ThoughtSpot Launches Spotter, the Autonomous Agent for Analytics
ThoughtSpot, the AI-powered
analytics company, has unveiled a significant expansion to the
company’s artificial intelligence capabilities. Today, the company has launched Spotter, an agentic AI analyst, reinventing how businesses
proactively derive actionable and meaningful outcomes from their data.
Delivering on ThoughtSpot’s mission to make the world more fact-driven, Spotter
brings the analytical and reasoning skills of a data analyst to the fingertips
of every user, wherever they are.
AI is the new BI
The rapid innovation of AI has transformed business intelligence, replacing its
functionality with advanced, automated and scalable decisioning. Spotter enables
every user within a business, irrespective of their technical capabilities or
industry, to converse with Spotter as they would a human analyst. Users can
self-serve actionable insights in natural, conversational language to scale
reliable, data-driven decision-making across their organization. Spotter
integrates effortlessly into users' preferred platforms, seamlessly embedding
within existing business applications, digital productivity tools, and custom
agents to meet them where they work, so they can ask questions of their data
anywhere, at any time.
“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.”
An AI analyst fluent in the language of every industry
From frontline workers in retail to C-suite executives in financial services,
Spotter adapts to the industry and persona of its users, empowering everyone to
get reliable, replicable, and contextually rich insights. Leveraging human
intelligence at every turn, users can modify and interact with their answers
directly based on their train-of-thought and business expertise. Users can
review, train, and apply their feedback to continuously improve outcomes over
time, while improving operational decision-making.
“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.”
Capabilities for every user, everywhere
ThoughtSpot’s expansion of its GenAI capabilities with Spotter delivers a
single user interface to converse with your business data, and extends data
into the hands of more users, wherever they are.
The capabilities include:
· Answers for any question
on your enterprise structured data: Spotter provides reliable answers
to any question, no matter where the data resides, how massive or complicated
the dataset, or how complex the question. Furthermore, Spotter preserves
context from one question to the next to create a conversational experience.
· Adapts to your
business: Spotter learns the language and context of any industry, delivering
precise insights tailored to users’ needs, while training and continuously
improving its outputs based on human feedback.
· Actionable insights
wherever you work: Embedded in digital productivity tools, business applications like
Salesforce and ServiceNow, and even custom agents, Spotter surfaces insights
and takes action across all tools and devices.
· Enterprise-grade
trust: Spotter delivers enterprise-level security. The AI services used by
Spotter do not retain or use this information for model training. From a
governance standpoint, Spotter includes row-level security and role-based
access control and support mechanisms that govern and audit input and output.
· Integrates into any
ecosystem: Compatible with any cloud platform and leading LLMs including OpenAI
GPT models and Google Gemini today – with Snowflake Arctic integration to be
released before the end of the calendar year – Spotter integrates with existing
data ecosystems, providing flexibility 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."
“Our research shows that analytics and business intelligence tools still have
not been adopted by large portions of the workforce,” said David Menninger,
Executive Director, ISG Software Research. “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.”
Autonomous analytics for the era of the autonomous business
Spotter’s architecture begins with ThoughtSpot’s agentic reasoning layer, known
as the BARQ (Business Augmented Reasoning for Questions) layer. Here, questions
are classified and matched with the appropriate agent based on the required
skill. Today, we are launching questions for Search, with data literacy and
advanced analytics skills in our near-term roadmap. Spotter analyzes data,
previous queries, coaching from the data team, and usage patterns to provide
relevant insights. This process leverages ThoughtSpot’s modeling language to
interpret queries within the context of a company’s business definitions and
ensures step-by-step reasoning before connecting with a language model,
preventing hallucinations and delivering precise, context-driven answers.
The embedded ThoughtSpot Spotter experience allows product leaders to quickly
integrate agentic analytics experiences into their applications, workflows, and
custom agents, enhancing user engagement and generating new revenue streams
with a faster time-to-market. Spotter Embed offers a seamless, low-cost
solution that frees up valuable developer resources, ensuring they can focus on
core product innovation while providing their customers with the actionable
insights they need.
“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.”
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