--- sourceDocument: brazil Combined Product Files sourceDocumentLink: https://www.servicenow.com/docs/r/delta-zurich-brazil Release : - brazil ft:locale : - en-US ft:publication_title : - brazil Combined Product Files ft:clusterId : - delta3bz bundleId : - delta3bz --- # Combined Predictive Intelligence release notes for upgrades from Zurich to Brazil # Combined Predictive Intelligence release notes for upgrades from Zurich to Brazil {#ariaid-title1} Release version: Brazil 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 Zurich to Brazil This consolidated release notes document provides ServiceNow customers with a comprehensive view of Predictive Intelligence enhancements, changes, and upgrade considerations from the Zurich through Brazil releases. Previously known as Agent Intelligence, Predictive Intelligence leverages machine learning to automate and optimize processes such as case field population, work categorization, routing, resolution recommendations, and incident analysis. Show full answer Show less The page serves as a practical guide for preparing, executing, and validating upgrades, highlighting key new features, changes, and activation details across these releases. ## Key Features * **Zurich Release:** * Error monitoring via the new Observability Dashboard that uses a dedicated error-logging table for prediction analysis. * Advanced classification model customization options, including: * Limiting models to top N labels * Setting minimum record thresholds for labels * Removing "others" labels to reduce noise * Using LightGBM algorithm for classification training * Configuring model parameters via JSON dictionaries * Coral theme introduction as the default UI theme with dark mode options for portal, web, and mobile experiences. * Validation logic to ensure ACLs grant Predictive Intelligence access to data tables, reducing training errors. * **Australia Release:** * Predictive Intelligence Usage Analytics dashboard providing metrics on adoption, effectiveness, and prediction counts. * System property (glide.platformml.kaaauthenabled) implementing KAA validation for ML Trainer server when mutual TLS (mTLS) is enabled. * **Brazil Release:** * Test time explainability feature for classification solutions, allowing users to understand feature influence on individual predictions, supported by example scripts. * Predictive Intelligence remains active by default as part of the ServiceNow AI Platform. ## Changes and Enhancements * Coral theme with dark mode enhances user experience and readability. * Validation logic introduced to check ACL configurations on data tables used by Predictive Intelligence models, reducing training errors. * Enhanced observability and analytics through dedicated error logging and dashboards improve model monitoring and troubleshooting. * Introduction of advanced classification model options and a new training algorithm (LightGBM) improve prediction accuracy and customization. ## Upgrade and Activation Considerations * No deprecated or removed features were noted between Zurich and Brazil releases, ensuring smooth functional continuity. * Predictive Intelligence activation is automatic and enabled by default across all releases. * Pre- and post-upgrade tasks should be reviewed carefully to ensure ACL configurations and system properties are correctly set for optimal operation. * No changes to browser requirements or localization were introduced in these releases. ## Practical Benefits for ServiceNow Customers Upgrading to the Brazil release enables customers to: * Gain deeper insights into prediction errors and model behavior via enhanced dashboards and observability tools. * Improve classification accuracy and model customization through new advanced options and algorithms. * Monitor adoption and usage trends of Predictive Intelligence solutions with the Usage Analytics dashboard. * Understand individual prediction explanations to build trust and transparency in AI-driven decisions. * Benefit from improved UI experiences with the Coral theme and accessible dark mode options. Consolidated page of all release notes for Predictive Intelligence from Zurich 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 Zurich 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 | |-|-| | 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__10} | Release | Release notes | |-|-| | 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__18} | Release | Release notes | |-|-| | 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__26} | Release | Release notes | |-|-| | 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__34} | Release | Release notes | |-|-| | 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__42} | Release | Release notes | |-|-| | 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__50} | Release | Release notes | |-|-| | 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__58} | Release | Release notes | |-|-| | 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__66} | Release | Release notes | |-|-| | 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__74} | Release | Release notes | |-|-| | 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__82} | Release | Release notes | |-|-| | 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. | [ ]