GenAI is slowly arriving in the business environment, driven by Microsoft’s Copilot and SAP’s Joule, among others. The underlying large language models need training data – ideally from the company using them, of course. And this is where it gets interesting: how good is the quality of the data used? Master data management is probably one of the most unpopular topics within companies, and standardizing and keeping data clean is a mammoth task. Accordingly, companies should critically ask themselves how much data really remains at the end of the day that is accurate and relevant to feed the corresponding GenAI models.
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