Skip to main content
Version: 3.9

Release notes

Version 3.9.3​

About Release
  • Release date: December 20, 2024
  • Compatible platform version: Work.AI 10.2.8+

New features

The v3.9.3 patch improves the conditional validation of input data:

  • The date of birth information is now validated for individuals only.

  • You can turn off validation for location fields directly from the user interface configuration screen.

Bug fixes

  • Corrected issues in the Ad-Hoc Manual Task template.

Version 3.9.2​

About Release
  • Release date: November 29, 2024
  • Compatible platform version: Work.AI 10.2.8+

New features

  • To provide error traceability and facilitate failure investigations, incorrect values are logged in validation errors.

Bug fixes

  • Fixed the issues causing the ML model to fail randomly.

  • Eliminated the problem with the investigation status conflicting with the decision comment for Spanish-language articles that were not reviewed by the large language model. Now, the decision comment supports the status for each article.

Version 3.9.1​

About Release
  • Release date: November 14, 2024
  • Compatible platform version: Work.AI 10.2.8+

New features

  • Tooltips are removed from Manual Tasks to enhance clarity and reduce visual clutter. Tooltips are now available only on hover, providing guidance when needed.

  • Articles without links in the input data can now be accepted from external sources. The feature also supports scenarios when different provider names are used for external sources across articles.

  • To provide deeper insights into cost center data and enhance expense tracking, we added cost center codes and names to the analytics dashboard. Additionally, the billing API is updated with the new fields.

  • Titles, summaries, and content from the input data are now fully supported for external providers, ensuring seamless content integration for external articles.

Bug fixes

  • Fixed the issue where false positive articles lacked highlighted keywords in Manual Tasks due to missing tagging from the LLM model.

  • Fixed the issue causing sentences in tagged text to appear shuffled.

Version 3.9​

About Release
  • Release date: October 29, 2024
  • Compatible platform version: Work.AI 10.2.8+

New features

  • The configuration of AMM input sources has become more straightforward and flexible for your needs. You can source data from third-party providers (Google, Factiva, and so on) and an input CSV file in a single transaction. The new CSV sourcing option is available in the Search provider drop-down list as External Source.

  • To improve the quality of parsing and, hence, the automation rate, the Trafilatura content parser was introduced in addition to Postlight. Trafilatura helps Postlight to parse the search results from the Google, Thomson Reuters, and External Source providers.

  • Parsing now also covers PDF files, thus reducing the manual effort required to review them. Now, the model can also evaluate PDFs for relevancy before passing them futher down the flow, thus cutting the amount of processed data.

  • The decision reapplication feature now supports the display of duplicate articles in the results, allowing you greater visibility into AMM decisions. In addition, the decision reapplication configuration was extended with new options to fine-tune the feature's usage based on the matching decision and unique user counts.

  • To better trace how manual review tasks are handled, all user actions associated with them (submit, assign, cancel, reassign, save, open) are logged in an audit trail. The audit trails are stored in the user_activities_audit table. The log for each action includes its description, involved user, and timestamp.

  • Besides the name and age matching, the OpenAI-based Large Language Model (LLM) supports the out-of-the-box AMM model in crime extraction. You can manage the LLM usage via the newly introduced Screening approach interface option: set it to assist in matching the age and name only or add the crime extraction capability to the list.

  • To give you better control over the screened entity status, Webhook callbacks were implemented, notifying you about Manual Task creation and investigations completed. You can configure the Webhooks, including their encryption, in the AMM configuration interface. The AMM API was also extended with Webhook payloads and adjudication codes in responses.

  • To improve the automation rate by optimizing the result display, an option to exclude error articles was introduced for the Google API provider. You can enable it by selecting the Ignore error articles checkbox as you configure the Google API provider.

  • You can now select a preferred date format for the input data and final report, which allows you handle any date formats you might encounter in your data pool. All you need is to choose an option when configuring the Investigation settings.

  • To enhance the quality control in your AMM automations, we implemented the Auto Quality Control feature. If enabled, the feature randomly selects and sends a specified percentage of false positive articles for manual review.

  • To make the data handling within the core Business Process more efficient, the input data from a regular Thomson Reuters investigation is also used for ongoing monitoring with the same provider. The ongoing monitoring is triggered from the regular investigation via an asynchronous call, provided you enabled it during the configuration.

  • Authorization validation was added for the Factiva, Lexis-Nexis, and World-Check One providers to enable the traceability of associated Business Process failures. If a search run fails due to incorrect credentials, an error message is shown, stating clearly the reason behind the failure.

  • For a more detailed date-based individual entity search, you can now add the Date of birth field in the MM/dd/YYYY format instead of the Year of birth one to the Ad Hoc investigation screen.

  • To streamline running ad hoc investigation requests, a format template file is now available for downloads from the Ad Hoc investigation screen in Workspace.

  • The city variable is back in the AMM input data to give your investigations another level of detail. Just as before, you can choose the field for ad-hoc investigation during configuration. However, the subdivision validation for the field was deprecated. On the configuration screen, the Residence country field is added automatically when the City one is present.

  • To make the search results more credible, the x.com and Threads social networks were put on the ignore list for Google search.

Improvements

Other improvements focus on security, traceability, and usability:

  • Snyk vulnerabilities were resolved to prevent security issues.

  • The Assign to me checkbox is always enabled by default for Ad Hoc tasks so that no manual review task is missed or unattended by your employees.

  • The comment by the machine learning (ML) model from the manual review task and report is now stored in the article table. As a result, you can effortlessly trace the model's decisions.

  • To help analysts to better understand the logic behind AMM decisions, the score label on the manual review page was renamed into adversity score. Next to the label, you can find a tooltip with detailed explanations.

  • In the input data, the ongoing_monitor_name input field was replaced with the add_to_ongoing_monitor Boolean field. The improvement supports the new logic launching the ongoing monitoring from a regular investigation.

  • As you process the results from the Thomson Reuters provider, you can now download an article by a link if the number of words in the full text is less than the minimum value.

  • The structure of the email with the final AMM results is reformatted to improve its navigation and readability. The email template now includes a link to the batch report in the top area, while the bottom section is removed entirely.

Bug fixes

  • Fixed the issue with the REST API output containing no article review investigation status.

  • Fixed the issue with AMM failing to display the investigation history if no results are found.

  • Eliminated the problem with the AMM ML model failing to process long names.

  • Eliminated the issue with the incorrectly reduced display of PDF reports.

  • Fixed the issue with emails missing the No Entity ID entry for failed searches.

  • Fixed the issue with the Business Process continuing to execute with an invalid Webhook endpoint.

  • Eliminated the issues with saving the AMM configuration form in the user interface.

  • Eliminated the problem with no AutoQC alert displayed on manual review task pages.

  • Fixed the issue with displaying the PDF report link in the Business Process results.

  • Eliminated the problem with incorrect dispositioning of Spanish articles.

  • Eliminated the problem with the Ad Hoc Business Process failing when attempting to send an email containing a report.

Last updated on