Systems | Development | Analytics | API | Testing

Getting support means reaching value and impact in days instead of weeks or months. Professional services bring proven expertise that accelerates adoption and makes teams the heroes, not the ones struggling to figure everything out alone. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

Andy Steinmann of MarketAxess shares how access to Apache Kafka experts—not just software—became the turning point in MarketAxess’ shift to Confluent Cloud.

You’ve moved your data to Google Cloud. Now it is time to make sure it’s accurate, secure, and cost effective. This video concludes our migration series by focusing on the critical steps following data transfer from Databricks, Teradata, Snowflake, Cloudera and many other platforms. You’ve moved your data to Google Cloud. Now it is time to make sure it’s accurate, secure, and cost effective. This video concludes our migration series by focusing on the critical steps following data transfer from Databricks, Teradata, Snowflake, Cloudera and many other platforms.

AI tools are getting smarter, and many of them now have access to more than you realize. From test scripts to config files to internal APIs, what starts as "just a helper" can become a hidden risk. In this AMA, Harinee will share where things go wrong when tools are trusted too quickly. We’ll look at real examples, permission pitfalls, and ways to keep your systems safer. If you’re using AI in testing or automation, this session will help you ask better questions. Bring your curiosity and your concerns. Let’s talk about what your tools can do, and what they shouldn't.

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.