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.
Explore: banks • e-Commerce Fraud • Financial Services Company • fraud detection • fraud ring • Graph Databases • synthetic identities • use case
11 Awesome Neo4j Blogs from 2020
By Jocelyn Hoppa
December 29, 2020 6 mins read
Check out 11 awesome Neo4j blogs from 2020 on topics ranging from FinCEN files and COVID-19 graphs to knowledge graphs and AI.
Explore: ai • contact tracing • covid-19 • FinCEN • fraud detection • graph data models • graph feature engineering • knowledge graphs • ML • neo4j course
Allianz Benelux is Using Graph Technology to Beat Fraud and Boost Customer-Centricity
By Finance Derivative - December 3, 2020
Explore: Allianz Benelux • Financial Fraud Detection • fraud detection • graph database • Graph Database Technology • Insurance • Insurance Fraud
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.
Explore: Data Visualization • fraud detection • GRANDstack • graph data model • KronoGraph • ReGraph
Wer Kunden schützen will, braucht Daten
By vb Versicherungsbetriebe - November 27, 2020
Explore: Allianz Benelux • fraud detection • Graph Database Technology • Insurance • Insurance Fraud • Insurance Industry
Podcast: How to speed up AI solutions to target and identify money launderers
By IBS Intelligence - November 18, 2020
Explore: ai • anti-money laundering • artificial intelligence • fraud detection • podcast
Banks Explore Graph Technology to Tackle Data Complexity for Compliance
By Waters Technology - November 11, 2020
Explore: anti-money laundering • compliance • fraud detection • graph technology
The Neo4j BI Connector: Introduction
By David Penick
November 16, 2020 < 1 min read
Read blog one in our five-part series on how the Neo4j BI Connector bridges the gap between the tools people love and the query language those tools use.
Explore: bi-connector • fraud detection • jdbc • Looker • low code/no code integration • Neo4j Enterprise Edition • tableau
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.
Explore: detecting fraud • financial fraud • fraud detection • GDS library • graph data science
Combatting coronavirus Aid Fraud with graph technology
By Banking Sector - October 23, 2020
Explore: banking • Banking Fraud • fraud detection • graph fraud detection
ICIJ Turns to Big Data Tech to Unravel FinCEN Files
By Datanami - September 25, 2020
Explore: anti-money laundering • Financial Fraud Detection • FinCEN Files • fraud detection • graph database • Graph Database Technology • icij
Allianz – we’ve made €2m profit using graph technology
By Diginomica - September 25, 2020
Explore: Allianz Benelux • financial data • financial technology • fraud detection • graph database • Graph Database Technology • graph technology
#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World
By Enzo
September 25, 2020 < 1 min read
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our Editorial Assistant, Corin Gainey, gave us a quick start to Summer of Nodes with Neo4j Sandbox.… Read more →
Explore: AML • anti-money laundering • FinCEN • FinCEN Files • FinCEN investigation • fraud detection • icij • money laundering
What was the data approach to breaking The FinCEN Files?
By Diginomica - September 24, 2020
Explore: Financial Fraud Detection • FinCEN Files • fraud detection • graph database • Graph Database Technology
Stopping COVID-19 related crime using graphical data
By Fintech Bulletin - September 23, 2020
Explore: fraud detection • fraud monitoring • graph algorithms • graph database • Graph Database Technology • graph technology • Healthcare • healthcare fraud detection
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.
Explore: chaos engineering • failure injection testing • fraud detection • graphconnect • identity management • Master Data Management • Recommendation Engine
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.
Explore: 5-minute interview • AI explainability • fraud detection • graph data science • machine learning • shortest path
#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.
Explore: crime data • crime network • data science • financial crime • fraud detection • graph database • GraphCast
Mit Graphtechnologie Betrügern einen Schritt voraus
By Publicus - July 14, 2020
Explore: Coronavirus • COVID • covid-19 • fraud detection
This Week in Neo4j – Web Applications with Neo4j and TypeScript, Neo4j Desktop Release, Graph Embeddings Tutorial
By Mark Needham
July 11, 2020 4 mins read
Hi graph gang, In this week’s video, Adam Cowley starts a video showing how to build web applications with Neo4j and TypeScript. Stefan Dreverman builds a new module in the low code platform, Rik Van Bruggen explains what Fraud Detection… Read more →
Explore: fraud detection • graph data science • graph embeddings • low-code • nestjs • node2vec • spring boot • twin4j
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 2 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
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.
Explore: 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.
Explore: Bitcoin • blockchain • cryptocurrency • fraud • fraud detection • graph database • graph visualization • neo4j
Anti-Money Laundering Compliance with Graph Technology [Infographic]
By Jessica Baumgardner
November 5, 2019 < 1 min read
Money laundering is a major challenge for financial organizations. Learn how graph technology solves compliance challenges associated with money laundering.
Explore: anti-money laundering • fraud detection • Graph Databases • graph technology • money laundering • money laundering compliance
This Week in Neo4j – New Book: Fullstack GraphQL Applications with GRANDstack, Leveraging Graph Algorithms In Visualizations, Marketing Activities in Neo4j
By Mark Needham
October 26, 2019 4 mins read
Check out this week’s TWIN4J, in which Mark Needham wraps up the latest on the new book on full-stack GraphQL, graph algorithms and more.
Explore: datetime • fraud detection • GRANDstack • graph algorithms • malware analysis • neovis.js • Networks Crowds Markets • twin4j