Systems | Development | Analytics | API | Testing

57% of executives report getting confidently wrong answers from their AI tools—answers that looked plausible and made it into real decisions. In this clip from Day 2 of our Semantic & Context Layer Series, Sonny Rivera, Jane Smith, and guests from Roche, Fabuwood, Snowflake, and dbt Labs break down what that problem actually costs.

Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.

Spotter answers from your data warehouse. The context behind those answers lives in the apps your team already uses, so we made connecting them a lot simpler with the Spotter connector marketplace, now GA in ThoughtSpot 26.10. In this walkthrough, you’ll learn how to.

Spotter answers from your data warehouse. The context behind those answers lives in the apps your team already uses, so we made connecting them a lot simpler with the Spotter connector marketplace, now GA in ThoughtSpot 26.10. In this walkthrough, you’ll learn how to.

Most data questions come up in Slack. Most data answers require leaving it. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside your Slack workspace, in direct messages, threads, and public channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer with high-level insights and relevant artifacts (images, PDFs, and CSVs), right where the conversation is already happening.

Your governed data is only useful if people can access it where decisions actually happen. For most teams, that's not a BI tool… it's Microsoft Teams. In this demo, watch how Spotter, ThoughtSpot's AI analyst, works directly inside Teams: in direct messages, group chats, and collaborative channels. Ask a question in natural language, and Spotter pulls from your governed data models to return an answer, right in the thread. Every answer names the model it came from, so anyone can verify the number instead of taking it on faith.