All functioning marketplaces rely on shared standards — and data marketplaces are no exception. The key lies in universal identifiers. Borrowing from the Semantic Web, the use of resolvable URLs for data items offers a simple, scalable way to unify fragmented data estates and enable decentralised coordination across the enterprise.

If software is eating the world and AI is eating software, what eats AI? The answer is philosophy—expressed through a clear, machine-readable ontology. By surfacing your enterprise’s core semantics and linking them to real data, you give AI a lens to reason over what truly matters: how your business creates value.

Insights from the Data Management Summit London: why organisations must connect their data, embrace knowledge graphs, and define their ontological core to thrive in the AI era.

In the AI arms race, data isn’t just fuel - it’s the architecture for the intelligence you train. Yet most enterprises still rely on 20th-century data architectures for 21st-century intelligence. Your CRM is a vault of customer interactions, your ERP tracks orders, and your analytics tool crunches numbers - each a walled garden. AI is meant to be the brain that connects them all, but it can’t - because these systems weren’t designed for AI.