Platform and Model Design for Responsible AI

4

Privacy Management in Big Data and Model Design Pipelines

This chapter gives a detailed overview of defining and architecting big data and ML pipelines in the cloud. You will learn how to apply the defense techniques you learned in Chapter 2 in a scalable, interpretable manner with different use cases and examples. In addition, you will also explore the security principles of the different ML components, microservices, and endpoints. The primary objective of this chapter is to assimilate the knowledge gained in previous chapters and apply it more broadly to proactively build a solid foundation of risk mitigation strategies. By doing this, you will not only be prepared to handle defense at all levels but also equipped to monitor and identify ...