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By Anant Agarwal
You ask your agent a question. The answer is slightly off. You point out the gap. Spotter fixes it, and that fix doesn't disappear when the session ends. Your team doesn't re-explain the same thing tomorrow. The next analyst doesn't start from scratch. The correction stays, and the work gets better from here. That's what memory makes possible. Not just for you. For everyone who comes after.
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By Laura McDonald
I spend my days helping organizations modernize analytics to drive tangible business outcomes and liberate analytics teams from legacy processes. At this year’s Snowflake Summit ’26, I had the pleasure of sitting down with AJ Subbarao, Director of Business Intelligence & AI at Intuitive Surgical (ISRG).
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By Greg Lewis
Webinar recap: Andy Cotgreave (co-founder, How to Speak Data) and Francois Lopitaux (SVP of Product, ThoughtSpot) on hallucinations, accountability, and what it actually takes to trust AI with your data.
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By Sonny Rivera
A CFO asks her AI agent a simple question: "What was our ARR at the end of Q3?" The agent finds the subscriptions table, spots a column called arr, sums it up, and returns $16.4M. Strong quarter. Everyone nods. The real number was $13.9M, but no one in the room knew it yet. I hear some version of this story from nearly every data leader I talk to right now, and it almost always starts the same way. They stand up an AI pilot. It looks sharp in the POC.
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By Lindsay Lukens
At the recent data:unplugged 2026 in Münster, Europe’s biggest festival for data and AI, the stage was set for a masterclass in data transformation. Julian Stock, Analytics Reporting Team Lead, and Andreas Weiß, Senior Reporting Engineer, from PAYBACK, Germany’s premier loyalty program, shared the stage to detail a decade-long evolution: the journey from a strict, ticket-based reporting system to a thriving, AI-ready data culture.
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By Lindsay Lukens
At Snowflake Summit '26, Chris de Groot, Manager of Data Engineering Customer Service, and Jay Stricks, Group Product Manager, Insights Platform, took the stage to share Booking.com's massive data transformation. In their session, "Booking.com's Data Travels: Platform Foundations to Agentic Analytics," they laid out a masterclass on how to make a colossal, fragmented data landscape entirely AI-ready.
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By Oliver Linder
Soccer is a game of stories, but the most fascinating stories are often buried deep inside the numbers. And this year on the world's biggest stage, the tournament has expanded by nearly 60% – traditional scouting reports and pundit hot-takes simply can't keep up with the sheer volume of new data. That’s why we’re looking at the tournament through a much wider lens.
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By Jane Smith
I had the distinct pleasure of hosting a Snowflake Summit ‘26 session with Agustin “Augie” Del Rio, CEO and Founder of Gallus Insights, an analytics platform tailored specifically for mortgage lenders. As we sat down to discuss the future of analytics, one core truth echoed throughout the room: the most ambitious AI goals live or die by the quality of the underlying data.
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By Mayank Sinha
Finance leaders are operating in one of the most demanding macro environments in recent memory. Interest rates are moving faster than most models anticipated, reshaping the cost of capital almost overnight. Supply chain fragility has also turned working capital management into a moving target, and geopolitical uncertainty is changing how you plan for the future. Yet for many finance functions, the analytics stack hasn't kept pace with that urgency.
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By Lindsay Lukens
Live from Snowflake Summit '26, tech leaders from around the globe gathered to discover how the world’s most innovative companies are making AI real for business. But few sessions delivered as much raw, practical insight as the one presented by Frankie Woodhead, Chief Product & Technology Officer at Thrive Learning. Heading up a fast-growing, £20m ARR LearnTech business that serves over 500 global customers and 5 million users, Woodhead didn't give a standard product pitch.
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By ThoughtSpot
ThoughtSpot has been named a Leader in the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. We’re celebrating this milestone while building for tomorrow, as we shift from the Era of Reporting into the Era of Action. Hear a message from our CEO Ketan Karkhanis on what this shift means for our customers and partners, and how companies can win in this next era of AI BI.
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By ThoughtSpot
Check out what’s new in ThoughtSpot’s latest release! SpotterModel gets smarter: Build complex data models with AI formula suggestions and instant version rollbacks if you make a mistake. No stress, no lost work. Spotter Instructions: Fully customize Spotter’s persona, formatting rules, and strict guardrails. It says exactly what you want it to say—and nothing it shouldn't. Ad Hoc Analysis: Drop local files directly into Spotter for instant answers, or blend them safely with your governed enterprise data.
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By ThoughtSpot
A Slack Bot allows your Agent to directly interact within your slack channels. In this video: Adding AgentSpot Slack App Connecting Agent to Slack Using Agent in Slack.
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By ThoughtSpot
Spotter just got smarter and more in your control. You can now customize your agent's name, persona, output formatting, and guardrails to dictate exactly how it should (and shouldn't) handle data. Set it once, in plain language, and every user across the organization gets a configured, governed Spotter. Other new features include: Ad-hoc file analysis: Upload any flat file directly into Spotter and start asking questions instantly, solo or blended with your governed data.
