Introducing Graph Databases For Dummies
By Jocelyn Hoppa
September 16, 2020 7 mins read
Check out some main highlights from Chapter 1 of the newly release Graph Databases For Dummies, Neo4j Special Edition.
Keywords: data models • graph database basics • Graph Database for Dummies • labeled property graphs • queries at scale
Combating Money Laundering: AML Graph Algorithms
By Deb Cameron
September 8, 2020 5 mins read
Read blog five in this six-part series on fighting money laundering with graph technology; this week we focus on useful AML graph algorithms.
Keywords: AML • graph algorithms • money laundering • payment chains • predictive analytics
#GraphCast: How to Solve a Crime with Graph Theory
By Jessica Baumgardner
July 31, 2020 < 1 min read
Check out this week’s #GraphCast, featuring a brief explainer video on how graph theory could be used to solve crimes. Watch the video to learn more.
Keywords: crime data • crime network • data science • financial crime • fraud detection • graph database • GraphCast
Neo4j Bloom Tips and Tricks for Domain Knowledge Experts
By Enzo
July 29, 2020 9 mins read
Master graph data visualization in Neo4j Bloom from choosing a data model, fitting it to domain and exploring six generic patterns without needing to code.
Keywords: Bloom tips • data modeling • domain expert • graph data model • graph data visualization • graph visualization • Neo4j Bloom
From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j
By Jocelyn Hoppa
July 21, 2020 5 mins read
Discover how Neo4j shifted this company move to a “know your network” process to connect disparate data sources and conduct better analysis.
Keywords: ai • anti-money laundering • data lake • json • know your customer • know your network • Panama Papers • paradise papers • tax evasion
The Power of Graph Data Science: 5-Minute Interview with Alicia Frame
By David Penick
July 10, 2020 3 mins read
Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.
Keywords: 5-minute interview • ai • artificial intelligence • data science • graph algorithms • graph data science • python
Getting Started with Neo4j Fabric
By Jocelyn Hoppa
July 2, 2020 7 mins read
Learn everything you need to know to get started with Neo4j Fabric, a new 4.0 feature allowing you to store and retrieve data in multiple databases.
Keywords: cypher • data federation • data sharding • fine-grained access control • multiple dbms • Neo4j 4.0 • Neo4j Desktop • Neo4j Fabric • querying multiple databases • running correlated subqueries
Graphs Everywhere: 5-Minute Interview with Jean Villedieu, Co-Founder of Linkurious
By David Penick
June 26, 2020 3 mins read
Read this week’s 5-minute interview with Jean Villedieu from Linkurious about how his company uses Neo4j’s graph technology.
Keywords: 5-minute interview • graph technology • Jean Villedieu • Linkurious • Neo4j Community • Panama Papers
Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database
By Jocelyn Hoppa
June 25, 2020 6 mins read
Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.
Keywords: Big Data • data analytics • data science • fraud • graph database • machine learning • Paul Newman • relational database • social media • sql
7 Reasons Why Effective Compliance Management Is Only Possible with a Graph-Based Solution
By Allison Wu
June 10, 2020 15 mins read
Learn about the effects of money laundering, and why risk management – along with graph technology – helps protect financial and reputational damage.
Keywords: AML • anti-money laundering • compliance and risk management • graph technology • graphconnect • layering • risk analysis • Security • solution • Structr
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
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.
Keywords: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
Neo4j Is in Bloom Everywhere This Spring
By Jocelyn Hoppa
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.
Keywords: cypher • graph algorithms • graph data science • Neo4j 4.0 • Neo4j Aura • Neo4j Bloom • Neo4j Desktop
Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud
By David Penick
April 27, 2020 2 mins read
Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: AI / Machine Learning • blog • cypher • data lakes • data science • Financial Fraud Detection • Fraud Rings • Graph Algorithm • graph database • graph technology
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 6 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
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.
Keywords: 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
By Jocelyn Hoppa
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.
Keywords: ai • artificial intelligence • Connected Data • Deep Tensor • Fujitsu • Graph Databases • graph technology • knowledge graphs • Larus • ML
See Your Graphs in Bloom: The 5-Minute Interview with Anurag Tandon, Neo4j
By Deb Cameron
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.
Keywords: 5-minute interview • Bloom • cypher • Data Visualization • fraud detection • graph data visualization • Knowledge Graph • Master Data Management
Detecting Cryptocurrency Fraud with Neo4j
By Jocelyn Hoppa
March 30, 2020 7 mins read
As cryptocurrency is likely to play a big role in the future of finance, link analysts need graph visualization fraud detection tools that are up to the job.
Keywords: Bitcoin • blockchain • cryptocurrency • fraud • fraud detection • graph database • graph visualization • neo4j
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Announcing the Neo4j GraphTour in 8+ Cities Worldwide
By Bryce Merkl Sasaki
January 29, 2020 3 mins read
Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →
Keywords: Connected Data • cypher • data integration • Graph Analytics • graph database • graph technology • graphconnect • GraphTour • neo4j • Neo4j Community
Graph Theory Takes on the Opioid Epidemic
By Allison Wu
November 27, 2019 12 mins read
Delve into how graph databases offer value to a variety of use cases, particularly health care and – more recently – the opioid epidemic.
Keywords: centrality • Connected Data • context • datacon • fraud • graph algorithms • graphconnect • Healthcare • opioid • opioid epidemic
Responsible AI: The Critical Need for Context (and Practical Tips)
By Jocelyn Hoppa
November 26, 2019 9 mins read
Read the second and final installment of this blog series on responisble AI, why context is critical to achieving responsible AI, and get practical tips.
Keywords: ai and context • community detection • data lineage • data manipulation • fraud • graph algorithms • Graph Data • Graph Theory • healthcare data • machine learning
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 9 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Keywords: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
By Jocelyn Hoppa
November 15, 2019 < 1 min read
Catch this week’s GraphCast: Watch this entertaining presentation on graph databases and learn the reasons and ways they are life-changing for developers.
Keywords: cypher • Ed Finkler • emil eifrem • graph database • GraphCast • GraphStory • neo4j • NODES 2019
Introducing Neo4j AuraDB: A New Graph Database as a Service
By Jocelyn Hoppa
November 6, 2019 4 mins read
Discover unique features of Neo4j AuraDB, the first fully managed native graph database as a service, and why it was built to be developer friendly.
Keywords: ACID • Connected Data • cypher • database as a service • DBaaS • GRANDstack • GraphQL • intelligent applications • native graph database • Neo4j Aura