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
Next-Gen Master Data Management Runs at the Speed of Now [Infographic]
By Jocelyn Hoppa
January 10, 2019 < 1 min read
Having a lot of data to mine from is a truly beautiful thing. But many businesses today struggle with data – especially as it grows and becomes more complex – that’s stored in different data repositories, not to mention different… Read more →
Keywords: data connections • data repositories • disconnected data • graph technology • Master Data Management
Mastering Highly Distributed Architecture
By Jocelyn Hoppa
January 9, 2019 14 mins read
Editor’s Note: This presentation was given by Thomas Lawrence at GraphConnect New York in October 2017. Presentation Summary Amadeus is one of the largest software companies in the world. The following post explores how the company built their YAC visualizer,… Read more →
Keywords: amadeus • data architecture • data cartography • GDPR • GDPR Compliance • graph database • graph visualization • graphconnect • Keylines • neo4j
The Top 10 Neo4j Videos of 2018
By Jocelyn Hoppa
December 28, 2018 3 mins read
Two things are certain in life: Taxes! And we’ve committed a lot to video this year. Ranking these 10 videos seemed wrong, as our video content features a wide range of subject matter. Who are we to say what’s best… Read more →
Keywords: Bloom • cypher • enterprise AI • GRANDstack • Graph Databases • graph visualization • Hilary Mason • knowledge graphs • machine learning • neo4j
KeneteK & LARUS Announce a New Graph Partnership
By Jocelyn Hoppa
December 20, 2018 7 mins read
In 2018, it’s been estimated that 80% of financial transactions still pass through a mainframe application, and in most enterprises, a mainframe app is still the center of most data propagation. This stat alone means companies struggle to find a… Read more →
Keywords: cypher • data propagation • digital transformation • grad model • Graph Databases • KeneteK • Larus • mainframe application • master data • neo4j
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018 5 mins read
Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →
Keywords: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
NLP at Scale for Maintenance and Supply Chain Management
By Jocelyn Hoppa
October 24, 2018 16 mins read
Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →
Keywords: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
Why You Should Start Thinking About Your Organization as a Graph
By Jocelyn Hoppa
October 18, 2018 6 mins read
Do you think there is no space for a graph database in your company? Or it would be a huge effort to integrate a graph database into your product? I have to tell you: You can use a graph database… Read more →
Keywords: connected dataset • corporate knowledge • Graph Databases • GraphAware • Hume • issue-tracking systems • javascript • Knowledge Graph • microservices • software development
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
Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval
By Jocelyn Hoppa
September 10, 2018 5 mins read
Sweeping regulations are changing the way banks handle risk. The Fundamental Review of the Trading Book (FRTB) represents an important shift designed to provide a firm foundation for the future. While laws passed after the financial crisis offered a patchwork,… Read more →
Keywords: Basel IV • BCBS • data lineage • data silos • FRTB • graph database • internal risk model approval • internal risk models • risk compliance • risk management
11 Must-See Speakers at GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 24, 2018 2 mins read
There are a lot of great reasons to attend GraphConnect 2018, but one of the best reasons is that every year we feature a fresh, new lineup of the world’s best graph experts sharing their experiences on how graph database… Read more →
Keywords: ai • data governance • data management • Data Scientist • graphconnect • machine learning • Master Data Management • Personalization • predictive analytics • Recommendations
Financial Risk Reporting: Graph Technology Is a Game Changer
By Jocelyn Hoppa
August 13, 2018 6 mins read
How do you prevent another global financial crisis like the one in 2008? The answer lies in better visibility into the deep connections in risk data. Armed with an understanding of risk data lineage, financial houses could have limited their… Read more →
Keywords: Connected Data • data lineage • data management • data model • FIBO • financial risk reporting • financial services • Graph Databases • graph technology • risk metadata
Democratizing Data Discovery at Airbnb
By Jocelyn Hoppa
August 1, 2018 19 mins read
Editor’s Note: This presentation was given by John Bodley and Chris Williams at GraphConnect Europe in May 2017. Presentation Summary Airbnb, the online marketplace and hospitality service for people to lease or rent short-term lodging, generates many data points, which… Read more →
Keywords: Airbnb • data discovery • data model • elasticsearch • graph database • graphconnect • python • siloed data • tableau • tribal knowledge
The Next Generation of Service Assurance: Differentiating Your Solution
By Jocelyn Hoppa
July 23, 2018 6 mins read
Successful companies are embracing next-generation service assurance that leverages a comprehensive, real-time view of services and infrastructure with an eye on end-user experiences, new service creation and predictive modeling. But to compete in today’s market, communication service providers need a… Read more →
Keywords: Connected Data • data model • Data Relationships • graph database • graph platform • graph technology • Master Data Management • relational database • service assurance solutions • telecommunications
Don’t Choose One Database… Choose Them All!
