Systems | Development | Analytics | API | Testing

AI is not just changing how we test it's redefining how we lead. This high-impact AMA explores how testing leadership must evolve in an AI-first world. Whether you're managing a lean QA team or scaling quality across a large enterprise, the session offers frameworks and insight to help you lead, not just adapt, through transformation. What you'll take away: About Jaydeep Chakrabarty.

- Building a prototype is easy—but scaling reliable, secure AI is the real challenge. In this demo, we show you how to move past basic chat and into the era of Agentic AI with the ThoughtSpot MCP (Model Context Protocol) Server. The MCP Server acts as a bridge between your data and external LLMs like Claude, OpenAI, and Gemini. It doesn't just answer questions; it reasons through your data model to automatically generate governed, mission-critical Liveboards.

Go beyond standard dashboards with Muze, the data visualization library that brings a "grammar of graphics" approach directly into ThoughtSpot. Starting in version 10.15, Muze is available as a native chart option, allowing you to build highly interactive, code-level visualizations without leaving your browser. What’s Covered: Whether you are looking to learn the technical side of custom visualizations or want to see the platform in action, we have the resources to help you succeed.

- Struggling to manage large datasets in Google Sheets while trying to run high-level BI initiatives? In this video, we demonstrate how to seamlessly bridge the gap between your Google Drive and ThoughtSpot using Analyst Studio. We walk you through the entire end-to-end workflow: from connecting a Google Sheet via URL to building a data model and visualizing your insights in real-time. Learn how to automate your data pipeline so that every update in your spreadsheet—like changing a client’s industry or adding new leads—reflects instantly in your ThoughtSpot Liveboards.