How does the ai handle cases where project metadata is incomplete or inconsistent
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I’m interested in how BidLight’s AI handles cases where project metadata is incomplete or inconsistent. Can the data classifier identify missing or erroneous data and intelligently fill in gaps based on patterns it has learned from its training?
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