Enterprise data is vast, fragmented and complex.

Direct access to the entire data estate doesn’t scale — economically, operationally or safely. As a result, AI and BI rarely operate on all of it. Most insights are then built on slices of data, not the complete enterprise view.

What if every dashboard, chatbot and agent worked from one unified view of the entirety of your enterprise data — with consistent definitions and business context enforced everywhere?

In this live session, we’ll show how to make that possible.

Consistent Results Across Every Interface

Dashboards, AI chatbots and agents return the same answers. Every tool. Every time.

  • For BI
    Observe Power BI, Tableau, and Excel compute metrics from governed definitions and centralized logic — consistent across every dashboard and report.
  • For AI Chatbots
    Watch Dialogs generate responses grounded in enterprise KPIs and embedded business context — even under free-form, conversational prompts.
  • For AI Agents
    See Claude Cowork reason and analyze on the same governed semantic foundation — executing against your full data estate, with business context intact.

In this live session, you’ll see exactly how that becomes reality: one semantic foundation serving BI, conversational AI and agents — powering aligned answers, shared meaning and enterprise-wide context across every interface.

Deep, Enterprise-Wide Analytics

Not a subset. Not a sandbox. The full breadth and depth of enterprise data — unified under one meaning.

Price-Performant AI Analytics at Scale

Predictable analytics spends as data volumes, users and complexity grow — no runaway compute costs, no peak-driven overprovisioning.

If consistency, scale and trust in AI + BI matter to your organization, this is a must-watch.

Watch teaser | 1 min
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