#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
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.
Explore: AML • anti-money laundering • cypher • Data Visualization • Financial Crimes Enforcement Network • FinCEN Files • graph data science • icij • Knowledge Graph • money laundering
Combating Money Laundering: Graph Data Visualizations
By David Penick
September 14, 2020 2 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: AML • Bloom • graph data visualizations • graph visualization • React • shared attributes • tableau
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.
Explore: AML • graph algorithms • money laundering • payment chains • predictive analytics
Combating Money Laundering: Sprints with Money Queries
By David Penick
August 31, 2020 2 mins read
Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.
Explore: AML • anti-money laundering • Bloom • cypher • graph algorithms • graph data science • money queries
Combating Money Laundering: AML Compliance Program Design
By David Penick
August 17, 2020 < 1 min read
Read the second blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.
Explore: AI / Machine Learning • AML • aml compliance • graph algorithms • graph data science • money laundering • money laundering detection
Combating Money Laundering: Graph Tech Fights Serious Crimes
By David Penick
August 10, 2020 < 1 min read
Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.
Explore: AML • artificial intelligence • machine learning • money laundering • natural language processing • Panama Papers
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.
Explore: AML • anti-money laundering • compliance and risk management • graph technology • graphconnect • layering • risk analysis • Security • solution • Structr
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
The 5-Minute Interview: Aaron Wallace, Product Manager at Pitney Bowes
By Rachel Howard
May 26, 2017 4 mins read
“We knew we couldn’t come to market with the same old solution and be competitive – so we decided to explore a differentiated solution,” said Aaron Wallace, Product Manager at Pitney Bowes. As a software company prepared to enter the… Read more →
Explore: 5-minute interview • AML • customer information management • data lineage • data quality • financial services • Master Data Management • metadata management • Pitney Bowes • Retail
The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes
By Rachel Howard
March 17, 2017 3 mins read
“Moving from relational to graph, it takes time to learn to step back from your data and ask, ‘What more can I do?’” said Chuck Kane, Director of Global Solutions at Pitney Bowes. The company partnered with Neo4j to provide… Read more →
Explore: 5-minute interview • AML • Connected Data • Data Relationships • fraud detection • graph database • neo4j • pattern analysis • Pitney Bowes • relational database
Detect & Investigate Financial Crime Patterns with Linkurious
By Bryce Merkl Sasaki
October 7, 2016 5 mins read
Linkurious is a Bronze sponsor of GraphConnect San Francisco. Meet their team on October 13-14th at the Hyatt Regency SF. Using Graphs to Fight Financial Crime Financial crime can take many forms: money laundering, terrorism funding, corruption, tax evasion, insurance… Read more →
Explore: AML • anti-money laundering • cypher • financial crime • fraud detection • Geospatial • Insurance Fraud • Linkurious • tax evasion • terrorism funding