The latest
Notes on data, AI agents, and trust.
The official QueryStory blog.
Accurate Data Isn’t Enough for Good Decisions
Your warehouse has an answer. It doesn’t have the whole story. Why AI agents need the business context behind the numbers, and how CIOs can make that context shared, governed infrastructure.
From Lineage to Leverage: Making Analytics Operational
Every data tool promises to go from data to decisions, but none builds for the path between them. How decision traceability makes the analytics lifecycle continuous, from knowing why to engage to carrying what was learned forward.
Beyond One-off Answers: AI for Collaborative Business Decisions
Every team now gets its own AI answer, and no one has the full picture. How an agentic analytics solution turns one-off answers into decisions the whole business can trust.
4 Signs Your Team Has an Analytics Bottleneck
Most companies aren't getting full value from their analytics investments. Four signs the gap between what you've built and what the business gets is too wide.
The post-AI data stack is right. Most companies shouldn't have to build it.
Ramp's Ian Macomber published the clearest map yet of data's post-AI era. This is the view from the product side.
Having data isn’t the advantage. Acting on it is.
AI can answer almost any question about your business in seconds. That's exactly the problem.
Never trust model output. Zero trust for AI agents.
The security community already solved this problem once. AI agent security is zero trust’s second act — and we told NIST exactly how.
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