Systems | Development | Analytics | API | Testing

Sales Leaders: Are you making decisions based on data, or just a "gut feeling"? If you want to move faster, you need to see this. James Smith, our SVP of EMEA, is demonstrating a hashtag#wowmoment that turns a vague intuition on SDR pipeline progression into a multi-million dollar revenue roadmap using Spotter.

RevOps Leaders: How much time does your team spend prepping for forecast calls? If the answer is "too much," you need to see this. Kelley Jarrett, our SVP of Strategy, Operations, and Enablement, is sharing her daily workflow and a hashtag#wowmoment using Spotter.

In this season premiere of The Data Chief podcast, host Cindi Howson sits down with three industry leaders to unpack what’s next for AI, and the concrete moves data and AI leaders need to make in 2026—many of which are detailed in ThoughtSpot’s Top Data & AI Trends of 2026 ebook. Get ready for a deep dive into: Consider this your field guide to navigating AI in 2026.

Trust, verified. Powered by Spotter. Why settle for AI hallucinations when you can have governed truth? Spotter maps natural language to business tokens, giving you 100% transparency down to the code. Experience AI you can actually explain. Discover what Spotter can do.

Stop manually wrangling data and start automating your governance. In this technical deep-dive, we explore how to leverage ThoughtSpot Modeling Language (TML) to manage complex joins and enforce strict business rules at the architectural level. Traditional UI joins are great, but sometimes you need to ensure end-users only interact with a specific subset of data—like active subscribers—without giving them the ability to toggle filters. By moving your logic into TML, you create a "Join with Filters" that hardcodes business rules directly into your data model.

Are your marketing dashboards telling you what happened—but never why? Campaigns are underperforming, budgets are under scrutiny, and every answer seems to require a ticket to the data team. ThoughtSpot CMO, Micheline Nijmeh, just went hands-on with Spotter—the AI analyst built for marketers who need answers now, not next sprint. Spotter doesn’t just chat. It investigates your toughest marketing questions so you can move from guesswork to confidence: Why did pipeline drop this week?

Your CEO asks: "What drove growth in 2025—and where should we invest next year?" Spotter has you covered. In the fast-paced world of data analytics, the biggest pain point is the "wait time" between asking a question and getting a real answer. Traditionally, a request like this would trigger weeks of manual data wrangling and dashboard backlogs. Spotter doesn't just answer the question, it delivers thoughtful analysis with a roadmap of what to do next. Watch how this agentic teammate delivers.

-Are you new to a data model or looking to uncover the "why" behind your metrics? In this video, we dive into Spotter, the conversational AI feature in ThoughtSpot, to see how it acts as an agentic teammate for data exploration and research. Follow along as we use a Customer Success model to demonstrate how Spotter moves beyond simple charts to provide comprehensive reports, relationship mapping, and statistical correlations.

Are your liveboards getting cluttered with too many charts? In this video, Amit Barnwal, Solutions Architect at ThoughtSpot, demonstrates how to use Dynamic Parameters to consolidate multiple reports into a single, interactive visual. Learn how to give your end-users the power to swap measures and attributes on the fly, allowing you to tell a bigger story in a much smaller space. What’s inside this video.