Traditional data governance fails to address how data is consumed and how information gets used. As a result, organizations are failing to effectively share and leverage data assets. To meet the needs of the business and the growing number of dat
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Insight on how ML can be used for modernizing data governance. Discussion includes the need to think about data governance with end-users in mind and how a machine learning data catalog can help and how-to guide analysis while fostering a self-service environment where everyone is encouraged to leverage data to make decisions.