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In today's data-driven world, organizations like Siemens are constantly seeking ways to extract valuable insights from big data and leverage artificial intelligence (AI) to enhance their operations. However, the sheer volume and complexity of data pose significant challenges in effectively harnessing its potential. This is where the concepts of data mesh and domain orientation play a critical role. The presentation explores how data mesh and AI domain adaptation are implemented at Siemens, highlighting their significance as critical success factors for maximizing the benefits of big data and AI. I will also give an outlook on how these principles develop and can be extended outside the business context.