--- sourceDocument: australia Combined Product Files sourceDocumentLink: https://www.servicenow.com/docs/r/australia/delta-yokohama-australia Release : - australia ft:locale : - en-US ft:publication_title : - australia Combined Product Files ft:clusterId : - delta3ay bundleId : - delta3ay --- # Combined Predictive Intelligence release notes for upgrades from Yokohama to Australia # Combined Predictive Intelligence release notes for upgrades from Yokohama to Australia {#ariaid-title1} Release version: Australia Updated October 8, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 6 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 Yokohama to Australia This consolidated guide covers all the key updates, features, changes, and activation details for Predictive Intelligence as you upgrade from the Yokohama release to the Australia release. Previously known as Agent Intelligence, Predictive Intelligence enhances your ability to apply machine learning for classification and prediction within ServiceNow. The notes assist you in preparing for the upgrade by summarizing important enhancements and considerations across multiple releases. Show full answer Show less ## New Features * **Yokohama Release** * **Model Explainability:** Enables insight into which classes most influence model predictions via a *Feature Importance* tab in Workflow Classification solutions. * **Advanced Classification Options:** Added controls to limit labels by frequency, set minimum record thresholds for label inclusion, remove "others" labels to reduce noise, and enable the LightGBM algorithm for model training. * **Configurable Parameters:** Supports JSON-formatted dictionaries to customize classification model training behavior. * **Zurich Release** * **Observability Dashboard:** Introduces a dedicated errors table and dashboard to monitor and analyze prediction errors. * **Advanced Classification Options:** Continues enhancements from Yokohama including label filtering, noise reduction, LightGBM usage, and parameter customization. * **Australia Release** * **KAA Validation for ML Trainer:** A system property (glide.platformml.kaaauthenabled) adds KAA validation for ML Trainer server communication when mTLS is enabled, enhancing security. * **Predictive Intelligence Usage Analytics Dashboard:** Provides centralized metrics on solution adoption, effectiveness, and prediction volume to help track usage and value. ## Changes * **Zurich Release** * **Coral Theme:** New default theme for portals and mobile/web experiences with a fresh, brand-neutral look and an optional dark mode to improve readability. * **Data Access Validation:** New validation logic ensures Predictive Intelligence models have proper ACL permissions to access required data tables, reducing training errors. ## Deprecations * **Yokohama Release** * The *ITSM Predictive Intelligence Workbench* is deprecated and no longer supported. Customers are advised to install the *Task Intelligence for ITSM* application for the latest capabilities. ## Activation and Requirements * Predictive Intelligence is a ServiceNow AI Platform feature active by default in Zurich and Australia releases. For Yokohama, activation requires enabling the *Predictive Intelligence plugin (com.glide.platformml)*. * No additional browser, localization, or accessibility updates were introduced between Yokohama and Australia releases, except the addition of a dark theme option with the Coral theme in Zurich. ## Practical Benefits for ServiceNow Customers * Gain improved transparency into model predictions with Model Explainability to build trust and refine models effectively. * Utilize advanced classification options and LightGBM algorithm for better accuracy and noise reduction in predictive models. * Monitor prediction errors and model health via the Observability Dashboard, enabling proactive troubleshooting. * Track solution adoption and performance through the new Usage Analytics dashboard to measure ROI and usage trends. * Ensure security compliance with KAA validation when using ML Trainer over mTLS connections. * Enjoy enhanced user experience with updated UI themes and accessibility features. Review and complete the recommended pre- and post-upgrade tasks to ensure a smooth transition to the Australia release of Predictive Intelligence. Consolidated page of all release notes for Predictive Intelligence from Yokohama 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 Yokohama 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 | |-|-| | 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__10} | Release | Release notes | |-|-| | 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__18} | Release | Release notes | |-|-| | 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__26} | Release | Release notes | |-|-| | 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__34} | Release | Release notes | |-|-| | 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__42} | Release | Release notes | |-|-| | 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__50} | Release | Release notes | |-|-| | 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__58} | Release | Release notes | |-|-| | 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__66} | Release | Release notes | |-|-| | 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__74} | Release | Release notes | |-|-| | 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__82} | Release | Release notes | |-|-| | 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. | [ ]