--- sourceDocument: brazil Combined Product Files sourceDocumentLink: https://www.servicenow.com/docs/r/delta-yokohama-brazil Release : - brazil ft:locale : - en-US ft:publication_title : - brazil Combined Product Files ft:clusterId : - delta3by bundleId : - delta3by --- # Combined Predictive Intelligence release notes for upgrades from Yokohama to Brazil # Combined Predictive Intelligence release notes for upgrades from Yokohama to Brazil {#ariaid-title1} Release version: Brazil Updated October 8, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 7 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 Brazil These release notes consolidate all updates, new features, changes, deprecations, and activation details for ServiceNow Predictive Intelligence from the Yokohama through Brazil releases. Predictive Intelligence, formerly known as Agent Intelligence, leverages machine learning to improve case handling, routing, and resolution recommendations. This summary helps you prepare for upgrading to Brazil by highlighting key enhancements and important considerations across these releases. Show full answer Show less ## New Features * **Model Explainability (Yokohama):** Enables you to identify which classes most influence your model's predictions via a Feature Importance tab in Workflow Classification solutions, aiding transparency and trust in AI outputs. * **Advanced Classification Options (Yokohama Patch 4 and Zurich):** Introduces configuration settings to refine classification models, such as limiting labels to the top N most frequent, setting minimum record thresholds for labels, removing "others" label noise, enabling the LightGBM algorithm for improved model training, and allowing JSON-based parameter customization. * **Observability Dashboard (Zurich):** Provides analytics on prediction errors by logging them in a dedicated table, helping you monitor and troubleshoot model performance. * **ML Trainer Security (Australia):** Adds a system property to enable KAA authentication validation for ML Trainer communication when mutual TLS is enabled, enhancing security. * **Usage Analytics Dashboard (Australia):** Offers insights into adoption, effectiveness, and overall value of Predictive Intelligence solutions through metrics like total monthly prediction counts by solution type. * **Test Time Explainability (Brazil):** Allows you to see which input features influenced a specific classification prediction, improving model transparency and user understanding. ## Changes * **Coral Theme (Zurich):** Introduces Coral as the default theme for portals and user interfaces with fresh, brand-neutral visuals and an optional dark mode to improve usability. * **Validation Logic (Zurich):** Adds checks to ensure Predictive Intelligence models have appropriate Access Control Lists (ACLs) to the data tables they use, reducing training errors. ## Deprecations * **ITSM Predictive Intelligence Workbench (Yokohama):** Deprecated and unsupported. Recommended to use the Task Intelligence for ITSM application for the latest functionality. ## Activation and Requirements * Predictive Intelligence is a ServiceNow AI Platform feature activated by default in Zurich, Australia, and Brazil releases. In Yokohama, activation required enabling the Predictive Intelligence plugin. * No additional browser or localization requirements were introduced between Yokohama and Brazil. ## Accessibility * The Coral theme includes a dark mode option to reduce eye strain and enhance readability for web and mobile users. ## Practical Benefits for ServiceNow Customers * Gain deeper insights into machine learning model behavior and predictions through explainability features. * Improve model accuracy and reduce noise by customizing label inclusion and training algorithms. * Monitor model health and errors proactively with the Observability and Usage Analytics dashboards. * Enhance security during ML Trainer communications with KAA authentication when applicable. * Leverage machine learning to automate case field population, categorization, routing, resolution recommendations, and incident identification. Consolidated page of all release notes for Predictive Intelligence from Yokohama to Brazil. 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 Brazil. 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 Brazil Before you upgrade to Brazil, 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. | | Brazil | No updates for this release. | [ ] ## New features Between your current release family and Brazil, new features were introduced for Predictive Intelligence. {#dfrn3-predictiveintelligence-summary__entry__12} | 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. | | Brazil | [Test time explainability](https://www.servicenow.com/docs/access?context=predictive-intel-test-time-explain&family=brazil&ft:locale=en-US) : Understand the reasons your machine learning solution made a specific prediction with Test time explainability, which returns a list of input features that influenced the prediction. Applies to Classification solutions only. Example script provided. | [ ] ## Changes Between your current release family and Brazil, some changes were made to existing Predictive Intelligence features. {#dfrn3-predictiveintelligence-summary__entry__22} | 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. | | Brazil | No updates for this release. | [ ] ## Removed Between your current release family and Brazil, some Predictive Intelligence features or functionality were removed. {#dfrn3-predictiveintelligence-summary__entry__32} | Release | Release notes | |-|-| | Yokohama | No updates for this release. | | Zurich | No updates for this release. | | Australia | No updates for this release. | | Brazil | No updates for this release. | [ ] ## Deprecations Between your current release family and Brazil, some Predictive Intelligence features or functionality were deprecated. {#dfrn3-predictiveintelligence-summary__entry__42} | 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. | | Brazil | No updates for this release. | [ ] ## Activation information Review information on how to activate Predictive Intelligence. {#dfrn3-predictiveintelligence-summary__entry__52} | 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. | | Brazil | Activation information : Predictive Intelligence is a ServiceNow AI Platform feature that is active by default. For details see [Install Predictive Intelligence](https://www.servicenow.com/docs/access?context=install-predictive-intelligence&family=brazil&ft:locale=en-US). | [ ] ## 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 | |-|-| | Yokohama | No updates for this release. | | Zurich | No updates for this release. | | Australia | No updates for this release. | | Brazil | 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 | |-|-| | Yokohama | No updates for this release. | | Zurich | No updates for this release. | | Australia | No updates for this release. | | Brazil | 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 | |-|-| | 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. | | Brazil | 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 | |-|-| | Yokohama | No updates for this release. | | Zurich | No updates for this release. | | Australia | No updates for this release. | | Brazil | 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 | |-|-| | 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. | | Brazil | With Predictive Intelligence you can harness the power of machine learning for use cases such as the following. * Automatically populate fields during case creation. * Categorize and route work based on how records have been handled in the past. * Recommend resolutions to cases that are similar to previous ones. * Identify major outages based on incoming incidents. See [Predictive Intelligence](https://www.servicenow.com/docs/access?context=predictive-intelligence-landing&family=brazil&ft:locale=en-US) for more information. | [ ]