With Spotfire 15, the platform takes a clear step forward in its evolution toward an AI augmented, industry native analytics environment. Rather than adding isolated features, this release reshapes how domain experts investigate complex operational systems across data, workflows, and entire industries. The guiding idea is straightforward: accelerate and guide investigation with AI, while keeping the expert firmly in control and grounding every result in trusted, industry standard methods.
Four developments stand out as the headline themes of this release: AI augmented investigation with industry native agents, push compute analytics that run where the data lives, a tightly integrated analytical system that unifies visual, statistical, and model driven analysis, and expanded spatial capabilities for microelectronic, geospatial, and subsurface use cases.
Below is a detailed summary of the most important innovations in Spotfire 15.
AI Augmentation
The central theme of Spotfire 15 is the move to an AI augmented platform. AI accelerates and guides investigation, helping experts move faster from data to insight without replacing their expertise. The emphasis is on transparency and control rather than automation for its own sake.
Visual AI in Context
Spotfire surfaces explainable insights that you can see, explore, and validate within a trusted environment, always in context. Instead of returning answers that have to be taken on faith, the platform highlights patterns, anomalies, and relationships directly within the active visualization, so findings can be checked against the underlying data.
Expert in the Loop
Every recommendation can be accepted, fine tuned, or ignored. This ensures full control, trust, and analytical lineage. The person doing the analysis decides what to act on, and each step remains traceable, which is essential in regulated and quality driven environments.
Inside Agents (Industry Native Agents)
The context aware recommendations that combine AI, domain expertise, and industry standard analytical methods are powered by Insight Agents. Organizations can go further with Custom Insight Agents, encoding their own institutional knowledge into the same trusted AI experience, managed centrally via the Agent Registry.
Centralized governance over LLM endpoints, ensures privacy, security, and auditability, with model endpoints managed and configured centrally, including the choice of provider and authentication.
Push Compute Analytics
Spotfire 15 can execute analytics within modern data platforms (starting with databricks and Snowflake), enabling large scale investigation where the data lives.
- Visual, statistical, and model driven analytics can be run directly in distributed data environments.
- Data can stay where it resides and duplication of data and costly extraction cn be avoided
- Working with large datasets becomes seamless while maintaining performance, security, and governance.
Integrated Analytical System
Spotfire 15 unifies visual, statistical, and model driven analytics for seamless investigation across data and workflows.
The goal is to provide a unified experience where users can move seamlessly between visual exploration, statistical analysis and modelling within a single environment while having access to industry specific methods. This unified experience encapsulates the real investigation processes relevant for the users.
Ensuring Statistical Trust
To enhance trust in the interpretation of visual analysis Spotfire 15 integrates more and more statistical tests and algorithms:
Robust normality, group hypothesis, and variance checks, along with decline curve fitting and Probit Plot analysis, can be applied within the active visualization canvas.
The supported methods include established tests such as Shapiro Wilk, Anderson Darling, Kolmogorov Smirnov, ANOVA, Kruskal Wallis, the Student t test, Levene, and Brown Forsythe, alongside measures like skewness and kurtosis and techniques such as Partial Least Squares, Lasso, linear and logistic regression, and sparse data filtering.
AI Guided Statistical Testing
A Statistical Test Advisor agent evaluates the data distribution and guides engineers toward sound analytical methods. For example, it can recommend the appropriate test for a selected category and explain why, helping less experienced users avoid common statistical pitfalls. This capability is planned for release this summer.
Industry Native Workflows
Spotfire 15 delivers industry specific functionality that accelerates analytical processes for customers in these fields:
- Built in domain specific workflows that reflect how engineers and domain experts investigate problems in practice.
- Native support for industry data sources, formats, and structures across systems and environments.
- Specialized visualizations and analytical methods tailored to industry use cases and standards, including dedicated wafer centric and multi layer analyses.
Handling Spatial and Time Series Data
Spotfire 15 provides improvements for spatial data analysis geometric, geographical, and subsurface scenarios.
- Wafer map visualization for multi layer semiconductor yield, defect, and process analysis, which is directly relevant to semiconductor manufacturing use cases.
- Advanced geospatial algorithms to automate STOIIP contouring, well density tracking, and manifold service area buffering.
- Decoupled 2D and 3D layers for independent wellbore trajectory, formation modeling, and higher performance well logs for subsurface engineering.
For time series data, Spotfire 15 brings substantial improvements to aquiring data, navigating and selecting time series, and the capability to overlay additional information:
- Data Historian connectors enable navigating asset hierarchies and tag archives to access operational data.
- Range selection mechanisms have been refined to enhance investigations.
- Temporal axis are easier to drill-down due to a smarter re-labelling of time points.
- Reference layers are more flexible to overlay control limits and process states.
Conclusion
Spotfire 15 is a substantial, forward looking release that reframes the platform as an AI augmented, industry native analytics environment. From AI guided investigation with governed industrial agents and push compute analytics, to a tightly integrated analytical system, rigorous inline statistical validation, and expanded spatial capabilities, the update significantly broadens what users can accomplish without leaving the platform.
For StatSoft customers, particularly those in semiconductor manufacturing and other quality driven industries, Spotfire 15 combines greater analytical power with the control, transparency, and governance these environments require. As always, we are happy to discuss how the new capabilities apply to your specific workflows.
