Andriy Mandyev

The core argument and the narrative is built around a central paradox: AI Agents are operational systems, but they automate reasoning. Therefore, they cannot be managed solely by software engineering rules; they require analytics principles. During this session, Andriy will argue that as the ROI of AI Agents depends more on Data Governance principles (like quality and lineage) than model performance, this creates a new mandate for the data ecosystem. Walk away with a deeper look into:

• Data Products as "Grounding": Moving beyond assets to become the source of Context (ensuring the AI behaves as intended).
• Data Platform as "Evaluation": Moving beyond infrastructure to become the source of Verification (ensuring the AI behaves as expected).
• A set of "Axioms" for the Agentic Age, not dogmatic answers, which will provide a framework to help navigate uncertainty.
• Seeing your Data Platforms, not just as a storage layer, but as the "Lighthouse" that keeps the business safe in a sea of incertitude and rapid change.