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Ai requires data governance, which handles the security of its data, the safety of user interfaces, and testing standards to maintain trust. Enterprises face challenges with fragmented governance across databases, warehouses and lakes, complicating discovery, access permissions, data usage, audits and sharing. As demands for data governance (dg) and ai governance (aig) increase, how can companies make them work together?
This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use How to build a unified governance strategy for your data and ai estate effective governance is essential to democratizing data and ai in the age of llms and generative ai It is the foundation for any ai governance practice and is crucial in mitigating a number of enterprise risks.
As ai reshapes enterprise strategy, outdated governance models can slow progress and introduce risk
The kpmg integrated data+ai governance framework helps organizations build trust, scale innovation, and unlock measurable value Discover how modern governance can transform your data into a strategic asset—ready for ai, built for growth. Learn how ai and data governance work together The era of generative ai has arrived, offering new possibilities for every person, business, and industry
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Clarify available data assets to inform decision.
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