TL:DR: The Bold BI® v15.1.65 release brings multi-language AI experiences, cleaner and more consistent visual rendering, page and lazy loading, new connectors, Star Rocks as a destination, and Python virtual environments.
We’re thrilled to announce that Bold BI v15.165 is now available! This release focuses on making self-service and embedded analytics faster, smarter, and more dependable across your deployments. From multilanguage experiences and improved response quality in AI to a new Star Rocks destination in the Bold Data Hub, the new features in v15.1.65 help teams explore data with greater clarity.
If you want to start using the new version right away, you can download it from your Bold BI account or start a free-trial today if you are new to our product.
AI Highlights
We have introduced powerful AI upgrades that deliver faster performance, greater flexibility, and more accurate insights.
Multilanguage AI support for global teams
Bold BI’s AI Assistant, AI Copilot, and AI Agent now support multiple languages, so users can interact with AI features in their preferred language. This improves accessibility for global teams and makes AI experiences feel more natural.
Smarter query understanding with synonyms
Bold BI now supports synonyms for column names and values, allowing the AI to recognize alternate terms users commonly use, such as understanding “BLBI” as “Bold BI.” This reduces misunderstandings, improves query accuracy, and enables more natural, conversational interactions with your data.
Personalized AI welcome messages for embedded apps
You can now customize AI welcome messages at the embedding level. Teams can tailor greetings based on user context. This creates a more branded, engaging onboarding experience and makes embedded analytics feel native to your product.
Clearer, more context-aware AI Agent responses
The AI Agent now delivers clearer, more accurate, more context-aware responses. Users can get reliable insights faster, reduce back-and-forth clarification, and make confident decisions from easy-to-understand answers.
Direct column selection within the AI Assistant
Users can now select column names directly within the AI Assistant interface. This simplifies query creation, reduces ambiguity, and makes it easier to work with large or complex datasets.
Data Sources and Data Hub Highlights
We’ve enhanced data connectivity to simplify connecting to new sources and ensure more reliable data processing.
More precise Elasticsearch URL filtering
Elasticsearch URL-based filters now support the “.” keyword, helping you create more precise queries. This makes it easier to work with nested fields, refine filter conditions, and extract exactly the data you need for accurate analysis.
More reliable fiscal time-based filtering
Fiscal calculation logic has been updated so Month Year and Month filters work more reliably. This reduces time-based reporting errors and improves confidence in financial trends and period comparisons.
Python virtual environments for stable pipelines
Bold Data Hub now supports Python virtual environments so each pipeline can run with isolated dependencies. This prevents version conflicts, improves stability, and reduces pipeline failures caused by incompatible packages.
Star rocks as a new destination for high-speed analytics
Star Rocks is now supported as a destination, enabling high-performance analytics for real-time and large-scale workloads. This improves query speed, boosts dashboard performance, and helps teams scale analytics smoothly.
Designer and Server Enhancements
We have improved the design experience with faster loading, smoother interactions, and more flexible customization options to help you build dashboards more efficiently.
Modernized dashboard layout with the new V2 grid
Experience a more flexible and responsive design workflow with the new V2 grid, delivering smoother alignment, improved resizing, and a modern layout experience for building dashboards.
Optimized page-wise loading for scrollable dashboards
Enjoy faster dashboard loading with a new Page-Wise Loading option that lets scrollable dashboards load one page at a time. This reduces initial load time and improves performance for dashboards with large amounts of content.
Lazy loading for faster tab rendering
Bold BI now includes a new Enable Lazy Load setting that ensures only widgets in the active tab render initially. Widgets in other tabs load only when opened, resulting in quicker rendering and smoother dashboard interactions.
Better control over date picker behavior
A new Show Custom Option toggle has been provided to let designers show or hide custom relative date selections in the date picker. This helps tailor filters based on the dashboard’s audience and reporting needs.
Granular user and group-level permissions
You can now assign capabilities such as data export, view data, and parameter access at both user and group levels. This provides more precise control and ensures users receive only the permissions they need, strengthening governance and security.
