Overview

AI depends on data patterns, but knowledge management depends on shared understanding and meaning. In most organisations, meaning is buried in unstructured formats, legacy silos, and inconsistent tagging or in traditional databases, where true data understanding or flexibility is limited by rigid, incomplete structures. In this keynote, Urbina shows how to design scalable knowledge architectures, based on proven technologies and methodologies, that prepare knowledge for the future of combined human consumption and AI-driven discovery and leverage. When the “shape” of information matches the way people think and work, everything flows better: engineers resolve issues faster, support teams get clearer insights, and AI systems behave in ways that feel explainable rather than opaque.

Where and when

• Where: America Square Conference Centre, London
• When: Wednesday, 15 April at 9:30am CET
• Register and receive £100 off the current registration rates.