Data Governance for Generative AI adoption

Abstract

Generative artificial intelligence (AI) requires data as an input. The way data is maintained and managed within an organization is determined by Data Governance (DG). This master thesis addresses the question of which DG elements are necessary to ensure the sustainable, profitable, and long-term application of generative AI. The thesis aims to provide a Data Governance Framework (DGF) tailored to Swiss MSEs in the manufacturing sector.