Raúl Beiroa Raposo
In the era of AI-driven automation, the push to be "data-driven" often fails because of a very human problem: we aren't speaking the same language. This semantic drift happens when different teams — and now, their AI agents — interpret the same information in conflicting ways. Without a unified semantic layer, a single KPI, like "Average Revenue Per User" (ARPU), can be interpreted in conflicting ways; a business user might calculate it based on active monthly subscriptions, while an AI agent might interpret it across all registered accounts. This subtle mismatch would lead to a 15% discrepancy in forecasting, causing automated budget allocations to miss their mark, while eroding trust in the entire data ecosystem.
Join us for an in-depth webinar with Raul Beiroa, principal product manager at Denodo, to discover how the Denodo Platform creates a unified semantic layer that bridges the gap between a complex data ecosystem and everyday business language. Learn how to serve both people and agents with precision.
Attend and Learn:
- The AI Mandate: Why consistent semantics is the "operating system" for reliable AI
- Eliminating Discrepancies: How a logical layer ensures one definition for every metric
- Governed Accessibility: How to make complex data trustworthy and accessible for all