By Jocelyn Hoppa
July 19, 2018 16 mins read
Editor’s Note: This presentation was given by Dave da Silva at GraphConnect Europe in May 2017. Presentation Summary Capgemini, a global leader in consulting, technology and outsourcing services, believes that using multiple databases improves your ability to unlock the business… Read more →
Keywords: APIs • cypher • data analysis • database technology • graph database • graphconnect • machine learning • nosql • relational database • SQL databases
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018 28 mins read
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Keywords: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine
Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn
By Jocelyn Hoppa
June 29, 2018 6 mins read
“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →
Keywords: 5-minute interview • Connected Data • Graph Databases • graph model • graph technology • graphconnect • machine learning • nosql • polyglot persistence • technology stack
The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018 4 mins read
Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →
Keywords: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
Matt Casters – the Mind Behind Kettle – Has Joined the Neo4j Team
By Bryce Merkl Sasaki
June 7, 2018 3 mins read
Speaking on behalf of the Neo4j team, I am excited to announce that Matt Casters has joined Neo4j, Inc. Matt has a sterling reputation in the open source community for his work in leading the Kettle project. Matt and I… Read more →
Keywords: data import • data integration • data lineage • data quality • etl • Kettle • Matt Casters • MDM • Pentaho • Pentaho Data Integration
GDPR Compliance: 4 Simple Steps to Building a GDPR Solution
By Bryce Merkl Sasaki
March 26, 2018 3 mins read
According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →
Keywords: Connected Data • data modeling • data privacy • data privacy regulations • Data Visualization • GDPR • GDPR Compliance • graph visualization • master data • personal data
GDPR Compliance: The Challenges and Problems with Personal Data
By Bryce Merkl Sasaki
February 26, 2018 4 mins read
European Union regulators are dead serious about protecting the privacy of their citizens’ personal data. The General Data Protection Regulations (GDPR) that take effect on 25 May 2018 apply to all EU and foreign organizations handling personal data of EU… Read more →
Keywords: data lineage • data management • data privacy • data privacy regulations • GDPR Compliance • GDPR regulations • GDPR requirements • graph database • graph technology • personal data
Financial Services & Neo4j: 360-Degree View of Customer Experience
By Bryce Merkl Sasaki
August 21, 2017 3 mins read
Customer expectations are rising at a time when customer service is a significant differentiator within the financial services industry. Customers expect companies to deliver personalized service – i.e., an end-to-end customer experience – that reflects an understanding of who they… Read more →
Keywords: 360-degree view of customer • Connected Data • credit card industry • credit card provider • customer experience • customer experience management • financial services • graph technology • Master Data Management • MDM
Graph Technology for Enterprise Master Data Management (MDM)
By Rachel Howard
July 14, 2017 9 mins read
Editor’s Note: This presentation was given by Aaron Wallace at GraphConnect San Francisco in October 2016. Presentation Summary Modern enterprises need to have a full, 360-view of their customers drive their bottom line. This requires the integration of data from… Read more →
Keywords: customer information management • data quality • fraud detection • graphconnect • Knowledge Graph • Master Data Management • MDM • metadata management • Pitney Bowes • single customer view
Financial Services & Neo4j: Data Lineage & Metadata Management
By Bryce Merkl Sasaki
May 30, 2017 3 mins read
Regulatory compliance requires financial services firms to have visibility into data lineage, information and process flows. The Sarbanes-Oxley Act (SOX), for example, requires public firms to understand who has access to what data, what data resides in which systems, and… Read more →
Keywords: Bank • data lineage • financial services • Global 500 • graph technology • knowledge base • master data • metadata management • regulatory compliance • Sarbanes-Oxley Act
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 →
Keywords: 5-minute interview • AML • customer information management • data lineage • data quality • financial services • Master Data Management • metadata management • Pitney Bowes • Retail