Exploring the Significance of Metadata in AI Initiatives

The chapter emphasizes the importance of metadata in managing complexity for AI, stressing quality data, lineage, observability, and explainability. It positions metadata as essential for understanding data usage and aligning it with business goals, discussing its role in decision intelligence and customer insights. The content also touches on the top trends in data engineering, focusing on knowledge graphs as a key trend in supporting AI applications.