing an ML platform for governance
ML technology systems are critical in the overall operations of ML governance processes and activities. First, these technology systems need to be designed and built to meet the internal and external policies and guidelines themselves. Second, technology can help with simplifying and automating ML governance activities. The following diagram shows the various ML governance touchpoints in an enterprise ML platform:
Figure 11.1 – ML platform and ML governance
When an ML platform is built with ML governance in mind, it can capture and supply information to help with the three lines of defense and let you streamline the model risk management workflows. The types of tools that are used for ML governance include online data stores, workflow applications, document sharing systems, and model inventory databases. Now, let's take a closer look at some of the core ML governance components and where an ML platform...
