AI governance is quickly becoming a critical extension of data governance in the enterprise, addressing the unique risks and complexities introduced by AI systems. But while data governance ensures data quality, integrity, and compliance, AI governance further builds on this foundation to drive how that data is used in model development, decision-making, and automation. AI governance encompasses the management of model transparency, accountability, fairness, and performance throughout the AI lifecycle so that you can trust your results with confidence and accelerate AI market readiness at scale.  

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