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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Enabling the Next-Generation of Intelligent Applications

Graph databases have demonstrated the ability for organizations, from cutting-edge startups to global enterprises, to extract data intelligence that was next to impossible with traditional DBMS. However, first-generation graph databases fall short when it comes to delivering the real-time performance and scalability required to build modern applications. Memgraph is on a mission to fulfil the […]

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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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Scaling up business value with real-time operational graph analytics

Graph-based solutions have been in the market for over a decade with deployments in financial services, healthcare, retail, and manufacturing. The graph technology of the past limited them to simple queries (1 or 2 hops), modest data sizes, or slow response times, which limited their value. A new generation of fast, scalable graph databases, led […]

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The Year of the Graph: Evaluating graph databases

2018 has been another exciting year for the Graph Database landscape with several key developments, new entrants & increasing adoption. So, do you really need a graph database, and what for? How do you choose one? This panel offers a rapid introduction to the rich landscape of Graph Databases discussing options, starting points, common patterns […]

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Rebooting Connected Data in London

Tired of the AI-washing and buzzword dropping? Interested in finding the connections in your data and performing advanced analytics and reasoning? Then Connected Data may be just what you need. Now all you need is to figure out what it is. This is what i wrote last year, and these are words i still stand […]

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