Combined Predictive Intelligence release notes for upgrades from Xanadu to Australia

How to use this page

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

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 Predictive Intelligence to Australia

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


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich	No updates for this release.
Australia	No updates for this release.

New features

Between your current release family and Australia, new features were introduced for Predictive Intelligence.


Release	Release notes
Xanadu	No updates for this release.
Yokohama	Model Explainability Learn which classes contribute most to your model's predictions by optionally adding Model Explainability to Workflow Classification solutions. Model Explainability provides a new tab labeled Feature Importance where you can run an analysis of each class's contribution to the overall prediction. Leverage new advanced options for classification solutions, from Yokohama Patch 4. Configure include only top N labels. Limit the classification model to use only the top most frequent labels. You can choose a number as the limit. Minimum records needed for label to include it. Set a threshold for the minimum number of records a label must have in your dataset to be included in model training. Remove others label. Reduce noise in the model and enhance predictive accuracy by removing records with the label "others" from training data. Use LightGBM algo for classification model training. Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. Config parameters for model config in classification. Customize training behavior by including a dictionary of parameters in the JSON format.
Zurich	Review any errors in predictions using the Observability Dashboard Monitor errors using the Observability Dashboard which provides analytics derived from a new table. This table is dedicated to logging any errors that may occur during Predictive Intelligence predictions. Leverage new advanced options for classification solutions Customize your classification models in Predictive Intelligence with the following advanced options. Configure include only top N labels: Limit the classification model to use only the top most frequent labels. You can choose a number as the limit. Minimum records needed for label to include it: Set a threshold for the minimum number of records a label must have in your dataset to be included in model training. Remove others label: Reduce noise in the model and enhance predictive accuracy by removing records with the label "others" from training data. Use LightGBM algo for classification model training: Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. Config parameters for model config in classification: Customize training behavior by including a dictionary of parameters in the JSON format.
Australia	Predictive Intelligence Usage Analytics dashboard Usage Analytics dashboard is a central location to understand the adoption, effectiveness, and overall value of all your Predictive Intelligence solutions. Dashboard widgets offer several metrics such as total monthly count of predictions per solution type.

Changes

Between your current release family and Australia, some changes were made to existing Predictive Intelligence features.


Release	Release notes
Xanadu	Leverage new advanced options for classification solutions, from Xanadu Patch 9. Five new advanced options are available for classification solutions, including new parameters and a new algorithm. Configure include only top N labels. Limit the classification model to use only the top most frequent labels. You can choose a number as the limit. Minimum records needed for label to include it. Set a threshold for the minimum number of records a label must have in your dataset to be included in model training. Remove others label. Reduce noise in the model and enhance predictive accuracy by removing records with the label "others" from training data. Use LightGBM algo for classification model training. Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. Config parameters for model config in classification. Customize training behavior by including a dictionary of parameters in the JSON format.
Yokohama	No updates for this release.
Zurich	Validation logic ensures that Predictive Intelligence can access data tables Reduce errors while training Predictive Intelligence models with the help of new validation logic. This validation checks whether your data tables have ACLs (Access Control Lists) granting access to Predictive Intelligence.
Australia	No updates for this release.

Removed

Between your current release family and Australia, some Predictive Intelligence features or functionality were removed.


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich	No updates for this release.
Australia	No updates for this release.

Deprecations

Between your current release family and Australia, some Predictive Intelligence features or functionality were deprecated.


Release	Release notes
Xanadu	The dashboard for Solution Statistics has been deprecated. Upgrading customers can continue to use their existing Solutions Statistics dashboards from the application menu. For new customers onboarding with the Xanadu release, the Solutions Statistics dashboard is not available. For more information, see Review classification solution statistics.
Yokohama	With the Yokohama release, ITSM Predictive Intelligence Workbench is deprecated and no longer supported. To obtain the latest experience for this functionality, install the Task Intelligence for ITSM application (com.snc.itsm_ml_task). For more information, see ITSM Predictive Intelligence Workbench release notes.
Zurich	No updates for this release.
Australia	No updates for this release.

Activation information

Review information on how to activate Predictive Intelligence.


Release	Release notes
Xanadu	Predictive Intelligence is a ServiceNow AI Platform feature that is available with activation of the Predictive Intelligence Reports (com.glide.platform_ml_pa) plugin and its dependent Predictive Intelligence (com.glide.platform_ml) plugin. For details, see Install Predictive Intelligence.
Yokohama	Predictive Intelligence is a ServiceNow AI Platform feature that is available with activation of the Predictive Intelligence plugin (com.glide.platform_ml). For details, see Install Predictive Intelligence.
Zurich	Predictive Intelligence is a ServiceNow AI Platform feature that is active by default.
Australia	Predictive Intelligence is a ServiceNow AI Platform feature that is active by default.

Additional requirements

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


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich	No updates for this release.
Australia	No updates for this release.

Browser requirements

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


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich	No updates for this release.
Australia	No updates for this release.

Accessibility information

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


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich
Australia	No updates for this release.

Localization information

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


Release	Release notes
Xanadu	No updates for this release.
Yokohama	No updates for this release.
Zurich	No updates for this release.
Australia	No updates for this release.

Highlight information

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


Release	Release notes
Xanadu	The dashboard for Prediction Results has been migrated to the Next Experience UI. Upgrading customers with existing Prediction Results dashboards can use either the Next Experience UI version or access the Core UI version from within the new dashboard. The dashboard for Solution Statistics has been deprecated. Upgrading customers can continue to use their existing Solutions Statistics dashboards from the application menu. New advanced options for classification solutions are available from Xanadu Patch 9. See Predictive Intelligence for more information.
Yokohama	Learn which classes contribute the most to your model's predictions by adding Model Explainability to Workflow Classification solutions. ITSM Predictive Intelligence Workbench is deprecated in the Yokohama release. New advanced options for classification solutions are available from Yokohama Patch 4. See Predictive Intelligence for more information.
Zurich	Predictive Intelligence errors are logged in a new, dedicated table. The PI - Observability Dashboard leverages this table to provide analytics on prediction errors. New advanced options for Classification models are available, including new parameters and a new algorithm. Validation logic ensures that Predictive Intelligence models have ACLs to access data tables. See Predictive Intelligence for more information.
Australia	A new Predictive Intelligence Usage Analytics dashboard provides you with actionable insights into model performance, user engagement, adoption trends, and product health. See Predictive Intelligence for more information.