Generative AI Needs Vigilant Data Cataloging and Governance
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Data catalogs evaluate and control the accuracy, explainability, privacy, IP friendliness, and fairness of GenAI inputs.
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Data catalogs evaluate and control the accuracy, explainability, privacy, IP friendliness, and fairness of GenAI inputs.
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The need for an independent semantic layer continues to rise as data science gains traction in the enterprise.
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Generative AI initiatives will require new data pipelines that prepare text files for querying by language models.
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This final blog in the series recommends ways for data teams to iterate their MDM initiatives based on the successes and failures of their first project.
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US frontier history had races, risks, and rewards. Generative AI's future will follow a similar path.
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