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Exploring Data Management and AI Adoption
This chapter delves into the distinctions between aggregates and master data management, emphasizing their unique roles in ensuring data quality and consistency at scale. The discussion also covers changing data semantics, the potential for automation through generative AI, and the role of MDM as a sophisticated semantic layer. Additionally, it touches on AI adoption trends in Europe across various industries and provides strategic advice for implementing AI effectively within organizations.