AWS Entity Resolution adds record-level confidence scores for ML matching
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AWS Entity Resolution now provides record-level confidence scores for Machine Learning based matching workflows, enabling more precise identity matching decisions.
- Each resolved record carries its own confidence score reflecting actual match quality
- Apply differentiated thresholds for automated merges versus additional qualified records
- Larger addressable audiences and improved lead conversions with better match precision
- Maintains compliance-grade transparency with audit-ready evidence for each record
- RecordConfidenceLevel column reflects per-record scores with no schema changes required
- Available in all AWS Regions where Entity Resolution is supported
Record-level confidence scores enable customers to qualify more records for activation while maintaining match quality and compliance standards.
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