AI-powered Entity Resolution

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9. Active Learning to Reduce Manual Validation Effort

Objective:

Reduce SME effort & time to validate entity matches by ~80%

to free up time for the SMEs - from having to manually label every match to just having to label those where the system is not absolutely certain about a match or no-match.

Active Learning


Auto-recommendation of sample entity matches that the model is not confident about and needs human feedback to learn
Create a UI to enable the SME to validate the matches presented to them recommended by the system.
Use this process iteratively to continue teaching the model to do better with each run.
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