[English Market Research Report] Achieving Data Governance for Generative AI

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This report discusses the importance of data governance in the context of generative AI (GenAI). It addresses concerns related to data management, infrastructure costs, and regulatory risks, emphasizing the need for a disciplined approach to leveraging GenAI within organizations. It also highlights the role of data and model intelligence in achieving data governance for GenAI and suggests the involvement of various stakeholders across the organization. Stewart Bond, Vice President of IDC's Data Intelligence and Integration Software Research, states, "Data governance is not a new discipline, but as organizations begin to leverage AI everywhere in their digital business operations, its importance has never been greater. Vision, intelligence, talent, technology, and processes are all essential to mitigate the risks associated with using internal data against external GenAI models and to protect against the misuse of personal and intellectual property data, ensuring that undesirable outcomes do not occur."

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