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Version: 2.2.0

Release notes

Version 2.2.1​

About Release
  • Release date: February 23, 2023
  • Compatible platform versions: IA Cloud 10.2.6 and 10.2.7

New features

Business Processes:

  • Added the ISO20022 format parser with the limited type dictionary.

  • Added Billing Report to RMQ.

  • Added input and output support for connectors.

  • Improved HTML Report and added an original request.

  • Changed a build to produce the Tara bundle.

  • Removed all Python dependencies.

  • Added more scenarios to the synthetic dataset generation.

Bug fixes

Business Processes:

  • Fixed the error response to return a standard response object.

  • Fixed the screened data injection during content parsing for all formats.

  • Resolved the issue with saving HTML reports to the analytics table.

  • Applied a variety of minor bug fixes.

Models:

  • Fixed the issue with hardcoded Blacklisted Configs. Now, they are read from UI configurations.

  • Fixed a narrative on empty value.

  • Fixed alias matching and removed the hit_not_found_in_text feature.

  • Fixed Type Mismatch. NAME cannot be non_entity.

  • Fixed the multiple_name_found feature.

Version 2.2.0​

About Release
  • Release date: January 24, 2023
  • Compatible platform version: IA Cloud 10.2.6

New features

Business Processes:

  • Introduced Python model v3.2.0.

  • Introduced Python wheel v2.2.14.

  • Updated the build pipeline.

  • Updated the dashboard analytics file.

  • Upgraded project dependencies, security, and the testing framework.

  • Updated the flat-file input processing for FUF and SWIFT messages.

  • Updated the FUF parser to get tag content.

  • Packaged pre-trained models into the Tara bundle outside the PSS model.

  • Moved Company Verifier to a separate bot step.

  • Updated Filtering:

    • Allowed rules with only EXCLUDE conditions.

    • Enabled search for all message fields.

    • Fixed the exception using GLOBAL search.

  • Updated the FUF parser to allow a newline character in a value.

  • Added more scenarios to the synthetic DATA file.

Models:

  • Added the screened name to the name matcher aggregator.

  • Updated the matching order for aliases.

  • Added country parsing from the address field.

  • Replaced the predicted name with an account holder's name when applicable.

  • Added the hit_not_found_in_text feature.

  • Added additionalData_name versus predicted_name validation.

  • Reworked decision narratives to include the NO_DECISION explanations.

  • Changed the project build by moving heavy pre-trained modules to the Python installation.

  • Applied trusting user's data when calculating the predicted name.

  • Updated the name matcher:

    • Added checking the screened name before the account holder's name.

    • Fixed the multi-alias matching logic.

  • Enabled treating the \n character as a separator for the NER text processing.

Other:

  • Re-structured Tara. Now, the initial installation is 5 GB, with each subsequent update around ~200 MB.

Bug fixes

Business Processes:

  • Fixed the FUF dictionary file.

  • Fixed the narrative processing and display.

Models:

  • Fixed predicted type_mismatch for one token named.

  • Fixed the additionalData type handling.

  • Fixed the primary name aggregation issue.

  • Amended type_mismatch for predicted names.

  • Fixed various bug fixes related to making a decision.

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