What is Holistic Data Quality Management | AI Basics

This article explores the concept of holistic data quality management in the context of AI. It emphasizes the importance of a continuous improvement process involving people, processes, and technology to ensure clean, accurate, and reliable data for successful AI initiatives. The article also discusses the role of AI in automating data profiling and quality monitoring.