Graph intelligence: the future of data-driven investigations

RDF and graph databases are on the rise. The performances, flexibility, and scalability of these systems are attracting a large number of organizations struggling with complex and connected data. While the graph approach offers several advantages, finding insights into the enormous volume of data remains a challenge. In this presentation, we will introduce Graph Intelligence, […]

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Graphs in space: a guide to visualizing geospatial networks

Many of today’s geospatial graph projects deal with distance queries or path-finding problems such as, ‘what’s my fastest route to the airport?’, or, ‘where’s the nearest 5* restaurant?’. Geospatial graphs are good at providing answers fast, but their value doesn’t stop there. They can solve many more complex problems too. Drawing from Cambridge Intelligence’s rich […]

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The Connected Data Landscape

We are often asked what Connected Data is as a discipline or concept. It’s a difficult question to answer, partly because in our mind it is a broad church featuring a range of technologies and skillsets but also because it’s an emerging area whose scope, best practices and skillsets is constantly undergoing refinement inline with […]

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