Metric Insights

05/12/2026

The agent is the easy part. The harness is the hard part.

Most "AI for BI" demos work fine on a clean dataset. They quietly fall over in production — where governance, lineage, semantic context, and accuracy guardrails actually decide whether a CFO can trust the answer.

That layer underneath the agent — the harness — is what we're breaking down live next week. 1 hour, sharp.

Wednesday, May 27 · 1:00–2:00 PM ET / 10:00 AM PT / 6:00 PM BST

Register: https://lnkd.in/gmJgjD2W

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Terms & conditions: https://lnkd.in/gD-SSNS3

05/01/2026

Everyone is talking about AI in analytics.

But here’s the reality we’re seeing across enterprises:
Most teams aren’t struggling to build AI…
They’re struggling to make it actually work in the flow of the business.

Why?

Because the insights are already there—buried inside dashboards, reports, and data users trust… but don’t always see at the right time.

AI has the potential to change that—
not by replacing dashboards, but by surfacing what matters, when it matters.

In this article, our CEO Marius Moscovici breaks down where things typically break down—and what it takes to make AI for BI work at scale.

📄 Read the full article: 👇⬇️

On any given day, somewhere inside your BI environment, there is a dashboard that contains an insight someone should act on immediately. A KPI that shifted overnight.