Spotfire Advances AI-Augmented Investigation and Analytics at Scale for Industrial Organizations

Spotfire launches new quarterly innovation program, highlighting advancements in AI-augmented investigation, analytics at scale, trusted decision-making, and industry-native workflows.

Ft. Lauderdale, FL — June 24, 2026 — Spotfire, a business unit of Cloud Software Group and a global leader in enterprise-class visual industrial analytics, today announced the launch of the first edition of the Spotfire® Quarterly Update, a new quarterly program designed to communicate the company's latest innovations and strategic direction across the Spotfire® platform.

The inaugural Spotfire Quarterly Update highlights advancements across four areas that are increasingly critical to industrial organizations: AI-Augmented Investigation, Investigation at Scale, Trusted Industrial Decisions, and Industry-Native Analytics. Together, these innovations help engineers, scientists, analysts, and operational teams investigate complex systems more effectively, understand data in context, and make decisions with greater confidence.

As industrial organizations continue to navigate growing operational complexity, increasing data volumes, and rapidly evolving AI technologies, the ability to move from fragmented information to actionable understanding has become a competitive necessity. This quarter’s innovations are designed to address this challenge by bringing together AI, advanced analytics, scalable data architectures, and industry expertise within a single visual analytics environment.

"Industrial organizations don't need more dashboards or more disconnected tools; they need a better way to understand complex systems and make confident decisions," said Tobias Lehtipalo, VP of Product Management at Spotfire. "The Spotfire Quarterly Update reflects how we're evolving the platform to help customers investigate more effectively, validate findings with greater confidence, and operationalize analytics in ways that reflect the realities of industrial operations."

Highlights from this quarter's update include continued advancements in Spotfire AI, including new capabilities that help users navigate investigations, surface relevant insights, and accelerate analytical workflows. The update also introduces innovations that enable organizations to investigate larger and more complex datasets where they reside, reducing data movement while maintaining governance and performance.

Additional enhancements strengthen the analytical foundations required for trusted decision-making through expanded statistical methods, contextual analysis, and integrated workflows. Spotfire also continues to invest in industry-native experiences designed specifically for manufacturing, energy, and other operational environments where domain expertise is critical to decision-making.

"Industrial analytics is not about applying AI to data in isolation," said Michael O'Connell, CAO of Spotfire. "It is about AI and analytics in operations, with deep domain expertise to understand what is happening, why, and what to do next."

The Spotfire Quarterly Update serves as the foundation of a broader quarterly communication program that includes webinars, customer resources, product updates, and educational content designed to help organizations understand how innovation translates into real-world outcomes.

To learn more about this quarter's innovations, visit the Spotfire What's New Hub or register for the latest Spotfire Quarterly Update webinar.

Media Contact:

Spotfire Marketing
marketing@spotfire.com

About Spotfire

Spotfire is a visual industrial analytics platform that helps organizations make better decisions in environments where complexity is high, and the cost of getting it wrong is real. By bringing data, analytics, AI, and industry expertise together in a shared visual environment, Spotfire enables engineers, scientists, and operational teams to understand what is happening, why it is happening, and what to do next. Spotfire supports organizations across manufacturing, energy, life sciences, and other industrial sectors through AI-augmented investigation, advanced analytics, and industry-native workflows.

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