--- sourceDocument: australia Combined Product Files sourceDocumentLink: https://www.servicenow.com/docs/r/australia/delta-xanadu-australia Release : - australia ft:locale : - en-US ft:publication_title : - australia Combined Product Files ft:clusterId : - delta3ax bundleId : - delta3ax --- # Combined Predictive Intelligence release notes for upgrades from Xanadu to Australia # Combined Predictive Intelligence release notes for upgrades from Xanadu to Australia {#ariaid-title1} Release version: Australia Updated October 8, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 8 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Combined Predictive Intelligence Release Notes for Upgrades from Xanadu to Australia This consolidated release note page provides ServiceNow customers with a comprehensive view of all Predictive Intelligence updates, features, and changes from the Xanadu release up to the Australia release. Predictive Intelligence, formerly known as Agent Intelligence, is a ServiceNow AI Platform feature that enhances classification and prediction capabilities within your instance. This summary helps you prepare for upgrades by detailing new features, deprecated functionalities, activation requirements, and important considerations across multiple releases. Show full answer Show less ## Key Features * **Model Explainability (Yokohama release):** Adds a "Feature Importance" tab in Workflow Classification solutions, enabling users to understand which classes most influence model predictions. * **Advanced Classification Options (introduced in Xanadu Patch 9 and enhanced in Yokohama and Zurich):** Includes parameters such as limiting to top N labels, setting minimum record thresholds per label, removing "others" labels to reduce noise, using the LightGBM algorithm for model training, and customizing training behavior via JSON configuration. * **Observability Dashboard (Zurich release):** Provides analytics on prediction errors by logging errors in a dedicated table, allowing better monitoring and troubleshooting of model performance. * **Coral Theme (Zurich release):** Introduces a fresh, brand-neutral default theme with a dark mode option for web and mobile portals, improving user experience and accessibility. * **Predictive Intelligence Usage Analytics Dashboard (Australia release):** Centralizes metrics on model adoption, prediction counts, user engagement, and overall effectiveness to help monitor solution health and value. * **Security Enhancement (Australia release):** A new system property enables KAA validation for ML Trainer server communication when mutual TLS (mTLS) is enabled, strengthening security for model training and inference workflows. ## Changes and Deprecations * The **Solution Statistics dashboard** has been deprecated since the Xanadu release but remains accessible for upgrading customers. * **ITSM Predictive Intelligence Workbench** was deprecated in the Yokohama release and replaced by the Task Intelligence for ITSM application for the latest functionality. * Prediction Results dashboards were migrated to the Next Experience UI to align with modern user interface standards. * Validation logic was introduced to ensure Predictive Intelligence models have proper ACLs on data tables, reducing training errors. ## Activation and Requirements * Predictive Intelligence is activated by default in Zurich and Australia releases; earlier releases require activation of specific plugins. * No additional browser, localization, or accessibility requirements beyond the noted Coral theme dark mode option, which supports better readability and reduced eye strain. ## Preparing for Upgrade Before upgrading to Australia, review and complete any required pre- and post-upgrade tasks to ensure smooth transition and leverage new features effectively. Pay special attention to security settings such as mTLS for KAA validation and familiarize yourself with the new Usage Analytics dashboard to monitor model performance post-upgrade. ## What Customers Can Expect Upgrading through these releases equips your instance with enhanced model transparency, improved classification accuracy, better error monitoring, modernized UI themes, and robust security controls. These improvements collectively provide deeper insights into AI model behavior, facilitate operational monitoring, and help maximize the business value of Predictive Intelligence solutions in your ServiceNow environment. Consolidated page of all release notes for Predictive Intelligence from Xanadu to Australia. Predictive Intelligence was previously called Agent Intelligence. ## 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. {#dfrn3-predictiveintelligence-summary__entry__2} | 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. {#dfrn3-predictiveintelligence-summary__entry__12} | Release | Release notes | |-|-| | Xanadu | No updates for this release. | | Yokohama | [Model Explainability](https://www.servicenow.com/docs/access?context=predictive-intel-explainability&family=yokohama&ft:locale=en-US) : 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](https://www.servicenow.com/docs/access?context=configuring-advanced-settings-ml-solutions&family=yokohama&ft:locale=en-US), from Yokohama Patch 4. : * [Configure include only top N labels](https://www.servicenow.com/docs/access?context=predictive-intel-only-top-n-labels&family=yokohama&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-minimum-records-needed-label&family=yokohama&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-remove-others-label&family=yokohama&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-lightgbm-algo&family=yokohama&ft:locale=en-US). Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. * [Config parameters for model config in classification](https://www.servicenow.com/docs/access?context=predictive-intel-config-parameters-classification&family=yokohama&ft:locale=en-US). Customize training behavior by including a dictionary of parameters in the JSON format. | | Zurich | [Review any errors in predictions using the Observability Dashboard](https://www.servicenow.com/docs/access?context=prediction-errors-observability-dashboard&family=zurich&ft:locale=en-US) : 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](https://www.servicenow.com/docs/access?context=configuring-advanced-settings-ml-solutions&family=zurich&ft:locale=en-US) : Customize your classification models in Predictive Intelligence with the following advanced options. * [Configure include only top N labels](https://www.servicenow.com/docs/access?context=predictive-intel-only-top-n-labels&family=zurich&ft:locale=en-US): 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](https://www.servicenow.com/docs/access?context=predictive-intel-minimum-records-needed-label&family=zurich&ft:locale=en-US): 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](https://www.servicenow.com/docs/access?context=predictive-intel-remove-others-label&family=zurich&ft:locale=en-US): 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](https://www.servicenow.com/docs/access?context=predictive-intel-lightgbm-algo&family=zurich&ft:locale=en-US): Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. * [Config parameters for model config in classification](https://www.servicenow.com/docs/access?context=predictive-intel-config-parameters-classification&family=zurich&ft:locale=en-US): Customize training behavior by including a dictionary of parameters in the JSON format. | | Australia | Sys property: [ML Trainer - Glide communication KAA](https://www.servicenow.com/docs/access?context=predictive-intelligence-properties&family=australia&ft:locale=en-US) : A sys property (glide.platform_ml.kaa_auth_enabled) implements KAA validation to the ML Trainer server. KAA validation occurs only if mTLS is enabled on the instance. If this property is enabled but mTLS isn't enabled, the KAA validation is skipped. Default value is true (from the Australia release). [Predictive Intelligence Usage Analytics dashboard](https://www.servicenow.com/docs/access?context=predictive-intel-usage-analytics&family=australia&ft:locale=en-US) : 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. {#dfrn3-predictiveintelligence-summary__entry__22} | Release | Release notes | |-|-| | Xanadu | [Leverage new advanced options for classification solutions](https://www.servicenow.com/docs/access?context=configuring-advanced-settings-ml-solutions&family=xanadu&ft:locale=en-US), 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](https://www.servicenow.com/docs/access?context=predictive-intel-only-top-n-labels&family=xanadu&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-minimum-records-needed-label&family=xanadu&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-remove-others-label&family=xanadu&ft:locale=en-US). 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](https://www.servicenow.com/docs/access?context=predictive-intel-lightgbm-algo&family=xanadu&ft:locale=en-US). Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models. * [Config parameters for model config in classification](https://www.servicenow.com/docs/access?context=predictive-intel-config-parameters-classification&family=xanadu&ft:locale=en-US). Customize training behavior by including a dictionary of parameters in the JSON format. | | Yokohama | No updates for this release. | | Zurich | Coral theme : Coral is now the default theme for new portal, web, and mobile experiences with Next Experience or Core UI enabled. This theme provides a fresh look and feel, featuring brand-neutral illustrations to enhance your user experience. A dark theme option is available for web and mobile experiences. 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. {#dfrn3-predictiveintelligence-summary__entry__32} | 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. {#dfrn3-predictiveintelligence-summary__entry__42} | 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](https://www.servicenow.com/docs/access?context=review-solution-statistics&family=xanadu&ft:locale=en-US). | | 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](https://www.servicenow.com/docs/access?context=itsm-predictive-intelligence-workbench-rn&family=yokohama&ft:locale=en-US). | | Zurich | No updates for this release. | | Australia | No updates for this release. | [ ] ## Activation information Review information on how to activate Predictive Intelligence. {#dfrn3-predictiveintelligence-summary__entry__52} | 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](https://www.servicenow.com/docs/access?context=install-predictive-intelligence&family=xanadu&ft:locale=en-US). | | Yokohama | Activation information : 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](https://www.servicenow.com/docs/access?context=install-predictive-intelligence&family=yokohama&ft:locale=en-US). | | Zurich | Activation information : Predictive Intelligence is a ServiceNow AI Platform feature that is active by default. | | Australia | Activation information : 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. {#dfrn3-predictiveintelligence-summary__entry__62} | 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. {#dfrn3-predictiveintelligence-summary__entry__72} | 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. {#dfrn3-predictiveintelligence-summary__entry__82} | Release | Release notes | |-|-| | Xanadu | No updates for this release. | | Yokohama | No updates for this release. | | Zurich | Accessibility information : Dark theme : The new Coral theme includes a dark theme option for web and mobile experiences. This option is commonly used to alleviate eye strain and improve readability. | | Australia | No updates for this release. | [ ] ## Localization information If there are specific localization considerations for Predictive Intelligence we have noted them here. {#dfrn3-predictiveintelligence-summary__entry__92} | 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. {#dfrn3-predictiveintelligence-summary__entry__102} | 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](https://www.servicenow.com/docs/access?context=predictive-intelligence-landing&family=xanadu&ft:locale=en-US) 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](https://www.servicenow.com/docs/access?context=predictive-intelligence-landing&family=yokohama&ft:locale=en-US) 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](https://www.servicenow.com/docs/access?context=predictive-intelligence-landing&family=zurich&ft:locale=en-US) 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. * The sys property ML Trainer - Glide communication KAA (glide.platform_ml.kaa_auth_enabled) implements KAA validation when mTLS is enabled. See [Predictive Intelligence](https://www.servicenow.com/docs/access?context=predictive-intelligence-landing&family=australia&ft:locale=en-US) for more information. | [ ]