Most organizations have experimented with conversational agents that promise insights on demand. But they struggle to achieve production-grade results. The reason: an inability to integrate metadata at scale for real-time, contextual answers to business questions.
This webinar examines three structural challenges behind that bottleneck: distributed datasets, heterogeneous environments, and rising expectations for true self-service analytics.
We then outline architectural principles that dynamically integrate data, metadata, and analytics to guide wide-ranging business decisions.
What data and AI leaders will learn:
- Why the metadata bottleneck undermines contextual insights
- What architectural principles enable agentic analytics at scale
- What use cases are most compelling for self-service analytics
Event Details
📅 Thursday, January 29, 2026
🕑 12:00 PM ET / 9:00 AM PT
📍 Zoom
👉 Missed the Event? Click here to read our takeaways and watch the recording
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