Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
January 19, 2023 7 mins read
The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →
Keywords: Big Data • Connected Data • graph database • graph technology • Graph Theory • index free adjacency • native graph database • neo4j • nosql • rdbms
Better Together With AWS: The 5-Minute Interview With Roya Niki Hugosson
By Angela Zimmerman
December 19, 2022 2 mins read
“We went together with Neo4j and told this Better Together story… Speed and cost, they are important, and that’s what customers can get with Neo4j’s graph,” Roya Niki Hugosson, Strategic Account Manager, ISV, Amazon Web Services.
Keywords: 5-minute interview • amazon web services • AWS • graph technology • GraphConnect 2022 • Interview • neo4j
1 Year Anniversary: Webinars, Demos, Connections – Oh My!
By Enzo
June 8, 2022 5 mins read
Watch the coolest webinars from the last few months, from Graphs4Good to live demos of fraud detection and machine learning.
Keywords: AuraDB • Bloom • cloud • connections • demos • features • fraud detection • graph data science • graph database • intelligent applications
GraphConnect 2022: 10 Sessions You Don’t Want to Miss
By Enzo
May 24, 2022 10 mins read
Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.
Keywords: accenture • Adobe • Agenda • audience • Austin • blockchain • cybersecurity • data science • dell • Developer
Graphs for Cybersecurity: Introduction
By Enzo
April 29, 2022 5 mins read
Cyberattacks had been on the rise for years. Learn how to defend against cybercrimes with modern graph technology.
Keywords: COVID • cyber threat • cyberattack • Cybercrime • cybersecurity • data security • graph database • graphs • Security
Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs
By Enzo
April 19, 2022 9 mins read
Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.
Keywords: ai • AuraDB • cloud • data model • deep learning cafe • document databases • fraud detection • GCP • Google Cloud • Graph Databases
Cybersecurity: To Graph or Not to Graph. That Is the Query.
By Angela Zimmerman
April 15, 2022 4 mins read
Don’t miss these insightful presentations on cybersecurity from the event Connections: Combatting Modern Cyber Threats with Graph Databases.
Keywords: Analytics • cloud • connections • cyberattack • cybersecurity • cyberthreats • digital twin • graph • Graph Databases • insights
Graph Embeddings: AI That Learns from Your Data to Solve Problems
By Enzo
March 4, 2022 11 mins read
Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.
Keywords: ai • artificial intelligence • embeddings • GDS • graph data science • graph database • graph embeddings • machine learning • math • ML
Neo4j as an Embedded Database: The Key Use Cases of Graph Databases
By Enzo
February 2, 2022 7 mins read
Check out some of the popular use cases for graph databases that you could embed into your product or application.
Keywords: application • cybersecurity • embedded database • fraud detection • graph database • iam • IT ops • Master Data Management • MDM • Recommendation Engine
Jim Webber with Dr. Edgar Osuna: Using Graphs to Take Down Fraudsters
By Angela Zimmerman
January 13, 2022 14 mins read
Dr. Jim Webber and Dr. Edgar Osuna discuss how graph technology is used at TODO1 to identify bad actors in real-time financial crimes.
Keywords: anti-fraud • bank fraud • data science • financial crime • graph database • graph technology • TODO1
Using a Hybrid Technique to Detect Illicit Activities in Shell Companies
By Enzo
November 22, 2021 5 mins read
See how Milind Tiwari detects fraudulent activities in shell companies using graph database and graph data science.
Keywords: AML • fraud detection • graph database • illicit activities • money laundering • UK
#GraphCast: A Renaissance of Knowledge Graphs
By Deb Cameron
March 19, 2021 < 1 min read
Check out this week’s #GraphCast series for an informative podcast on knowledge graphs with Amy Hodler.
Keywords: BBBT • graph data science • GraphCast • knowledge graphs
Top 10 Use Cases: Identity and Access Management
By Jim Webber
March 15, 2021 4 mins read
Graph technology is the future. Not only do graph databases effectively store relationships between data points, but they’re also flexible in adding new kinds of relationships or adapting a data model to new business requirements. But how do companies today… Read more →
Keywords: access control • access data • access management • access permissions • data model • graph database • iam • identity management • relational database • use case
Top 10 Use Cases: Anti-Money Laundering
By Jim Webber
February 8, 2021 < 1 min read
Discover how using graph technology for anti-money laundering can help you root out fraud.
