Explore a critical yet overlooked ingredient in enterprise AI success: context.

While most organizations focus on data quality, model selection, or use case prioritization, many AI initiatives still fall short—not because the technology is lacking, but because the broader context in which AI operates is missing.

What if your data tells only part of the story?

What if your AI system optimizes what is—but can’t imagine what could be?

Join Marcel Roma as he reframes AI readiness as more than a checklist of tools or processes. It’s about grounding AI in organizational meaning—processes, semantics, exceptions, knowledge structures—that don’t live in your database, but in your people, workflows, and systems.

Why agentic AI can only succeed if it’s anchored in rich, structured context?  From regulatory compliance to product innovation, discover how AI can move from automation to real impact—when we stop training it only in the past, and start connecting it to the present.

This is not a talk about hype. It’s about designing AI that works—because it understands what matters.