As AI becomes increasingly accessible, competitive advantage will not come from deploying more AI tools, but from enabling AI to understand the business it serves.
While most AI systems can process information and generate answers, they often lack an understanding of the relationships, rules and operational context that underpin enterprise decision-making. This limits their ability to scale beyond isolated use cases and deliver transformational value.
How can organisations bridge this gap by creating a connected layer of business knowledge that gives AI the context and meaning required to operate effectively? Through the lens of ontology-driven intelligence and knowledge graphs, it will examine how enterprises can move from disconnected data and fragmented knowledge to context-aware decisions, coordinated action and measurable business outcomes.