New Case Study
Reaching the “Single Brain” with Hume
‘The amount of savings in time and effort [the search optimization] can deliver for our home offices, for our customers, is incredible.’
--Mayank Gupta, SVP for data, LPL Financial
Resources - videos - page 2
Videos, Slides, Case Studies and other GraphAware related resources
How Graph Databases Deliver Enterprise Grade Security
This presentation by Christophe Willemsen, CTO, GraphAware, guides you through security best practices for Neo4j development.
Improving Information Retrieval with Knowledge Graphs and Natural Language Processing
Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs
Knowledge Graphs to Power Financial Chat Bots
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.
Hume Contact Tracing Demo (COVID-19)
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.
Unparalleled Graph Database Scalability Delivered by Neo4j 4.0
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.
Neo4j 4.0 Security Rocks: Interview with Michal Bachman, CEO, GraphAware
In this five-minute interview (conducted at GraphTour NYC 2019), Neo4j caught up with Michal and spoke with him about everything from Neo4j 4.0 to funky use cases.
Knowledge Graphs in Action
In this presentation, you’ll learn how companies are building Knowledge Graphs with Neo4j and the Hume platform in order to surface previously undiscoverable insights. We’ll go over the process of analysing unstructured data using Machine Learning techniques and how graphs are a wonderful representation for storing Knowledge, making it naturally connectable. Lastly, a Graph Visualisation demonstration will take place, showing new insights discovered from the results of the previous operations.
Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara
Interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j (conducted at GraphTour DC 2019)
To Be or Not To Be, Neo4j Full Text Search Tips and Tricks
Christophe Willemsen, CTO at GraphAware, goes over some tips and tricks on Relevant Search with Neo4j’s Lucene based search engine.
Social media monitoring with ML-powered Knowledge Graph
Ever wondered how ML can be used to build a Knowledge Graph to allow businesses to successfully differentiate and compete today? We will demonstrate how Computer Vision, NLP/U, knowledge enrichment and graph-native algorithms fit together to build powerful insights from various unstructured data sources.