Announcing the next chapter of data excellence

Unveiling ibi^™ Data Intelligence version 2.0

As we look toward the future, one defined by the rapid rise of generative AI and the need for immediate, trustworthy insights, we are evolving our technology to meet these new challenges. We are proud to introduce ibi^™ Data Intelligence (DI) 2.0. To simplify how our customers acquire these advanced capabilities, ibi Data Intelligence is now available through the ibi^™ WebFOCUS® Data & Analytics Platform. While Data Intelligence remains a specialized, separately accessed product designed for deep data management, it is now part of a unified purchasing strategy. This ensures that every organization has the tools to master their data as part of their broader analytics journey.

A unified approach to the data lifecycle

By including Data Intelligence as part of the WebFOCUS® Data & Analytics Platform, ibi is aligning the first mile of data quality with the last mile of business insights. This is with the recognition that modern analytics cannot thrive without high-quality, mastered data. By offering this suite of products in a single platform offering, this ensures that trust is the standard for your entire organization, providing your teams with the necessary tools for both data management and advanced visualization.

Building armor for the AI-augmented future

As we look toward the rise of AI-augmented analytics, the stakes have never been higher. We’ve all heard the old adage of “garbage in, garbage out," but in an AI-driven environment, the risks are amplified. AI and predictive models are highly sensitive to inconsistencies. If a model is trained on data with hidden duplicates or inconsistent labeling, its predictions run the risk of being off the mark. Even worse, they may be confidently wrong.

If you are the one presenting those AI-driven insights, you need professional armor. Utilizing an integrated approach to data quality ensures that the fuel powering your predictive models is accurate and consistent. This moves you beyond reactive reporting and into a space of mission-ready decision-making. It gives you the confidence to stand behind your results, knowing that the AI is seeing a real trend, not a data anomaly you missed.

Enhancing the mastering experience with machine learning

DI 2.0 builds upon the longstanding foundation of ibi data tools by introducing machine learning-driven deduplication to make the process even more efficient. While you can leverage a vast number of out-of-the box rules in DI, you also have the ability to expand beyond those rules with standardized Python routines. 

By showing the system examples of matching records through the dedicated DI interface, the ML engine learns to identify patterns and fuzzy matches automatically. This reduces the manual effort required to maintain complex mastering logic, allowing your team to scale their data efforts without increasing their workload.

Streamlining workflows for the experts close to the data

We’ve designed the DI 2.0 environment to make the day-to-day lives of our users easier. By introducing a refined workspace, we are making it simpler for subject matter experts to participate in the quality process.

Accessible data management: Those closest to the business problems can now apply quality rules and create pipelines that would previously require advanced technical skills.

Self-service profiling: Within the DI 2.0 UI, business users can instantly profile data to identify quality gaps without the need for an IT project or resource.

Focus on strategy: This shift allows the business to handle routine data stewardship, freeing you to focus on high-level architecture and complex integration projects.

Faster delivery through runtime bundles

To help you keep pace with the speed of modern business, DI 2.0 uses runtime bundles. We have unified the integration and quality layers so that everything you build—from transformation logic to ML models—can be packaged and deployed to the Data Integration Server with a few clicks.

This streamlined deployment significantly reduces the time it takes to move from a raw data source to a production-ready data product, often shrinking project timelines from 12–18 months down to just 3–6 months.

Building the foundation for trusted AI

We know that many of our customers are looking toward generative AI and autonomous agents. The reality is that these innovations are only as good as the data that fuels them. Data Intelligence provides the clean, structured metadata and high-fidelity golden records that modern AI requires to be reliable. By evolving to version 2.0, you are ensuring that your organization's AI initiatives are built on the most stable and trusted foundation possible.

Embracing the future

We are committed to making the transition to DI 2.0 as seamless as possible for our long-term customers:

• Standardized extensibility: DI 2.0 supports standard Python routines, allowing you to transform your custom logic into a modern, widely-supported language.
• Deployment flexibility: Native support for on-premise, cloud, and hybrid environments, ensuring you have the security and control your organization demands.
• Direct influence: As an existing user, your feedback is invaluable. Ask our team how you can join our Customer Advisory Board to help shape the future of the DI 2.0 roadmap.

With Data Intelligence 2.0 and its new home within the WebFOCUS Data & Analytics Platform, we are excited to see how that pillar evolves to support the next generation of data-driven innovation.

The recent release of ibi^™ Data Intelligence version 2.0 occurred in parallel with the announcement of the upcoming end of support for certain ibi™ Omni-Gen® products on  November 30, 2026. For more information, including available Extended Support options,  please refer to the support article KB0138202 found here. Current Omni-Gen customers are encouraged to join our ibi Data Intelligence Conversion Program by filling out the form here.