Combined Task Intelligence for ITSM release notes for upgrades from Vancouver to Yokohama

How to use this page

To help you prepare for your upgrade, we have combined the cross-family Task Intelligence for ITSM release notes onto one page. Read this summary of the new features, changes, and updated information for your product from Vancouver to Yokohama.

Tip:

If there were no updates for a release notes section in a certain family release, we included a short note for your reference. For example, if a product did not have any updates in Tokyo, the row says "No updates for this release."

Important information for upgrading Task Intelligence for ITSM to Yokohama

Before you upgrade to Yokohama, review these pre- and post-upgrade tasks and complete the tasks as needed.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

New features

Between your current release family and Yokohama, new features were introduced for Task Intelligence for ITSM.


Release	Release notes
Vancouver	Incident prediction model Set up and deploy your incident prediction model to predict incident fields and help categorize incidents. Monitoring and analytics Track and view the impacts of your incident prediction models. Monitor and analyze a model's performance overtime. View the total number of predictions, as well as the number of predictions your agents did and didn't use. Edit and redeploy the model Based on the model's performance and impact, you can edit, retrain, and redeploy the model to enhance performance.
Washington DC	No updates for this release.
Xanadu	Set up a similarity model Set up and configure a similarity model that learns the patterns of similarity between two types of tables by comparing their fields. You can use the similarity template card to set up a new similarity model or select the Incident Similarity model available in the base system. Metrics of similarity model View the number of predictions made by a selected similarity model and the number of incidents records that provided predictions. Edit and redeploy the model You can edit, retrain, and redeploy a similarity model to enhance the performance based on the model performance and impact.
Yokohama	No updates for this release.

Changes

Between your current release family and Yokohama, some changes were made to existing Task Intelligence for ITSM features.


Release	Release notes
Vancouver	Model configuration changes Starting in version 1.1, the options for setting your preferences and behavior for the Incidents field are relocated to the Assess your model section. In the Assess your model section, you can set your preferences and behavior for each Incident field by performing the following actions: Auto-fill the predicted value in the incident field. Recommend the predicted value in the incident field. Monitor and run the prediction model for the incident field in the background only. Turn off the predictions for the incident field.
Washington DC	No updates for this release.
Xanadu	Classification model renaming The classification model available with the base system has been renamed from ITSM OOTB TI Solution to Incident Categorization. Monitoring and Analytics You can now view the number of records predicted by the similarity models in the Task intelligence analytics page. Updated Load Records icon Starting in version 7.0.0, you can now viw the updated Load Records icon on Train the model screen.
Yokohama	No updates for this release.

Removed

Between your current release family and Yokohama, some Task Intelligence for ITSM features or functionality were removed.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Deprecations

Between your current release family and Yokohama, some Task Intelligence for ITSM features or functionality were deprecated.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Activation information

Review information on how to activate Task Intelligence for ITSM.


Release	Release notes
Vancouver	Install Task Intelligence for ITSM (com.snc.itsm_ml_task) by requesting it from the ServiceNow Store. Visit the ServiceNow Store website to view all the available apps and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.
Washington DC	No updates for this release.
Xanadu	Install Task Intelligence for ITSM by requesting it from the ServiceNow Store. Visit the ServiceNow Store website to view all the available apps and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.
Yokohama	No updates for this release.

Additional requirements

If any additional requirements were introduced or changed for Task Intelligence for ITSM we have noted them here.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Browser requirements

If any specific browser requirements were introduced or changed for Task Intelligence for ITSM we have noted them here.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Accessibility information

Review details on accessibility information for Task Intelligence for ITSM, such as specific requirements or compliance levels.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Localization information

If there are specific localization considerations for Task Intelligence for ITSM we have noted them here.


Release	Release notes
Vancouver	No updates for this release.
Washington DC	No updates for this release.
Xanadu	No updates for this release.
Yokohama	No updates for this release.

Highlight information

If there are specific highlight considerations for Task Intelligence for ITSM we have noted them here.


Release	Release notes
Vancouver	Define an incident prediction model's purpose, set its prediction preferences and behavior, train it with your data, and deploy it to predict and recommend incident fields. Track and monitor the performance of a deployed model. Use incident field information to help you categorize incidents and reduce the handle time for agents. Edit, train, and redeploy a model based on its performance results. Supports Utah patch 5 and later releases. Starting in version 1.1, the options for setting your preferences for each incident field are relocated to the Assess your model section. See Task Intelligence for ITSM for more information.
Washington DC	No updates for this release.
Xanadu	Set up and configure a new training similarity model that identifies similarities between the fields of an incident table and a selected training table. Set up a similarity model using a similarity template card or the Incident Similarity model to provide recommendations for similar records on incident records and reduce handle time for agents. Set up the prediction preferences for a similarity model, train it with your data, and deploy the model to predict similar records. Track and monitor the performance of a deployed similarity model. Edit, train, and redeploy a similarity model based on the performance results. Manage how frequently the models are automatically retrained by setting the training frequency during model configuration. Staring in version 7.0.0, you can do the following: Specify the purpose of a similar prediction model and configure the prediction preferences. Set up and configure a new similarity model- Similar open Change Requests for Incidents to predict similar change requests based on the fields configured. Set up and configure a new similarity model Similar open Problems for Incidents to predict similar problems based on the fields configured. Choose the set of records used for training the similar incident model by selecting the conditions on the training tables and training fields for training the similarity models. See Task Intelligence for ITSM for more information.
Yokohama	No updates for this release.