This Week in Neo4j – Spring Data Neo4j⚡RX released, Graphs4Good GraphHack COVID-19 Special, Multi Level Marketing with graphs
April 18, 2020 4 mins read
Hi graph gang, In this week’s video, Joe Depeau explains how graph algorithms are used in banking. Gerrit Meier launches Spring Data Neo4j⚡RX, Inzamam ul Haque optimises Cypher queries, and Max De Marzi builds a Multi-Level-Marketing program. And finally, Karin… Read more →
Explore: covid-19 • graph data science • Graphs4Good • multi-level marketing • spring data neo4j • twin4j
Check Out Some of This Year’s Graphs4Good GraphHack Projects
April 16, 2020 8 mins read
Discover with that Neo4j Community created for our Graphs4Good GraphHack event, which includes a number of amazing COVID-19 projects.
Explore: Global Graph Celebration Day • Graph Theory • graphHack • Graphs4Good • Leonhard Euler • Neo4j Community
Financial Fraud Detection with Graph Data Science: Augment Your Approach
April 13, 2020 5 mins read
Read blog 1 on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: community detection algorithms • Financial Fraud Detection • graph data analysis • graph data science • graph database
This Week in Neo4j – Graph Data Science Library Announced, Neo4j Reactive Drivers, SCM analytics, São Paulo’s subway system
April 11, 2020 5 mins read
Hi graph gang, In this week’s video, Greg Woods teaches us all about the new reactive Neo4j drivers. Alicia Frame officially launches the Graph Data Science Library and Tomaz Bratanic shows us how to use it with the help of… Read more →
Explore: graph data science • public transportation • reactive drivers • supply chain management • twin4j
#GraphCast: Unlimited Scalability with Neo4j 4.0
April 10, 2020 2 mins read
Check out this week’s #GraphCast, featuring a short video about the database scalability, sharding and federation capabilities now available in Neo4j 4.0.
Explore: database federation • database sharding • graph database • GraphCast • horizontal scalability • Neo4j 4.0 • Responsible AI • Scalability • Silicon Valley • vertical scalability
Announcing Neo4j for Graph Data Science
April 8, 2020 7 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
Fujitsu Laboratories of America Partners with Larus to Provide Enhanced Graph AI Technologies to Neo4j Customers
April 7, 2020 3 mins read
Fujitsu Laboratories is building on Larus’s expertise in Neo4j customer requirements and application domain knowledge with advanced graph AI technologies.
Explore: ai • artificial intelligence • Connected Data • Deep Tensor • Fujitsu • Graph Databases • graph technology • knowledge graphs • Larus • ML
This Week in Neo4j – COVID-19 Contact Tracing, Supply Chain Management, What’s new in Neo4j Desktop?
April 4, 2020 4 mins read
Hi graph gang, In this week’s video, Michal Bachman uses the Hume insights engine for contact tracing and smart quarantine in the context of the current coronavirus pandemic. TasoX demonstrates a tool for importing Windows Events into Neo4j, Rik continues… Read more →
Explore: Causal Clustering • GraphAware Hume • Neo4j Desktop • supply chain management • twin4j
See Your Graphs in Bloom: The 5-Minute Interview with Anurag Tandon, Neo4j
April 3, 2020 3 mins read
Check out this 5-minute interview with Anurag Tandon of Neo4j, who discusses graph data visualization tool Bloom and its best use cases.
Explore: 5-minute interview • Bloom • cypher • Data Visualization • fraud detection • graph data visualization • Knowledge Graph • Master Data Management