Data-Centric AI in Industrial Applications

The chapter delves into the importance of data in building robust machine learning-based solutions for industrial AI, emphasizing the need for systematic and iterative approaches to create high-quality training datasets. It discusses the evolution of machine learning solutions in various industries, highlighting the shift towards data quality over quantity. The chapter also emphasizes the crucial role of domain experts in industrial applications and contrasts the traditional model-centric approach with the more agile data-centric method.