Systems | Development | Analytics | API | Testing

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.

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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?

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.

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.

Stop hopping between tabs and bring your data insights directly into the tools your team uses every day. In this video, we explore ThoughtSpot Sync, a powerful feature that allows you to push live visualizations and data snapshots directly to Slack, Microsoft Teams, Google Sheets, and more. Whether you need to alert a team to a specific KPI or share a detailed CSV for further analysis, ThoughtSpot Sync automates the delivery of insights so your colleagues never miss a beat—even if they haven't opened ThoughtSpot.

As we move toward a future of autonomous agents, the biggest hurdle isn't the AI's intelligence—it’s the governance. In this segment of The Data Chief, Rory Blundell, CEO of @Graviteesource , explores the critical infrastructure needed to move agents from "experimental" to "enterprise-grade." Rory explains how the agentic era is fundamentally redefining API integration and why many organizations are hitting a "maturity wall." Learn how to build the security frameworks and management layers necessary to give your agents the power to act without compromising your brand’s trust or security.