--- sourceDocument: zurich Combined Product Files sourceDocumentLink: https://www.servicenow.com/docs/r/zurich/delta-yokohama-zurich Release : - zurich ft:locale : - en-US ft:publication_title : - zurich Combined Product Files ft:clusterId : - delta3zy bundleId : - delta3zy --- # Combined Predictive Intelligence release notes for upgrades from Yokohama to Zurich # Combined Predictive Intelligence release notes for upgrades from Yokohama to Zurich {#ariaid-title1} Release version: Zurich Updated October 8, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 5 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 Zurich This consolidated guide provides ServiceNow customers with important information about upgrading Predictive Intelligence (formerly Agent Intelligence) from the Yokohama release family to Zurich. It highlights new features, changes, deprecated elements, and activation notes to help you prepare and make the most of Predictive Intelligence capabilities throughout your upgrade process. Show full answer Show less ## New Features * **Model Explainability (Yokohama):** Enables understanding of which classes most influence model predictions within Workflow Classification solutions via a new Feature Importance tab. * **Advanced Classification Options (Yokohama Patch 4 and Zurich):** Allows customization of classification models using options such as: * Restricting models to top N most frequent labels * Setting minimum record thresholds for label inclusion * Removing "others" label data to reduce noise and improve accuracy * Using the LightGBM (Light Gradient-Boosting Machine) algorithm for model training * Incorporating JSON-formatted configuration parameters for tailored training behavior * **Observability Dashboard (Zurich):** Introduces a dashboard that monitors and analyzes prediction errors using data from a dedicated error logging table, enhancing error visibility and model reliability. ## Changes * **Coral Theme (Zurich):** New default theme for portals, web, and mobile experiences, featuring brand-neutral illustrations and including a dark mode option for improved usability and accessibility. * **Validation Logic (Zurich):** Added checks to ensure Predictive Intelligence has the necessary Access Control Lists (ACLs) for data tables, reducing errors during model training. ## Deprecations * **ITSM Predictive Intelligence Workbench (Yokohama):** This Workbench is deprecated and no longer supported. Customers should use the Task Intelligence for ITSM application (com.snc.itsmmltask) for the latest ITSM predictive capabilities. ## Activation and Requirements * **Activation:** In Yokohama, Predictive Intelligence required manual activation of the plugin (com.glide.platformml). In Zurich, it is enabled by default as part of the ServiceNow AI Platform. * **Additional and Browser Requirements:** No changes or new requirements were introduced from Yokohama to Zurich. ## Accessibility and Localization * **Dark Theme Accessibility:** The Zurich Coral theme includes a dark mode option for web and mobile to reduce eye strain and enhance readability. * **Localization:** No updates or changes were noted. ## Key Outcomes for ServiceNow Customers * Gain deeper insights into model predictions through Model Explainability, enabling more transparent AI decision-making. * Improve classification model accuracy and customization with new advanced options and the LightGBM algorithm. * Monitor prediction errors effectively using the Observability Dashboard, supporting proactive model management. * Benefit from a modernized user experience with the Coral theme and dark mode, enhancing usability and accessibility. * Ensure smooth upgrades with validation logic that prevents common ACL-related errors during model training. * Transition smoothly from deprecated ITSM Predictive Intelligence Workbench to the supported Task Intelligence for ITSM application. Consolidated page of all release notes for Predictive Intelligence from Yokohama to Zurich. 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 Zurich. 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 Zurich Before you upgrade to Zurich, 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. | [ ] ## New features Between your current release family and Zurich, new features were introduced for Predictive Intelligence. {#dfrn3-predictiveintelligence-summary__entry__8} | 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. | [ ] ## Changes Between your current release family and Zurich, some changes were made to existing Predictive Intelligence features. {#dfrn3-predictiveintelligence-summary__entry__14} | 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. | [ ] ## Removed Between your current release family and Zurich, some Predictive Intelligence features or functionality were removed. {#dfrn3-predictiveintelligence-summary__entry__20} | Release | Release notes | |-|-| | Yokohama | No updates for this release. | | Zurich | No updates for this release. | [ ] ## Deprecations Between your current release family and Zurich, some Predictive Intelligence features or functionality were deprecated. {#dfrn3-predictiveintelligence-summary__entry__26} | 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. | [ ] ## Activation information Review information on how to activate Predictive Intelligence. {#dfrn3-predictiveintelligence-summary__entry__32} | 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. | [ ] ## Additional requirements If any additional requirements were introduced or changed for Predictive Intelligence we have noted them here. {#dfrn3-predictiveintelligence-summary__entry__38} | Release | Release notes | |-|-| | Yokohama | No updates for this release. | | Zurich | 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__44} | Release | Release notes | |-|-| | Yokohama | No updates for this release. | | Zurich | 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__50} | 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. | [ ] ## Localization information If there are specific localization considerations for Predictive Intelligence we have noted them here. {#dfrn3-predictiveintelligence-summary__entry__56} | Release | Release notes | |-|-| | Yokohama | No updates for this release. | | Zurich | 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__62} | 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. | [ ]