With the aim to monitor, prevent, and predict cyber attacks on various systems and infrastructures, the cyber defence company needed a solution to ingest and connect all available data and discover threat patterns.
Christophe Willemsen describes Role Based Access Control (RBAC), intra-cluster encryption and logging in Neo4j.
Luanne Misquitta shows how to use the results of a UNION Cypher query.
Luanne Misquitta explains how to produce good starting-point recommendations for whisky using Cypher that are of higher quality than those we see at our favourite online stores.
Vlasta Kůs takes us through converting a corpus of research papers through Natural Language Processing, entity (relation) extraction and graph algorithms to highly informative connected insights organized in a knowledge graph.
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 deeper understanding of complex systems and how graph data can reveal patterns, relationships, and connections that were previously unknown. Overall, the video provides valuable insights into the potential applications of graph data in intelligence.
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 coronavirus contact tracing and smart quarantine.
This session features Dr. Alessandro Negro, noted graph database author and Chief Scientist at GraphAware, along with Patrick Wall, Director of Product Marketing at Neo4j. During this webinar, GraphAware explores the powerful scalability features of Neo4j 4.0 in a live demo using the COVID-19 Open Research Dataset.
