How Governance Teams Get Their Data AI-Ready

Data governance has evolved to meet the demands of artificial intelligence by ensuring data is "AI-ready," meaning it is trustworthy and can be acted upon by AI agents without human intervention. This shift requires governance teams to focus on data quality, ownership, and enforceability, which can be facilitated by tools like Soda AI. Soda AI helps streamline the process by automating the identification of data quality coverage, drafting data contracts, and assigning dataset ownership. These processes ensure that data meets the necessary standards for AI consumption. Despite these advancements, human oversight remains crucial as Soda AI proposes changes that require approval from governance managers, who maintain control over what is deemed "good" data. This approach helps organizations close the gap between policy and practice, particularly in regulated sectors where compliance is critical, allowing them to implement AI-driven data quality measures efficiently and effectively.

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