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Version: 3.2.7

Release notes

Version 3.2.7​

About Release
  • Release date: March 19, 2025
  • Compatible platform versions: Work.AI 10.2.8+

The Tara v3.2.7 release focuses on enhancing data integrity, auditability, and operational efficiency in CLDS, improving decision-making processes, and refining entity recognition capabilities.

  • As part of CLDS enhancements, we added the ability to upload and process a hash status feedback file to improve the management of historical hash decisions.

    • The PSS CLDS Ingest Historical Decisions Business Process now checks for an additional hash_status_change_{date}.csv file each time it runs. If the file is provided, it is fetched together with historical files and processed.

    • Support for multiple file uploads allows simultaneous submission of multiple feedback files.

    • The pss_clds_hash_analytics_v1 Data Store includes new columns to record the updated status, timestamp, and operator who requested the change, improving auditability.

    • The pss_dr_analytics_v1 Data Store now allows recording actions. Failure events are also logged, providing better visibility into hash status changes.

    • CLDS reports now include the hash_operator column to provide insight into status change requests.

    • Hash consistency for hit_type = "national id" is improved to ensure that hashes remain identical regardless of spaces in the input, preventing discrepancies in identity matching.

  • Configurable analyst exclusion is now available in continuous learning decision calculations. In the Reapplication Data section of the AI Agent configuration, you can set up analyst or operator names for exclusion from the decision-making process when determining whether a hit qualifies for reapplication.

  • Support for the NTN ID NER ID type is introduced, addressing the issue where Tara could not process NTN IDs from input data.

  • The decision object now displays the type confidence score instead of the name matcher score for type mismatch rules, ensuring more precise scoring.

  • The AI Agent configuration is upgraded with the NER model v2.1.5, incorporating the following changes:

    • Improved ORG postprocessor logic prevents country codes (for example, AE or AG) from being incorrectly classified as business entities.

    • Handling of CUSIP numbers is added, introducing the ID_CUSIP label to apply dispositioning logic based on ID information.

    • Recognition of INN numbers is now supported with the help of the ID_INN label.

    • Legal Entity Identifier (LEI) is now handled as a special ID label, enabling identification of legal entities participating in financial transactions.

    • BIC code detection is enhanced to recognize codes preceded by the "B" character, improving Tara's ability to process BICs.

    • Entity-level precision, recall, and F1-score metrics are now used to evaluate NER models, ensuring more accurate assessment by considering entire entity spans rather than individual token predictions.

Bug fixes:

  • Resolved country-related issues by updating the internal location lookup logic for pipe-separated countries. Additionally, the conversion logic for the special region code "UA-43" is corrected to prevent errors related to the Crimea region.
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