Task Intelligence for ITSM release notes
- UpdatedMay 1, 2025
- 2 minutes to read
Version history for the Task Intelligence for ITSM application on the ServiceNow Store.
Important: For details on system requirements and family compatibility, view the application
listing on the ServiceNow Store
website.
Version history
- Version 8.0.0 - May 2025
- New Ships a new model out of the box to recommend a major incident using Task Intelligence.
- Version 7.0.0 - November 2024
- New:
- Updated the existing Task Intelligence template to be generic to surface similar problems and similar change requests along with similar incidents
- Introduces new page "Define the purpose" to select the prediction and training tables for similarity models
- Ships a new model out of the box to suggest similar open problems for incident
- Ships a new model out of the box to suggest similar open change requests for incident
- Support for defining conditions on training table for similarity models
- New:
- Version 6.0.1 - August 2024
- New:
- Ships a new Task Intelligence template to surface similar incidents
- Ships a new model out of the box to suggest similar incidents
- Changed: Renamed OOB incident categorization model to "Incident Categorization"
- New:
- Version 1.2.0 - February 2024
- New:
- Technical support to return top "n" recommendations.
- "n" is being set in Recommended Actions application
- Technical support to return top "n" recommendations.
- Minor issue fixes
- New:
- Version 1.1.0 - November 2023
- Changed: The options for setting your preferences for each incident field are relocated to the Assess your model section.
- Version 1.0.0 - August 2023
- Predict and recommend the incident field information to help with incident categorization and reduce the handle time for agents and increase productivity;
- Define the purpose, set the prediction preferences and behaviour, train with your data, and deploy the solution model for predicting and recommending incident fields
- Track and monitor the performance of the deployed model.
- Edit the deployed model based on the performance results, train and deploy the model again.