Optimizing Data Management in Machine Learning

This chapter explores the evolution of data products in AI and machine learning, emphasizing the need to understand customer needs to reduce inefficiencies. It discusses the 'seven wastes of data,' the impact of losing metadata, and the benefits of automation and visibility in workflow to enhance productivity.