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Evolution of Semantic Layers in Data Management
This chapter explores the evolution of semantic layers in data management, emphasizing the shift from data-centric approaches to integrating knowledge and semantics through metadata. It discusses the value proposition of semantic layers for large organizations, focusing on personalized content aggregation, AI categorization, and knowledge graphs for data understanding. The conversation touches on the integration of master data management in semantic layers, the applications of graph analysis, and the shift towards utilizing Large Language Models for operationalizing AI.