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ThoughtSpot Sees Its ‘Spotter” AI Agent Technology As The Future Of Data Analytics

CRN by CRN
April 11, 2025
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ThoughtSpot unveiled expanded capabilities for its Spotter agentic analysis platform including new deep reasoning and data literacy functionality.

Making good on the concept that “AI is the new BI,” data analytics software provider ThoughtSpot has expanded the capabilities of its Spotter AI agentic analytics offering with new deep reasoning and data literacy capabilities.

The Spotter platform also can now provide “Why” insights for business users seeking information that explains analytical results and data trends.

“This is basically the future of analytics. The future of analytics is agentic and autonomous,” said Francois Lopitaux, ThoughtSpot senior vice president and general manager of emerging technologies, in an interview with CRN.

[Related: ThoughtSpot Expands Analytics Platform With Data Preparation Capabilities]

“It’s a different paradigm,” he said, comparing AI gents to the static reports and dashboards produced by traditional business intelligence software. “It’s the new paradigm where everybody gets a dedicated analyst to answer their questions. It’s proactive and it’s [available] wherever you are working.”

ThoughtSpot launched Spotter in November, touting its to bring the analytical and reasoning skills of a data analyst to business users.

Lopitaux said agentic analyst tools are more effective than traditional business intelligence software at working with unstructured data and data that’s disbursed across on-premises and cloud systems – and even from outside of an organization, providing insights that are “connected and pervasive.”

Analytical agents can be developed to meet the data analysis needs of specific business roles, personalizing and contextualizing insights within existing business user workflows. And with the new release analytic agents can now be embedded into enterprise applications that business users already work with: Spotter is now available for Slack, Salesforce and Teams. It can even be embedded within other AI agents.

“We are now entering a new era where you can ask deeper questions. You can ask questions about your data. You can ask questions about deep reasoning like: ‘I’m a new salesperson. Which product should I sell next year to make my numbers,’” Lopitaux said.

New and improved capabilities in the latest Spotter release include data literacy skills for asking questions and the ability to ask “why” questions that provide informed summaries based on the data. New deep reasoning features offer full AI analysis on broad, topical questions, according to the company.

Data that’s connected to the ThoughtSpot platform is also available to Spotter.

Lopitaux noted that ThoughtSpot created a more business user-friendly data analytics tool with its original search-based analytics platform and the Spotter agentic analytic platform is the continued evolution of that strategy.

“It’s really a natural next step for ThoughtSpot,” he said.



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Tags: AIAI AgentsArtificial IntelligenceBusiness Intelligence and AnalyticsCloud PlatformsCloud SoftwareDatabase and System SoftwareGenerative AI
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