Financial Services & Neo4j: Anti-Money Laundering
By Bryce Merkl Sasaki
June 26, 2017|
Reading time: 3 minutes
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 →
Keywords: 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|
Reading time: 3 minutes
“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 →
Keywords: 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|
Reading time: 3 minutes
“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 →
Keywords: 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|
Reading time: 5 minutes
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 →
Keywords: AML • anti-money laundering • cypher • financial crime • fraud detection • Geospatial • Insurance Fraud • Linkurious • tax evasion • terrorism funding
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