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Spotfire Brings AI-Augmented Investigation Inside the Analysis


Spotfire Brings AI-Augmented Investigation Inside the Analysis
  • by: Business Wire
  • |
  • October 13, 2026

Spotfire, a business unit of Cloud Software Group and a global leader in enterprise-class visual industrial analytics, today announced second edition of Spotfire Quarterly Update, quarterly program designed to communicate company's latest innovations and strategic direction across Spotfire platform. Edition puts Spotfire AI at center alongside what's new in Spotfire 15.1, bringing AI-augmented investigation inside analysis for industrial teams.

Quick Intel

  • Spotfire announces second Quarterly Update putting Spotfire AI at center alongside Spotfire 15.1 innovations.
  • Addresses trust gap: generating analysis easy, trusting it is hard in industrial environments.
  • Ask Spotfire natural language assistant arrives with 15.1 letting users describe needs to build and modify analyses.
  • Insight Agents and Skills capture analytical method once for team reuse including manufacturing and energy agents.
  • MCP support open standard links AI to other systems like maintenance planning or ticketing triggering actions inside analysis.
  • Spotfire 15.1 deepens high-tech manufacturing analytics with wafer layout detection and exposure-field visualization.

Ask, Assist and Act on Data Under Own Governance

Generating analysis has become easy; trusting it has not. In industrial environments, answer nobody can verify can mean scrapped lots, rejected batches, or mispriced bids. This edition shows how Spotfire AI, AI built into Spotfire itself, helps engineers, scientists, and operational teams go from fragmented information to defensible decisions. They ask in own words, build and configure analyses faster, and act on what they find in systems where work gets done, all inside analysis rather than beside it.

As AI models become more capable, value shifts to context and evidence around them. Spotfire AI works across data silos and lets teams assemble fragmented operational data for analysis, with validated, reproducible methods and visible evidence behind every result, so experts stay in control of decision. Organizations choose AI models and decide which groups can use them, with usage logged and auditable.

Industry-Native Analytics and MCP Integration in Spotfire 15.1

Highlights include Ask Spotfire arriving with Spotfire 15.1, natural language assistant that lets users describe what they need and have analyses built and modified. Spotfire AI also augments experts in building and configuring analyses and visualizations, while Insight Agents and Skills let them capture analytical method once so anyone on team can run it, including industry-native agents for manufacturing and energy.

Also arriving with Spotfire 15.1, MCP support, open standard for linking AI to other systems, lets experts connect Spotfire AI to other systems in environment such as maintenance planning or ticketing, and trigger actions from within analysis. Upcoming Spotfire 15.1 also deepens industry-native analytics for high-tech manufacturing. Wafer layout detection, statistics layers, and exposure-field visualization help engineers analyze spatial wafer data and move toward root cause within single visual environment.

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

 

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.

  • Cloud Software GroupIndustrial AnalyticsVisual Analytics
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