What are the use case where data management ( standards, quality, governance etc.) Is required for AI/ML model?

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I would argue that strong data management foundations are required to enable all AI/ML use cases

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Majority of large scale multi sourced data is being referenced for ML models

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I’m not sure if I understood your question but a use case would be model training/maintenance where you have to ensure data quality is high and there has to be governance around PII/PHI type data

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