Now Assist in Platform Analytics release notes
Summarize
Summary of Now Assist in Platform Analytics Release Notes - Australia Release
Now Assist in Platform Analytics leverages generative AI skills and applications to enable users to interact with and analyze Platform Analytics data conversationally, without requiring technical expertise. The Australia release introduces significant enhancements to improve data exploration, integration, collaboration, and customization capabilities within the Now Assist in Platform Analytics suite.
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Key Features
- AI-Generated Insights: Users can ask natural language questions and receive documented insights and visualizations. The system offers guided analysis with suggested follow-up questions and supports two analysis modes—Standard and Extended—for deeper data exploration.
- Integration with External Data: Supports expanded data sources and seamless integration with external systems via Data Fabric tables, enabling more comprehensive cross-company insights.
- Document Editing and Organization: Allows users to collect, edit, and organize insights directly within their data explorations to craft precise data narratives.
- Collaboration: Facilitates real-time, multi-user collaboration in shared spaces to refine analyses, align on insights, and accelerate data-driven decision-making.
- Smart Integration with Contextual Intelligence: AI Data Explorer can be triggered instantly from any application, list, or data visualization, providing context-aware insights based on usage patterns.
- Customization of Semantic Metadata: Users can customize semantic descriptions and usage instructions in configuration tables, with changes transferable between instances via update sets.
- Segment Enhancements: Segments now support complex conditions, domain separation, and manual creation with prioritized ranking over autogenerated segments. Segment handling improvements reduce noise and increase accuracy in data exploration.
- Support for FX Currency Data: Query Generation now supports FXCurrency data types, enabling exploration of financial data such as Source-to-Pay operations.
- Accessibility Improvements: Enhanced keyboard navigation and control menu options improve usability within AI Data Explorer.
Key Outcomes
- Users can explore and analyze business data more intuitively through natural language queries and AI-driven insights, reducing reliance on technical skills.
- Expanded data source integration enables holistic analytics across diverse and external datasets.
- Collaborative and document editing features promote shared understanding and faster data-driven decisions within teams.
- Customization and improved segment logic allow for more precise, relevant, and domain-aware analysis.
- Immediate access to contextual insights from any application context enhances productivity and decision quality.
- Support for financial data types broadens the scope of analytics use cases within the platform.
- Accessibility enhancements ensure a smoother user experience for a broader range of users.
Activation and Availability
Now Assist in Platform Analytics applications are available by default or can be installed from the ServiceNow Store. Customers should consult the activation information in the release notes and the ServiceNow Store for installation guidance and version history.
Now Assist in Platform Analytics consists of several skills and applications that let you generate and work with Platform Analytics objects through generative AI. These skills let you analyze your business data through conversational interactions, without a technical knowledge of Platform Analytics. Now Assist in Platform Analytics applications were enhanced and updated in the Australia release.
Now Assist in Platform Analytics highlights for the Australia release
- AI-Generated Insights: Ask questions in natural language and see them turned into documented insights and visualizations. AI guides your analysis and suggests follow-up questions to deepen your exploration. Switch between two powerful modes, Standard analysis and Extended analysis, to uncover hidden insights.
- Integration with External Data: Extend supported data sources and enable seamless integration with external systems through Data Fabric tables to gain more complete insights across the company’s diverse data.
- Document Editing and Organization: Shape your data story exactly as you need it. Collect, edit, and organize insights directly within your exploration.
- Collaboration with Other Users: Transform data analysis by working simultaneously with colleagues in a shared space to refine analyses, align on insights, and accelerate data-driven decisions.
- Smart Integration with Contextual Intelligence: Trigger AI Data Explorer instantly from any application, list, or data visualization to access powerful insights enhanced by contextual awareness and usage patterns to highlight the data that matter most to you.
See Now Assist in Platform Analytics for more information.
Changed in this release
- Australia Patch 2
- Explore data from protected scopes
- Provide access to protected application scopes to AI Data Explorer and Query Generation, and you can use data from those application tables in explorations. (Query Generation bundle 5.2)
- Improvements to how segments are handled
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- Manual segments are re-ranked to take priority over automatically generated segments.
- Prompt changes made to better support manual segments.
- More segments are passed to the LLM to increase the chance of the correct segment getting selected. Twelve segments are passed instead of three.
- Segments longer than 2000 characters are dropped to prevent context window bloat.
(Query Generation bundle 5.2)
- Australia Patch 1
- Customize semantic metadata in configuration tables
- Customize semantic descriptions and usage instructions in the table and column configuration tables. Unlike the previous method of editing Entity and Dimension records, these changes can be transferred between instances through update sets.
- View recommended actions
- AI Data Explorer can suggest actions based on the insights that it generates in an exploration.
- Ask questions about FX currency data
- Query Generation now supports the FXCurrency (Currency 2) data type. This means that you can use AI Data Explorer to explore financial operations data, including those within Source-to-Pay Operations.
- Benefit from improvements to segments
- Segments are reusable definitions in Query Generation that provide non-obvious context to assist the semantic layer or LLM to select the correct dimension and values. Users can create manual segments via a new form. A scheduled job synchronizes
manual and autogenerated segments. This job also cleans up segments to help surface the correct segments and reduce noise.
Manual segments are re-ranked to take priority over automatically generated segments.
Domain separation is also now supported, with a Domain field on the Segments table. Segments based on reports and filters inherit the source domain. Manual segments have domains that are passed up to the Segments table on synchronization. Segments aren't supported for modules on domain-separated instances.
Activation information
Now Assist applications for Platform Analytics are either included by default or you can install them from the ServiceNow Store. Visit the ServiceNow Store to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the ServiceNow Store version history release notes.
Accessibility information
- (June 2026 AI Data Explorer) Keyboard navigation allows tabbing between the text editor and the icons.
- (June 2026 AI Data Explorer) Users can use move up/move down control menu items to change the order of question/response nodes in the exploration. Previously they could only drag the nodes.