From Know Your Customer to Know Your Network: A Paradigm Shift Empowered by Neo4j
By Jocelyn Hoppa
July 21, 2020 5 mins read
Discover how Neo4j shifted this company move to a “know your network” process to connect disparate data sources and conduct better analysis.
Keywords: ai anti-money laundering data lake json know your customer know your network Panama Papers paradise papers tax evasion
Graphs Everywhere: 5-Minute Interview with Jean Villedieu, Co-Founder of Linkurious
By David Penick
June 26, 2020 3 mins read
Read this week’s 5-minute interview with Jean Villedieu from Linkurious about how his company uses Neo4j’s graph technology.
Keywords: 5-minute interview graph technology Jean Villedieu Linkurious Neo4j Community Panama Papers
Augmented Intelligence: 5-Minute Interview with Demian Bellumio, NEORIS
By David Penick
May 15, 2020 2 mins read
Check out this week’s 5-minute interview with Demian Bullemio of NEORIS about his experience with graphs and favorite use cases.
Keywords: 5-minute interview AI / Machine Learning blog cypher graph data science Knowledge Graph machine learning Music property graph semantic graph
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
Neo4j Is in Bloom Everywhere This Spring
By Jocelyn Hoppa
April 30, 2020 5 mins read
Discover the benefits of the most recent update to Neo4j Bloom, a data visualization tool to help you explore data connections.
Keywords: cypher graph algorithms graph data science Neo4j 4.0 Neo4j Aura Neo4j Bloom Neo4j Desktop
Financial Fraud Detection with Graph Data Science: Identifying First-Party Fraud
By David Penick
April 27, 2020 2 mins read
Read blog three on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: AI / Machine Learning blog cypher data lakes data science Financial Fraud Detection Fraud Rings Graph Algorithm graph database graph technology
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 6 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Keywords: artificial intelligence betweeness centrality community detection algorithm cypher cypher queries data science Financial Fraud Detection fraud detection graph algorithms Graph Analytics
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
Ontologies in Neo4j: Semantics and Knowledge Graphs
By Corin Gainey
February 19, 2020 12 mins read
Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.
Keywords: artificial intelligence Big Data Connected Data graph technology Knowledge Graph machine learning neo4j ontologies ontology
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
Overcoming CCPA Compliance Challenges: Why Graph Technology Is the Best Solution
By David Penick
October 28, 2019 3 mins read
Read the final installment in our series on CCPA challenges, which shows four steps to privacy compliance and why graph technology is the superior solution.
Keywords: California Privacy Act CCPA CCPA compliance data breach data privacy GDPR graph database graph technology neo4j privacy compliance
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Keywords: call for papers graph database GraphConnect 2020 neo4j Neo4j Community
How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 12 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Keywords: ai artificial intelligence feature engineering graph embeddings graphconnect knowledge graphs machine learning ML native learning neural networks
Innovate In Less Than a Week: 5-Minute Interview with Alessandro Svensson
By Deb Cameron
September 6, 2019 6 mins read
Check out this 5-minute interview with Alessandro Svensson and discover the features and benefits of Neo4j’s Innovation Lab.
Keywords: 5-minute interview Alessandro Svensson Connected Data data model data science design thinking fast prototyping graph database graph modeling graph representation
#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
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.
Keywords: ai AI solution Boeing chatbot Data Relationships fraud detection graph algorithms graph analysis graph platform machine learning
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
Graph Algorithms in Neo4j: Louvain Modularity
By Jocelyn Hoppa
March 18, 2019 5 mins read
Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →
Keywords: community detection algorithms cypher detecting communities fraud analytics graph algorithms Graph Analytics intelligent solutions Louvain Modularity neo4j Social Networks
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
Get Control of Today’s Financial Regulations Using the Neo4j Risk Management Platform [Infographic]
By Jocelyn Hoppa
January 31, 2019 2 mins read
Financial regulations in the U.S. has become a complicated and fragmented system, but why? Various authorities creating compliance laws include a cast of six federal regulating agencies: The Federal Reserve, Office of the Comptroller of the Currency, the National Credit… Read more →
Keywords: financial regulations Graph Analytics graph database graph technology neo4j risk compliance risk management risk management platform risk reporting siloed data
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