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Dr. Miro Marchi and Michal Trnka explore 10 of the most useful graph entity states using Cypher to enrich entities with contextual information enabling powerful interactions.

This presentation by Christophe Willemsen, CTO, GraphAware, guides you through security best practices for Neo4j development.

Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs

In this video, Michal Bachman, CEO of GraphAware, discusses how graph data can be used to identify unknown unknowns in intelligence. He emphasizes the importance of context in gaining a …

Mayank Gupta, SVP of Data and Wren Chan, VP of Foundational Architecture and Innovation from LPL Financial present how they use GraphAware Hume and Neo4j to power financial chat bots.

Demonstration of GraphAware Hume, a graph-powered insights engine. Shows how Hume can be applied to processing and analysing structured data to surface insights. The use case for this demo is …