Knowledge Graphs
Knowledge graphs are data structures that organize information as interconnected entities, such as people, systems, concepts, or events, and the relationships between them. By capturing these links in a structured, graph-based format, knowledge graphs enable AI systems and applications to understand context, infer connections, and retrieve information more intelligently.
Why it Matters:
They power contextual intelligence for enterprise search, recommendation systems, and data integration.
QAT Global builds knowledge graph architectures to unify fragmented enterprise data for more intelligent decision-making. When delivering IT staffing services to clients, our recruiters can source data engineers and ontologists skilled in graph databases such as Neo4j or AWS Neptune to meet client project needs.
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