Systems | Development | Analytics | API | Testing

In 2026, the gap between companies "testing" AI and companies "running" on AI has become a chasm. In this segment of The Data Chief, Paul Baier, CEO and Co-Founder of @GAIInsights, explains why the honeymoon phase of Generative AI is over and the era of Agentic AI has officially arrived. Paul breaks down how leading enterprises are pulling ahead by moving beyond simple chatbots to autonomous agents that can plan, reason, and execute complex workflows. If you want to know how to reshape your enterprise operating model to stay competitive, this is the field guide you’ve been looking for.

- 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.

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.

- 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.

Check out what’s new in ThoughtSpot’s latest release!

Stop manually juggling mismatched data formats! This video demonstrates how to join Parquet and JSON files directly within ThoughtSpot Analyst Studio’s Python Notebook to create a single, enriched dataset. What you will see: This is a must-watch for data professionals looking to unify complex, multi-format data sources and deliver searchable, AI-ready insights in one continuous workflow.

Building dashboards should be about finding insights, not fighting with software. SpotterViz is the agent that bridges the gap between raw data and a finished masterpiece.

Stop manual data wrangling and start architecting. Meet SpotterModel: your new modeling agent built to deliver instant, AI-ready data. It’s time to move beyond the "join-loop" and let AI handle the heavy lifting. Meet your new modeling agent today.