Keywords: AML engine • anti-money laundering • date modeling • fraud protection • shell companies
#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem
By Jocelyn Hoppa
February 5, 2021 < 1 min read
Check out this week’s #GraphCast, featuring our CEO Emil Eifrem on how graph technology was used to expose a global money-laundering scheme.
Keywords: FinCEN Files • Graph Theory • GraphCast • icij • money laundering
Top 10 Graph Database Use Cases: Fraud Detection
By Bryce Merkl Sasaki
January 18, 2021 < 1 min read
Discover how you can tap into the power of graph databases for fraud detection to catch criminals in real time.
Keywords: banks • e-Commerce Fraud • Financial Services Company • fraud detection • fraud ring • Graph Databases • synthetic identities • use case
Financial Services: The Next Evolutionary Step Is Graph Technology
By Jocelyn Hoppa
December 15, 2020 6 mins read
Discover the financial industry’s biggest OPEX spent issues caused by insufficient payment transparency and incomplete Transaction Monitoring.
Keywords: AML • Correspondents • financial crime • fraud • payments • risk • STP • transaction monitoring • transaction screening
Visualizing Fraud with Neo4j and GRANDstack
By Jocelyn Hoppa
December 1, 2020 7 mins read
Learn how Neo4j and the other premium tools in GRANDstack build a graph and timeline visualization app that drives fraud investigations.
Keywords: Data Visualization • fraud detection • GRANDstack • graph data model • KronoGraph • ReGraph
Find More Fraud with Graph Data Science [Infographic]
By Jessica Baumgardner
November 2, 2020 < 1 min read
Learn how graph data science enables teams financial institutions to detect even the most sophisticated fraud schemes.
Keywords: detecting fraud • financial fraud • fraud detection • GDS library • graph data science
5-Minute Interview: Graph Databases For Dummies with Dr. Jim Webber and Rik Van Bruggen
By Jocelyn Hoppa
October 15, 2020 5 mins read
Recently we sat down with the authors of Graph Databases For Dummies, Neo4j Special Edition, Dr. Jim Webber and Rik Van Bruggen. Dr. Webber is Neo4j’s Chief Scientist and Mr. Van Bruggen leads the Neo4j sales team in Europe, and… Read more →
Keywords: graph database • graph databases for dummies • learning neo4j • Neo4j Community
Insider Guide to Graph Data Science: First, a Brief Overview
By Jocelyn Hoppa
October 12, 2020 6 mins read
Check out the first installment in this blog series on insider tips and tricks for the Neo4j Graph Data Science Library.
Keywords: graph algorithms • Graph Analytics • graph data science • graph embeddings • graph export • in-memory graph • machine learning
Top 10 Speakers to Look Out for at NODES 2020
By Enzo
October 8, 2020 6 mins read
Check out the top 10 speakers, including graph experts from NASA, Google and Neo4j, presenting at Neo4j Online Developer Expo and Summit.
Keywords: Graph Databases • graph developer • Neo4j developer • nodes 2020 • online event
Chaos Engineering with Neo4j
By Allison Wu
September 23, 2020 9 mins read
Explore how to do chaos engineering if Neo4j is part of your application stack, and obtain foreknowledge of how to save the day when bad things happen.
Keywords: chaos engineering • failure injection testing • fraud detection • graphconnect • identity management • Master Data Management • Recommendation Engine
Analyzing the FinCEN Files with Neo4j
By Jocelyn Hoppa
September 22, 2020 7 mins read
The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.
Keywords: AML • anti-money laundering • cypher • Data Visualization • Financial Crimes Enforcement Network • FinCEN Files • graph data science • icij • Knowledge Graph • money laundering
Predicting Fraud: 5-Minute Interview with Marius Hartmann
By David Penick
September 18, 2020 3 mins read
Check out this week’s 5-Minute Interview with Marius Hartmann, Chief Advisor at the Danish Business Authority, about predicting fraud.
Keywords: 5-minute interview • AI explainability • fraud detection • graph data science • machine learning • shortest path