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The role of a data governance architect is crucial in the success of AI models, as it ensures the integrity and quality of underlying data. This role is often overlooked in discussions about AI, but it is essential for organizations to extract value from their AI and ML initiatives. The biggest challenges in establishing effective data governance for AI and ML include creating a culture that values data governance and standardizing diverse data sources.