Tony Seale, The Knowledge Graph Guys, Founder

As tech giants build whale-sized supercomputers to train AI models, organisations must focus on mastering their most valuable asset: data. Yet most organisational data remains fragmented, unstructured, and disconnected. This session explores how the graph community can flip the intelligence pipeline on its head by leveraging DPROD - the Semantic Data Product Specification - to transform raw data into a strategic asset for AI.

In this session, you will learn:

The DPROD Advantage: Understand how DPROD provides a structured framework to organise and align your data, turning general AI capabilities into domain-specific intelligence.
Reversing the Intelligence Pipeline: Discover practical steps to integrate external AI models with your internal data, creating a robust semantic foundation.
Real-World Implementations: Explore case studies and hear real-life insights from practitioners implementing DPROD in production.
Actionable Strategies: Gain a step-by-step roadmap for transforming fragmented data into a cohesive, AI-ready asset.
The graph community isn’t just adapting to the AI era - we’ve been quietly laying the foundation for years. As AI reshapes industries, the real competitive edge lies in how well organisations, vendors, and practitioners come together to connect and organise enterprise data. DPROD provides the framework to make this possible, and momentum is building. But the window of opportunity is closing fast - it’s time to align.