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Version: 3.2.3

Release notes

Version 3.2.3​

About Release
  • Release date: January 17, 2025
  • Compatible platform versions: Work.AI 10.2.8+

The Tara v3.2.3 patch introduces vital improvements for Continuous Learning Data Store (CLDS) processes, alert and report enhancements and addresses previously reported issues.

  • The CLDS process was adjusted to reduce the processing time and improve the feature performance, including the following changes:

    • A new PSS CLDS report Business Process was introduced, enabling the generation of CLDS reports on a scheduled basis. The report generation settings are configurable in the AI Agent interface. You can now run reports on demand or on a defined schedule. Generated reports include predefined columns and display only matches from historical hash data.

    • The CLDS historical upload process was reengineered to ensure CLDS execution completes within five seconds. To support the update, a new CLDS analytics Data Store was implemented to store historical upload statistics. All data points required for real-time CLDS processing are now calculated and stored in the analytics Data Store.

    • Real-time CLDS processing was rebuilt to remove real-time searches against historical data and replace the rule engine with simplified predefined conditions. The configuration form was updated to reflect the revised workflow. Real-time requests now query the new CLDS analytics Data Store. Updates were also applied to the Data Stores to enhance CLDS testing capabilities, as well as data and decision analysis.

  • Decision-based alert comments are now stored in the Data Store, which improves traceability and simplifies their analysis.

  • The AI Agent configuration is upgraded with the NER model v2.0.6, featuring improvements to the hit text and entitity matching capabilities to enhance the overall model accuracy and reliability. The adjustments are as follows:

    • Exact matches are now allowed for two-letter hit text when the type is ID, such as "SB" in "1234567SBK89".

    • The default hit text length for exact sub-token matches is reduced from 4 to 3 characters.

    • Single-letter tokens are excluded from similarity score calculations, for example, "SBK" versus "B".

    • For improved NER entity type detection, the NER model input excludes SWIFT markers, such as "1/" and "2/", from the tag content.

Bug fixes:

  • Resolved an issue with the post-processor that caused duplicate location text.
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