Graph-Powered Recommendations: How Smart Recommendations Drive Value
May 11, 2020 3 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: artificial intelligence • ecommerce • graph-based technologies • machine learning • personalized experience • Recommendation Engines • Recommendations • relational
This Week in Neo4j – Flight Search GRANDstack app, COVID-19 Graph Analytics, Power Laws
May 9, 2020 4 mins read
Hi graph gang, In this week’s video, we have an interview with David Fox, Senior Software Engineer at Adobe. Rik Van Bruggen runs graph algorithms over the COVID-19 Contact Tracing Graph, Nathan Smith explores power laws, and Michael Simons demonstrates… Read more →
Explore: Adobe • APOC • covid-19 • Grand Stack • Neo4j sandbox • Networks Crowds Markets • power law • twin4j
#GraphCast: How a Social Knowledge Graph Improves Remote Collaboration
May 8, 2020 < 1 min read
Check out this week’s #GraphCast, featuring a talk on how a social knowledge graph enhances remote collaboration through instant messenger analysis.
Explore: contextual search • GraphCast • instant messaging • Knowledge Graph • knowledge graphs • slack • team collaboration
Practical Applications of Neo4j 4.0
May 7, 2020 12 mins read
Learn about practical applications in the newly released Neo4j 4.0, with our partner GraphAware using specific examples to showcase the benefits.
Explore: granular security • graph algorithms • graph database • GraphAware • GraphTour • Knowledge Graph • machine learning • multi-database • Neo4j 4.0 • Scalability
Being in Control and Staying Agile with Graph Requires Shifting Left at ING
May 6, 2020 22 mins read
Stay agile and in control with graph, which requires shifting left and designing architecture that eliminates migrations and ensures consistency.
Explore: apache cassandra • architecture • graph model • graphconnect • ING • Neo4j Admin Import • nosql • pets versus cattle • pipeline • shifting left
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • Python
This Week in Neo4j – Social Knowledge Graph, COVID-19 Contact Tracing, Graph Mutability in GDS
May 2, 2020 4 mins read
Hi graph gang, In this week’s video, Jans, Niels, and Morgan show how to build a social knowledge graph based on data from collaboration tools that we use at Neo4j. Rik Van Bruggen queries the COVID-19 Contact Tracing Graph, Tomaz… Read more →
Explore: covid-19 • Graph App • graph data science • Neo4j Bloom • stored procedures • twin4j
Lean Graph Data Models Drive Fast Innovation: A Fireside Chat with David Fox, Senior Software Engineer at Adobe
May 1, 2020 6 mins read
Check out this fireside chat with David Fox of Adobe, who discusses how Adobe’s Behance social media platform works with Neo4j.
Explore: Adobe • Behance • Cassandra • cypher • David Fox • DevOps • fireside chat • graph data model • IT ops • neo4j
Neo4j Is in Bloom Everywhere This Spring
April 30, 2020 5 mins read
Discover the benefits of the most recent update to Neo4j Bloom, a data visualization tool to help you explore data connections.
Explore: cypher • graph algorithms • graph data science • Neo4j 4.0 • Neo4j Aura • Neo4j Bloom • Neo4j Desktop