FreeLive Webinar

Building blocks for agentic analytics

Individual AI adoption is strong, but enterprise results tell a different story. The gap isn't the model. It's the foundation underneath it. Without unified data, shared business context, and governed access, agents can't find or trust the data they need. This session covers what every organization must get right before agentic analytics can actually work.

Agenda / Session Highlights:

  • Why agents that master individual projects struggle when the whole business depends on it.
  • How to make sure answers stay fast and reliable as more of the business starts relying on agents.
  • A live demo to see what agentic analytics looks like in production and the components that make it successful.

Session Details

  • Date: June 11, 2026
  • Time: 8:00 AM PT | 11:00 AM ET
  • Duration: 60 Minutes
  • Format: Live with Q&A

Reserve your spot

Registration is free. A confirmation email with your joining details will be on its way to your inbox.

WEBINAR AGENDA

What you'll learn

The gap between "AI on my laptop" and "AI on our data" is a data foundation problem. This session covers what it takes to close it.

The foundation gap

The teams getting it right aren't the ones with the biggest AI budgets. They're the ones who built the foundation first. We'll cover why individual project wins don't automatically scale when the whole business depends on consistent answers.

The three building blocks

A unified data catalog, an AI Semantic Layer, and governed access. We'll walk through each one and explain why the order matters for getting agents to return answers your teams can actually trust.

Planning for scale

When the foundation is right, agent adoption accelerates fast. We'll cover how to plan for query volume before it becomes a latency problem, plus a live demo of what production agentic analytics actually looks like.

Molly Sandbo
Featured Speaker

Molly Sandbo

Head of Product Marketing, Dremio

  • Head of Product Marketing at Dremio, responsible for how Dremio communicates the value of its platform to data and analytics leaders.
  • Works directly with the agentic analytics use case and has seen firsthand the business context gaps that cause agents to return answers teams can't trust.
  • Focused on helping marketing and ops leaders understand what the right foundation for agentic analytics looks like and how to build it before projects stall.

Build the foundation your agents actually need

Get a clear, practical picture of what it takes to move from an agentic analytics pilot to a platform your team can trust for real decisions.