Everything you need to model real-world entities and their connections – making data exploration, analysis, and insights a breeze across various applications.
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Knowledge graphs and other visualization techniques display data from customers, partners and third parties to find relationships and yield insights in context. As they evolve and incorporate new data, these visualizations provide ROI continuously. Learn from experts and hear real-world use cases about how… Read more → |
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In this inaugural event of the APAC Connected Data Series, join us to hear about new supervised machine learning (ML) capabilities in Neo4j and learn how to train and store ML models in Neo4j with the Graph Data Science library… Read more → |
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Yesterday's breakthrough applications were driven by big data. Tomorrow's innovations will be driven by connected data. Whether your application provides customer analytics, fraud detection, or risk assessment, your users need connected data insights. In this panel discussion, experts from MANTA,… Read more →
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Statt Tabellen und Feldern, Knoten und Kanten. Mit Graphalgorithmen lassen sich komplizierte Datenbankabfragen in hoher Geschwindigkeit ausführen. Wer ein Kundennetzwerk für Big Data abbilden will, Betrugsfälle und Anomalien aufdecken muss oder eine Empfehlungsmaschine bauen möchte, setzt heute auf Graphen.
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Hosted by Neo4j Chief Scientist, Dr. Jim Webber, this event features two VPs of the APAC region – Richard Jones from Dataiku and Nik Vora from Neo4j – as they share insights from their experience using graphs with digital twins.… Read more → |
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You need the right tools to investigate and stop fraudsters in their tracks. Let’s (un)Do Crimes: Using Graph Analytics for PaySim Data Fraud Detection with Neo4j Field Engineer Dave Voutila as he explores tactics like advanced graph algorithms for detecting… Read more → |
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