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By ThoughtSpot
There is a massive boardroom fight happening right now over who gets to control AI. Should it be IT? A centralized lab? The executives? Boris Rabkin from Ligentia drops a truth bomb: AI belongs wherever value is actually created. If your AI strategy is locked inside an isolated corporate lab instead of in the hands of your product, engineering, and customer teams, it’s going to fail. Full episode out now!
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By ThoughtSpot
Your data engineering team shouldn't be the bottleneck between a business question and a governed answer. SpotterModel turns a natural language prompt into a deployable data model. This release does the heavy lifting on complex calculations, and lets you roll back to any previous model state, anytime, so a bad change never costs you hours of rebuilding. It maps your relationships, dimensions, and measures instantly, and you stay in control of table selection and the build process the whole way.
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By ThoughtSpot
The secret to a seamless customer experience? Embedding your intelligence. Ligentia wanted one consistent, branded experience across their entire supply chain offer. The fix? Partnering with ThoughtSpot. Catch Ligentia CIO Boris R. and Cindi Howson on podcast discussing how to turn standard apps into data powerhouses. Music: “The Clermont” by Flash Fluharty Licensed via PremiumBeat, ID: P9IHFMDYNZCKLEFZ.
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By ThoughtSpot
Explore how a global supply chain company turned its data platform into a customer-facing product designed to operate at the speed of disruption. Boris Rabkin, Chief Information Officer at Ligentia, shares how the company executed that shift through a deliberate phased approach and a partnership with ThoughtSpot. He breaks down how to build a data foundation that scales, what it takes to embed analytics where decisions happen, and how to structure AI ownership and governance across a global regulatory environment.
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By ThoughtSpot
Is your organization actually driving value with AI, or just scratching the surface? USC's Founder of the AI Trust Lab, Shub Agarwal, joins to share his definitive 9-step playbook to take AI from concept to production without burning your budget.
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By ThoughtSpot
Check out what’s new in ThoughtSpot’s latest release: Spotter learns from your Liveboards and conversations to deliver smarter, more context-aware answers over time. It's now easier than ever to turn complex business questions into trusted, beautifully designed Liveboards with SpotterViz Seamlessly import formulas, measures, and dimensions from Snowflake into ThoughtSpot for a single source of truth across your stack.
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By ThoughtSpot
For more than 20 years, dashboards served as a foundational element of business intelligence, helping leaders visualize and share valuable data across their organization.
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By ThoughtSpot
Businesses today run on apps, and those apps run on data. Too often, however, the technical complexity required to surface and explore that data for additional analysis prevents users from doing so. With ThoughtSpot Everywhere, organizations are easily building new data apps powered by the simplicity and ease of use of ThoughtSpot, or adding ThoughtSpot services to their existing SaaS offerings. This is giving them the unprecedented opportunity to create product experiences that stick, monetize data in new ways, and harness data right within existing tools.
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By ThoughtSpot
We are living in an unprecedented time driven by rapidly changing economic scenarios, the rise of digital native organizations and growing digital revolution, and the emergence of transformative business models. At the heart of much of this revolution is data. Organizations are collecting, analyzing, and mining data at an accelerated rate, creating new opportunities for powerful insights that deliver significant business impact.
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By ThoughtSpot
Today, just 24% of organizations say they've succeeded at becoming data-driven.* This is a challenge many data leaders are still struggling to solve despite increasing demand for data-driven insights from business users. Migrating to a cloud data warehouse is a good first step-and many have done so-but introducing new technology is not the same as ensuring adoption. To truly reap the benefits of your cloud data warehouse investment, you need an equally fast, scalable, and easy-to-adopt analytics solution to make your cloud data available to all.
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By ThoughtSpot
Despite huge investments in data and analytics over the last two decades, many companies are still struggling with how to become truly data-driven. What are data leaders doing at the organizations that have figured it out? In this white paper, DATAcated Academy's Kate Strachnyi explores four key strategies for critically evaluating your entire data and analytics stack and systematically removing the barriers that exist between their business users and business-critical insights.
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By ThoughtSpot
Although making predictions about the future is difficult even under the best of circumstances, it's never been more important for business leaders to focus, prioritize, and act in order to stay ahead of the technological curve-and the competition. The strategies you used to innovate and grow your business in the past will not be the same ones you use today. Rethinking how you use data to react and proactively adapt to change will be critical to your bottom line.
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ThoughtSpot is the Modern Analytics Cloud company. With ThoughtSpot, you can put the full power of your modern data stack in the hands of every employee and customer with consumer-grade analytics.
Why Everyone Loves ThoughtSpot?
- Instant Insights for all: Stop waiting for custom reports from data experts and instantly answer ad-hoc data questions on the fly.
- Unleash the value of your cloud data: Maximize the value of your cloud data warehouse and accelerate speed-to-insight for everyone across your business.
- Build Interactive Data Apps: Drive adoption by embedding search and insight-driven actions into your apps using our low-code developer-friendly platform.
- Bye-bye backlog: Empower non-technical people to answer their own data questions, while you build a single source of truth with security and governance at scale.
Welcome to the Modern Analytics Cloud.