Better Together With AWS: The 5-Minute Interview With Roya Niki Hugosson
By Angela Zimmerman
December 19, 2022 2 mins read
“We went together with Neo4j and told this Better Together story… Speed and cost, they are important, and that’s what customers can get with Neo4j’s graph,” Roya Niki Hugosson, Strategic Account Manager, ISV, Amazon Web Services.
Keywords: 5-minute interview • amazon web services • AWS • graph technology • GraphConnect 2022 • Interview • neo4j
Network Observability Using Knowledge Graphs at Commonwealth Bank Australia
By Angela Zimmerman
October 31, 2022 12 mins read
During Neo4j’s inaugural GraphSummit, we had the pleasure of hosting partners and customers to share insights and stories behind their connected data experiences. We will be featuring more of them in this series of blogs – so watch this space for more recaps.
Keywords: banking • customer use case • cybers • cybersecurity • finance • GraphSummit 2022 • Knowledge Graph • presentation
Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs
By Enzo
May 17, 2022 10 mins read
Find out how LPL Financial uses knowledge graphs in the FinServ industry to synthesize 30 years of data pipelines.
Keywords: ai • data pipelines • finserv • graph database • knowledge graphs • LPL financial • neo4j • self-discovery • transformation
Graphie Pioneer in AML, Fraud, and Cybersecurity: 5-Minute Interview with PwC Canada
By Angela Zimmerman
February 10, 2022 9 mins read
We were delighted to honor PwC Canada with a Graphie Award for being a Pioneer in AML, Fraud, and Cybersecurity, and had the pleasure of sitting down with Sam Samon, Partner, Financial Crime Technology at PwC, to discuss his work and the win.
Keywords: 2021 graphie awards • AML • anti-fraud • AuraDB • banking • Bloom • Connected Data • cybersecurity • financial crime • financial services
#GraphCast: Current Leverages Neo4j for a Modern Banking Approach
By Allison Wu
April 2, 2021 1 min read
Catch this week’s #GraphCast on how Current leverages Neo4j and Cypher to create a modern, innovative banking approach.
Keywords: Current • cypher • financial services • graph standard • graph technology • GraphCast
Graphs in China: 5-Minute Interview with Richard Wu & George Zhang
By Greta Workman, Marketing Coordinator
February 26, 2021 2 mins read
Read this interesting interview with the co-founders of Beijing We-Yun on how they use Neo4j’s graph technology to help their business.
Keywords: Beijing We-Yun • chinese medicine • copyright management • covid-19 • cypher • graph database • knowledge graphs • WeChat
#GraphCast: Follow the Money, Untangling Complex Fraud Networks with Emil Eifrem
By Jocelyn Hoppa
February 5, 2021 < 1 min read
Check out this week’s #GraphCast, featuring our CEO Emil Eifrem on how graph technology was used to expose a global money-laundering scheme.
Keywords: FinCEN Files • Graph Theory • GraphCast • icij • money laundering
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.
Keywords: ai • contact tracing • covid-19 • FinCEN • fraud detection • graph data models • graph feature engineering • knowledge graphs • ML • neo4j course
The Lean-In Moment: 5-Minute Interview with Paul Westcott
By David Penick
October 16, 2020 3 mins read
Check out this week’s 5-Minute Interview with Paul Westcott, Product Director at Dun & Bradstreet, about his success with Neo4j.
Keywords: 5-minute interview • Dun & Bradstreet • financial services • Graph Algorithm • graph database
#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 →
Keywords: 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.
Keywords: AML • anti-money laundering • cypher • Data Visualization • Financial Crimes Enforcement Network • FinCEN Files • graph data science • icij • Knowledge Graph • money laundering
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →
Keywords: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Demographics Master Data at Citigroup
By Corin Gainey
December 12, 2019 22 mins read
Walter Trotta explains how graphs help him and Citibank dive deeply into demographics master data and what they get from this information.
Keywords: Connected Data • cypher • data challenges • data domain • data governance • data model • graph database • Graph Databases • graphconnect • Knowledge Graph
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.
