Date: May 6, 2025
Language: German/ English
To succeed in production, artificial intelligence models need trustworthy outputs based on governed inputs. This basic fact forces AI adopters to get serious about data governance and therefore master data management (MDM). By standardizing descriptions of entities such as products, customers, and partners, MDM enables companies to improve the accuracy of their operational records. This comes in handy for all types of AI, from recommendation engines to generative AI, which need a correct view of the business to deliver value and minimize risk.
This webinar explains why and how effective master data makes AI successful. It defines the requirements for data governance as they relate to AI, then explores use cases in which MDM contributes to AI-ready data. In particular, we examine how master data feeds GenAI language models.