Predictive Intelligence release notes
Summarize
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 Predictive Intelligence release notes - Zurich Release
The ServiceNow® Predictive Intelligence application empowers you to build and train machine learning models to enhance system performance, efficiency, and flexibility. The Zurich release introduces significant enhancements focused on improved error monitoring, advanced classification model options, and strengthened data access validation.
Show less
Key Features
- Error Monitoring and Observability Dashboard: Prediction errors are now logged in a dedicated table, enabling comprehensive analytics through the new PI - Observability Dashboard. This helps you review and monitor prediction errors effectively to improve model reliability.
- Advanced Classification Model Options: Enhanced customization for classification models includes:
- Limiting the model to the top N most frequent labels to focus training.
- Setting a minimum record threshold for labels to qualify for inclusion.
- Removing records labeled as "others" to reduce noise and increase accuracy.
- Enabling the LightGBM (Light Gradient-Boosting Machine) algorithm for improved classification training.
- Allowing JSON-formatted configuration parameters to fine-tune training behavior.
- Validation Logic for Data Access: New validation ensures that data tables used by Predictive Intelligence models have proper ACL (Access Control List) permissions, reducing training errors caused by insufficient access rights.
- UI Enhancements: Introduction of the Coral theme as the default for portals, web, and mobile experiences with Next Experience or Core UI enabled. This includes brand-neutral illustrations and a dark theme option to improve usability and reduce eye strain.
Key Outcomes for ServiceNow Customers
- Improved visibility into prediction errors through the Observability Dashboard enables faster troubleshooting and model refinement.
- Advanced classification options provide greater control over model training, leading to more accurate and relevant predictions tailored to your datasets.
- Validation of ACLs on data tables minimizes training failures due to access issues, ensuring smoother model deployment and operation.
- The updated UI with Coral and dark theme options enhances the user experience across devices, supporting better engagement and accessibility.
- Predictive Intelligence remains active by default, simplifying adoption and integration with related ServiceNow AI features such as Now Assist in Document Intelligence and Task Intelligence.
The ServiceNow® Predictive Intelligence application enables you to create and train machine learning models to help improve the performance, efficiency, and flexibility of your systems. Predictive Intelligence was enhanced and updated in the Zurich release.
Predictive Intelligence highlights for the Zurich release
- 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 for more information.
New in the Zurich release
- Review any errors in predictions using the Observability Dashboard
- 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
- Customize your classification models in Predictive Intelligence with the following advanced options.
- Configure include only top N labels: 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: 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: 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: Enable the LightGBM (Light Gradient-Boosting Machine) algorithm for training classification models.
- Config parameters for model config in classification: Customize training behavior by including a dictionary of parameters in the JSON format.
UI changes
- 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.
Changed in this release
- 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.
Activation information
Predictive Intelligence is a ServiceNow AI Platform feature that is active by default.
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.