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 • Graph Theory • 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
Toward AI Standards: Context Makes AI More Robust
By Jocelyn Hoppa
July 15, 2019 4 mins read
Read this third blog in our series “Toward AI Standards” and discover how graph technology adds context to data relationships for more robust AI solutions.
Explore: ai • AI application • AI solution • Boeing • chatbot • Data Relationships • fraud detection • graph algorithms • graph analysis • graph platform
Transforming the Enterprise: AI at Scale with Neo4j
By Jocelyn Hoppa
April 24, 2019 21 mins read
Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.
Explore: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning
Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018 4 mins read
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Explore: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018 4 mins read
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →
Explore: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018 5 mins read
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Explore: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018 5 mins read
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Explore: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
By Jocelyn Hoppa
October 23, 2018 5 mins read
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Explore: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
Mapping a Connected World: The Value of Geospatial Graph Visualization
By Jocelyn Hoppa
September 27, 2018 7 mins read
One of the world’s first maps featured the night sky. Surprisingly, it also featured connected data. Over 1,000 years ago, Chinese astronomers used manuscript to plot 1,300 stars, recognizing the importance of making connections between clusters to identify constellations. Their… Read more →
Explore: cyber threats • cypher • data model • fraud detection • geospatial information • graph database • graph visualization • Keylines
Taking the First Step: How to Lead a Local Neo4j GraphDB Meetup
By Jocelyn Hoppa
August 2, 2018 4 mins read
I discovered Neo4j and became instantly captivated. Finding something that made data make sense, was fun, approachable, and easier to learn, I read articles and white papers, watched videos online… but it wasn’t enough. I needed to connect, with people,… Read more →
Explore: Big Data • Connected Data • data science • fraud detection • graph algorithms • Graph Databases • graphitude • neo4j meetup • nodes • relationships
Graph Databases for Beginners: Data Modeling Pitfalls to Avoid
By Bryce Merkl Sasaki
July 31, 2018 7 mins read
With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… Read more →
Explore: Connected Data • cybersecurity • data model • data modeling • fraud detection • graph data model • graph data modeling • graph database • graph model • graph technology
This Week in Neo4j – Moving Adobe Behance from Cassandra to Neo4j, New Go Driver, Emil on The New Stack Makers Podcast
By Mark Needham
July 21, 2018 6 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week David Fox explains how his team at Adobe moved from a 48 instance Cassandra… Read more →
Explore: Adobe • APOC • emil eifrem • fraud detection • google cloud platform • Google Kubernetes Engine • python • RDF • twin4j • yFiles
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017 9 mins read
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Explore: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017 4 mins read
Reducing the risk of money laundering presents a similar challenge to that of fraud detection when it comes to today’s financial services landscape. Firms need to know where funds come from and where they are headed, but criminals use indirection… Read more →
Explore: AML • anti-money laundering • cypher • Data Visualization • financial services • fraud detection • graph technology • money transfer • smurfing • sql