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:
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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 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.
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.
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.