Bulk dashboard movement for easier organization
Move multiple dashboards between categories in a single action with the new bulk-move option. This simplifies content management and helps maintain a well-structured dashboard environment with less manual effort.
IDP Enhancement
Reverse proxy support for multi-domain environments
Bold BI now supports handling requests through a reverse proxy based on the incoming domain. This eliminates the need to rely on the application URL across the platform, simplifying deployment in multi-domain setups. The result is greater flexibility and easier infrastructure management.
Deployment Enhancements
Kubernetes deployment enhancement
Traefik load balancer support is now available for Kubernetes-based deployments, offering a modern, cloud‑native alternative to the traditional NGINX Ingress controller. This enhancement provides improved routing performance, simplified configuration, and broader compatibility with evolving Kubernetes networking standards, ensuring more flexible and reliable traffic management for Bold BI deployments.
Other Bug Fixes and Quality Improvements
Along with the major enhancements, Bold BI v15.1.65 also includes several smaller updates that improve usability and overall experience.
- Bug fix: We corrected the message shown when users click Run before executing the data source in Data Source Preview. The updated message is clearer and provides more helpful guidance, reducing confusion during setup.
- Performance: The AI Assistant now lets users select specific column names directly while writing prompts. This makes refining questions faster, improves prompt accuracy, and supports smoother, more efficient analysis.
Explore Bold BI v15.1.65 new release to learn more.
Real-Time Use Cases Enabled by Bold BI v15.1.65 Release
The release enhancements were designed to solve real, day-to-day analytics challenges faced by modern data teams. Here’s how Bold BI 15.1.65 turns new features into measurable business impact.
Deliver localized analytics for global teams with multi-language AI
- Challenge: Global teams often face low adoption of AI-driven analytics because prompts and responses are available only in a single language. This slows down analysis, increases reliance on intermediaries, and limits self-service across regions.
- Bold BI solution: Bold BI 15.1 introduces multilanguage support in the AI Assistant, AI Copilot, and AI Agent, allowing users to interact with AI features in their preferred language. Improved response clarity and context awareness ensure insights remain accurate and easy to understand.
- Impact: Teams across regions can explore data naturally, increase AI adoption, and make faster decisions with localized, user-friendly analytics experiences.
Speed up dashboard rendering for large, embedded analytics deployments
- Challenge: Large dashboards with multiple widgets and tabs often suffer from slow initial load times, especially in embedded analytics scenarios. Rendering everything at once strains resources and degrades user experience.
- Bold BI solution: By loading scrollable dashboards by page and lazy loading tabbed views, Bold BI 15.1.65 loads only the widgets users need at the moment. This significantly reduces initial rendering time and improves overall performance.
- Impact: Organizations can deliver fast, responsive dashboards at scale, improve embedded analytics performance, and provide a smoother experience for end users.
Build reliable, scalable data pipelines with Python virtual environments
- Challenge: Data pipelines frequently break due to dependency conflicts when different Python scripts require different package versions. This leads to unstable workflows, higher maintenance effort, and delayed analytics delivery.
- Bold BI solution: Bold BI's Bold Data Hub now supports Python virtual environments, allowing each pipeline to run with isolated dependencies. This provides consistent execution, prevents version conflicts, and improves pipeline reliability.
- Impact: Data teams can build more stable and scalable pipelines, reduce failures caused by dependency issues, and deliver real-time metrics with greater confidence.
Conclusion
Bold BI® v15.1.65 is designed to streamline every step of the analytics experience, reducing friction, improving clarity, and helping teams unlock value from their data with far less effort. This release strengthens AI capabilities, delivers smoother embedded analytics, and introduces faster, more consistent dashboard rendering. With upgraded data connectivity, enhanced processing stability, and new Bold Data Hub features built for scalable performance, transforming raw data into reliable, meaningful insights is now simpler than ever.
Curious to see the improvements firsthand? You can download Bold BI v15.1.65 or start a free-trial to explore how these enhancements elevate both self‑service analytics and embedded analytics in real‑world workflows.
Ready to get started? Explore our release history for a full breakdown of what’s new. And if you need guidance or help tailoring Bold BI to your use case, our support team is always ready to assist.
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