Release notes

Version 3.3.3

About Release

• Release date: May 30, 2025
• Compatible platform versions: Work.AI 10.2.8+

The release focuses on enhancing escalation capabilities based on analyst decisions, improving data processing accuracy, and upgrading models.

• The option to ignore middle names when comparing names is added to the AI Agent configutation, reducing false positives during entity matching.

• The tag content preprocessing is improved by removing the 36th-character newline before sending multi-tag input to the NER engine. The update addresses SWIFT line limitations and ensures accurate hit text alignment with modified tag content, enhancing entity recognition accuracy.

• To improve the error rate, we added the ability to automatically escalate hits. Now, hits are escalated if a hit hash was disabled by an operator for any reason or never released by an analyst. When configuring the AI Agent, you can now choose between auto-release, auto-escalate, or both options, ensuring no relevant hits are overlooked.

• To maintain audit trails, we enabled saving analyst comments from historical data upload and using them in decision review hit comments. The changes are as follows:

  • Comments are loaded from a new T_COMMENTS column of the hits.csv or messages.csv files.

  • A message-level analyst comment is only used if a message has exactly one hit.

  • A hit-level comment takes precedence over message-level comments.

  • For the same hit hash, only the last hit comment stored in the hash_comment column of the pss_clds_hash_analytics_v1 Data Store is used.

  • In the Output configuration section, you can now select using a custom continuous learning (CLDS) report template instead of generating a report with standard columns.

• The Tara API is updated to v1.2.5. No changes to input and output contracts are applied.

• The AI Agent configuration is upgraded with the decision model v5.1.3 and Name Matcher v1.1.2 delivering the following improvements:

  • Adding cities to geo term preprocessing.

  • Introducing a specific preprocessor to remove currencies.

  • Revised preprocessing logic to improve overall accuracy in entity detection.

• The NER model is upgraded to v2.3.0 incorporating the following changes:

  • Improved model predictions for the Organization (ORG), Location (LOC), and Person (PER) types.

  • Improved recognition of Middle Eastern personal and company names.

  • Improved recognition of personal and company names in cases when input breaks the expected SWIFT field format.

Bug fixes:

• Fixed the configuration issue with quality control (QC) and CLDS reports when switching between data collection options. As a result, when consecutive reports are run, the date range configuration chosen in the first run does not supersede the configuration choice made in the second run.

• Resolved the issue with incorrect offsets after merging entities with IDs, enhancing the reliability of entity annotations.

• Resolved a number of issues by updating Name Matcher to v1.1.2:

  • Resolved the issue with the Geocoder producing no results when parsing enrichment data.

  • Resolved the issue with a country removed in one name and preserved in another.

  • Fixed the issue with the individual name's low score if matching on initials.

  • Fixed the issue with score calculation for names with uncommon tokens.