Sustainable Model Life Cycle Management, Feature Stores, and Model Calibration
The primary objective of this chapter is to provide you with sustainability-related best practices that should be followed during the model development process. This aligns with the previous chapter, where we discussed organizational goals related to sustainable AI. Our aim is to encourage people across different levels of an organizational hierarchy to restructure the organizational roadmap and build trustworthy AI solutions. You will get an understanding of the importance of all aspects of AI ethics and the best practices that need to be followed. We will illustrate how to incorporate privacy, security, and sustainability in a feature store example.
In this chapter, you will learn how to improve model probability estimates to yield more accurate outcomes. We will look at adaptable systems in the context of sustainability.
By coupling sustainability with the concepts of model training and deployment...