Keywords: anti-money laundering • fraud detection • Graph Databases • graph technology • money laundering • money laundering compliance
#GraphCast: The Laundromat [Panama Papers Movie]
By Bryce Merkl Sasaki
August 30, 2019 2 mins read
Check out this week’s #GraphCast, featuring a trailer of “The Laundromat” (starring Meryl Streep), a movie about the Panama Papers investigation powered by Neo4j.
Keywords: graph database • graph visualization • GraphCast • icij • international consortium of investigative journalists • money laundering • Mossack Fonseca • Panama Papers • tax evasion
Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019 < 1 min read
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Keywords: ai • banking • financial services • fraud • graph database • iam • machine learning • Master Data Management • MDM • webinar
Neo4j Bloom 1.1: Simple, Powerful & Team Ready [Release]
By Bryce Merkl Sasaki
June 6, 2019 4 mins read
Discover what’s new in the 1.1 release of the Neo4j Bloom graph data visualization tool, including internet browser capabilities and new role-based security.
Keywords: Connected Data • cypher • Data Visualization • dba • Graph Analytics • graph database • graph traversals • graph visualization • Neo4j Bloom • Neo4j Desktop
15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS
By Michael Hunger
May 24, 2019 4 mins read
I just returned from Venice, where enjoyed not only the weather and food but … Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →
Keywords: APOC • etl • Graph Analytics • Kafka • Larus • machine learning • Neo4j ETL • Neo4j Kafka integration • Neo4j Labs • Neo4j partner
Connecting Compliance: 5-Minute Interview with Christian Tsambikakis
By Jocelyn Hoppa
May 3, 2019 2 mins read
Check out this 5-minute interview with Christian Tsambikakis, CEO of KERBEROS Compliance and learn how they use Neo4j for their compliance solution.
Keywords: 5-minute interview • anti-money laundering • Christian Tsambikakis • compliance • financial services • graph database • Kerberos • neo4j • Structr
#GraphCast: Bliss Out to Neo4j Bloom
By Jocelyn Hoppa
April 12, 2019 2 mins read
Check out this week’s #GraphCast, featuring a 12-minute video with Rik Van Bruggen as he gives viewers a tour of Neo4j Bloom, our data visualization tool.
Keywords: data analytics • data patterns • Data Visualization • financial transactions • Graph Data • graph exploration • GraphCast • Neo4j Bloom
Leveraging Data Science Tools for Fraud Investigation
By Jocelyn Hoppa
February 6, 2019 15 mins read
Editor’s Note: This presentation was given by Paul Starrett at GraphConnect New York in October 2017. Presentation Summary This blog focuses on how to take advantage of certain actively used data-science tools synergistically, and how to use a graph database… Read more →
Keywords: Big Data • data science • fraud • Graph Visualizations • graphconnect • machine learning • natural language processing • predictive analytics • private investigator • structured data
Tackling Hard Problems Head-On: 5-Minute Interview with Hilary Mason, General Manager for Machine Learning at Cloudera
By Jocelyn Hoppa
January 25, 2019 5 mins read
“Bad ideas are the gateway to the best ideas,” said Hilary Mason, General Manager for Machine Learning at Cloudera. Problems that look impossible intrigue Mason, the founder of Fast Forward Labs (now Cloudera Fast Forward Labs). If clients only bring… Read more →
Keywords: 5-minute interview • ai • artificial intelligence • Cloudera • data science • graph technology • Hilary Mason • machine learning • machine learning analysis • neo4j
Intelligent Recommendation Engine for Financial Analysts
By Jocelyn Hoppa
December 7, 2018 8 mins read
Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →
Keywords: Data Relationships • financial analysis • financial data insight • graph database • graphconnect • Knowledge Graph • natural language processing • property graph • Recommendation Engine • Thomson Reuters
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018 20 mins read
Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include… Read more →
Keywords: Connected Data • ecommerce • elasticsearch • graphconnect • Knowledge Graph • machine learning • Master Data Management • natural language processing • Recommendation Engine