How PwC Germany Combats Money Laundering in Crypto Space with Neo4j

What Is the Financial Action Task Force? The Financial Action Task Force (FATF) is the leading actor in drafting effective guidelines and regulations to combat criminal activity within financial systems. Since the FATF was established, its recommendations have driven global… Read more →

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Jim Webber with Asurion’s Julie Fisher on Her Singular Path to Graph

At this year’s NODES 2021 closing keynote, Dr. Jim Webber, Neo4j’s Chief Scientist, unearthed some of Neo4j’s most varied and vibrant community members and customers to give them a chance to tell their graph stories. As he said in his… Read more →

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It’s Officially Fall: Let’s Catch Up on What You Missed This Summer

That’s right – it’s fall! Time to break out your sweaters, jump in piles of leaves, and warm up with pumpkin spiced lattes. What does this have to do with webinars? Nothing really, but it’s one of my favorite times… Read more →

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Financial Services: The Next Evolutionary Step Is Graph Technology

Discover the financial industry’s biggest OPEX spent issues caused by insufficient payment transparency and incomplete Transaction Monitoring.

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#GraphCast: FinCEN Files – How Banks Move Dirty Money Around the World

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 →

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Analyzing the FinCEN Files with Neo4j

The ICIJ used Neo4j to expose a vast money laundering network running through Western banks. This blog analyzes the FinCEN Files data.

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Combating Money Laundering: Graph Data Visualizations

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

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Combating Money Laundering: AML Graph Algorithms

Read blog five in this six-part series on fighting money laundering with graph technology; this week we focus on useful AML graph algorithms.

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Combating Money Laundering: Sprints with Money Queries

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

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Combating Money Laundering: AML Compliance Program Design

Read the second blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

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Combating Money Laundering: Graph Tech Fights Serious Crimes

Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.

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7 Reasons Why Effective Compliance Management Is Only Possible with a Graph-Based Solution

Learn about the effects of money laundering, and why risk management – along with graph technology – helps protect financial and reputational damage.

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Financial Services & Neo4j: Anti-Money Laundering

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 →

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The 5-Minute Interview: Aaron Wallace, Product Manager at Pitney Bowes

“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 →

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The 5-Minute Interview: Chuck Kane, Director of Global Solutions at Pitney Bowes

“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 →

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Detect & Investigate Financial Crime Patterns with Linkurious

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 →

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