ThoughtSpot unveils Spotter: AI-driven insights for all

ThoughtSpot has introduced Spotter, an autonomous AI analyst aimed at making data insights more accessible and actionable for business users across various industries.

According to ThoughtSpot, Spotter elevates traditional data analysis by not only extracting insights but also iterating on questions while maintaining context from previous queries. This development is intended to democratise data analysis, making it possible for all users to access detailed datasets using natural language queries.

Spotter is designed to enhance worker productivity by automating routine tasks, allowing employees to concentrate on core innovations without impacting job roles. The AI service assures enterprise-grade security and demonstrates ThoughtSpot's commitment to customer success and leadership in AI-powered analytics under new CEO, Ketan Karkhanis.

"ThoughtSpot has been a game changer for our business. In recent months we launched Generative AI capabilities from ThoughtSpot to our customers, and the feedback has been overwhelmingly positive. Now, our customers can search a question in natural language, get an answer, and ask the next question, self-serving at its finest," said Craig Haughan, VP, Data Engineering & Architecture at CWT. "I'm excited about what ThoughtSpot is launching with Spotter, as it will supercharge this experience and introduce a limitless conversational experience for our customers, who will never be more than a question away from data insights and actions that will propel their business forward."

Spotter adapts to users' industries and roles, providing reliable and contextual insights whether for frontline workers or C-suite executives. The tool allows users to interact with and adapt outputs based on feedback, contributing to better operational decision-making over time.

"Spotter isn't just another AI tool for the experts. It's as simple as this: ask your data a question, and get instant, adaptable answers relevant to the industry you serve. Wherever you are, Spotter speaks the language of your business," said Ketan Kharkanis, CEO at ThoughtSpot. "At the highest level, everybody is now able to leverage GenAI to make better decisions and drive meaningful outcomes. With Spotter, we're delivering on our mission to make the world a more fact-driven place—for everyone. Spotter is AI for all of us. We're extending the power of data democracy—building on our legacy of democratizing analytics to make insights even more accessible to everyone, not just the experts."

Among its features, Spotter offers a single-user interface that facilitates conversational engagement with business data, providing answers to complex queries while preserving question context for a more fluid experience. It is compatible with various cloud platforms and integrates with leading AI models to provide adaptability and choice.

"At Brambles, our focus has been to empower every member of the team, and organization more broadly, to make insight driven decisions. Leveraging ThoughtSpot has helped us build this capability and it has become an important tool in our GenAI toolbox that is changing the way our teams do business, with self-service at the core," said Nick Latocha, Senior Director, Global Lead, Data and Analytics at Brambles. "We're eager to see how ThoughtSpot Spotter can further elevate this journey for us, particularly with the conversational approach that will make it simple and easy for our people to ask layers of questions, drilling down into the insights they need to make informed decisions quickly."

Addressing the need for accessible analytics, David Menninger, Executive Director, ISG Software Research, said, "Our research shows that analytics and business intelligence tools still have not been adopted by large portions of the workforce. ThoughtSpot Spotter uses natural language processing and generative AI to provide a new way to analyze information, making it much easier for far more people to work with data. Spotter fosters an interactive, intuitive dialogue-based approach that recognizes context and user intent, ensuring that users can engage in fluid, natural language conversations that yield meaningful, actionable insights—without requiring them to be experts in querying syntax or analytics. This user-centric approach helps to deliver on the promise of democratizing data insights for everyone."

ThoughtSpot's approach with Spotter includes an architecture based on the agentic reasoning layer BARQ, which enhances analytics by bridging queries with appropriate agents. This enables detailed interpretation and context-driven decision-making while minimising errors.

"At ThoughtSpot, we believe that in an autonomous business, analytics must be autonomous too. That means empowering not just every person to ask questions of their data, but also empowering AI to make decisions with those insights," said Sumeet Arora, Chief Development Officer at ThoughtSpot. "That is the journey we are on with Spotter, bringing the analytical and reasoning skills of a human data analyst to every business user, analyst, and app builder. Now, there's an AI analyst for everyone, built with a trust layer that makes the AI explainable and trainable so you have confidence in its outputs. By offloading mundane tasks to AI, users can focus on unleashing creativity and driving innovation, unlocking unprecedented business value and ROI."