Navigating Data Interpretation Challenges with Semantic Layers and AI

The chapter explores the complexities of data interpretation and trust in data across organizational departments, emphasizing the role of semantic layers in providing context and bridging understanding gaps. It discusses the importance of transparent data processing and governance to enhance trust among data consumers and the potential use of AI in automating metric definitions. The conversation also covers the application of AI in data analysis, focusing on building language models for customer data and the need for semantic models to improve AI performance.