4 Signs Your AI has a Context Problem, Not a Model Problem
Most AI agents can write SQL. The problem is they write it against the wrong definition of revenue, for the wrong team, using the wrong business rules, and you won't catch that in a demo. Before you evaluate a single semantic layer vendor, there are four things worth getting right first. The semantic layer market has never been more crowded. Every major analytics vendor, data platform, and BI…
Read the full story on ThoughtSpot BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
More from ThoughtSpot
Recent updates from ThoughtSpot, so you can tell whether this is a one-off or part of a pattern.
Introducing ThoughtSpot Spreadsheets on Live Data
View, Work, and Save Your Live, Governed Data, Without Ever Exporting It Every analyst has a version of this “Monday blues.” A leader pings asking for the quarterly forecast, wants it broken out by region, and needs it for a call in thirty minutes. The fastest way to do this? Pull the data out of your tool, paste it into Excel, and build the report there. Thirty minutes later, you've got the…
From Dashboards to AI Agents: Huel’s Analytics Journey
You’ve rolled out a modern data stack, built self-service dashboards, and empowered your team to ask their own questions. Job done, right? Not quite. The data landscape is shifting rapidly beneath our feet, which makes it critical to understand how to build your AI for BI platform so you can scale and navigate technology evolutions. I had the pleasure of sitting down with Jane Smith,…
Spotter Memory Is Live: Your AI Analyst Stopped Forgetting
Spotter Memory is now generally available. 📌 Key takeaways 1. Spotter Memory is generally available in ThoughtSpot. Spotter keeps the business definitions and query paths it learns instead of starting every session cold. 2. Memory comes in two forms: rules, which define what a metric means in your business, and recipes, which capture how a recurring question gets answered. 3. Spotter learns…
More in Data & Analytics
What other companies in Data & Analytics are doing. The category page shows who’s active, side by side.
Customer Journey Observability: From Impact to Root Cause
See how companies are using customer journey graphs in Observe by Snowflake to start incident investigation at business impact and reach root cause faster.
AI in M&A: Accelerating Due Diligence and Integration
Learn how Accenture and Snowflake use AI and a unified data platform to accelerate M&A due diligence, de-risk integration and drive deal value.
From Data to Dialogue: How S&P Global Energy Made Its Structured Data Estate Conversational with Databricks Genie Agents and MCP
S&P Global's goal was to fundamentally improve how customers discover and consume...
Fivetran vs Airbyte: Features, Pricing & Key Differences
Compare Fivetran vs Airbyte pricing and key features. Learn how to choose the right data integration platform for you.