Grab uses an LLM to look at database table and column names, then suggest labels such as personal ID, contact information, geohash, business metric, or none. Data owners review the suggested tags before they are used by internal data platforms.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.
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Executive brief, technical architecture, and market positioning for this use case.
2 use cases in this application