Creating a Data Distribution Knowledge Base Using Neo4j

Editor’s Note: This presentation was given by Syed Haniff at GraphConnect Europe in May 2017. Presentation Summary UBS bank was relying on a data distribution model that was no longer serving its internal consumers, largely because it required its users… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

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 →

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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we work out the best tennis player in the world using weighted PageRank, we… Read more →

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Knowledge Graph Search with Elasticsearch and Neo4j

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 →

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Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]

In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling… Read more →

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Microservice and Module Management with Neo4j

Editor’s Note: This presentation was given by John Lavin at GraphConnect New York in October 2017. Presentation Summary Refactoring monolithic applications into microservices requires putting thought into managing code and its dependencies. At Vanguard Group, some of the existing Java… Read more →

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Effective Internal Risk Models for FRTB Compliance: Modern Graph Technology Is the Answer

Relational database technology can’t handle what is coming in banking and risk modeling. By the 2020s, Accenture predicts current banking business models will be swept away by a tide of ever-evolving technology and other rapidly occurring changes. The right foundation… Read more →

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Effective Internal Risk Models for FRTB Compliance: Risk Modeling Requires Data Lineage

Where did the data come from, originally? That’s a key question that the Fundamental Review of the Trading Book (FRTB) rules will require banks to answer in real-time. Banks must be able to decompose risk models to uncover the full… Read more →

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Meet the 2018 Graphie Award Winners

Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →

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GraphConnect 2018 Agenda: Everything You Need to Know

You already know there are many exciting reasons you should attend GraphConnect 2018 – and, of course, we’ve got you properly jazzed on this year’s roster of must-see presenters (including our two most recently announced keynote presenters). But the best… Read more →

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Fighting Money Laundering and Corruption with Graph Technology

The shocking revelations of the International Consortium of Investigative Journalists (ICIJ), who released both the Panama and Paradise Papers, as well as the West Africa Leaks, have shown that aggressive tax avoidance and money laundering are a widespread and worldwide… Read more →

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Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval

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 →

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11 Must-See Speakers at GraphConnect 2018 in New York City

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 →

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Financial Risk Reporting: Graph Technology Is a Game Changer

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 →

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Financial Risk Reporting: Building a Risk Metadata Foundation

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →

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Congrats to Cerved and LARUS for Winning the Big Data Analytics Award from Digital360

On July 2018, Cerved – a Neo4j customer – has been awarded with the Big Data Analytics prize, by a panel of 50 CIOs working for the most important Italian companies, at the Digital360 Awards 2018, thanks to its Graph4you… Read more →

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Financial Risk Reporting:
The Connected Nature of Financial Risk

As governmental regulations tighten, today’s banks must have a thorough and systematic understanding of risk calculations and their associated data lineage – including where underlying data originates and how it flows through enterprise systems. Forward-looking banks are uniting data silos… Read more →

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Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag

“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →

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Don’t Choose One Database… Choose Them All!

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 →

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Knowledge Graphs: The Path to Enterprise AI

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 →

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DevOps on Graphs:
The 5-Minute Interview with Ashley Sun, Software Engineer at LendingClub

“Basically, anything you can think of in your infrastructure, whether it’s GitHub, Jenkins, AWS, load balancers, Cisco UCS, vCenter – it’s all in our graph database,” said Ashley Sun, Software Engineer at LendingClub. DevOps at LendingClub is no easy feat:… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 1]

I recently had the opportunity to combine work and pleasure and meet with Dr. Aaron Clauset, an expert on network science, data science and complex systems. In 2016, Clauset won the Erdos-Renyi Prize in Network Science but you might be… Read more →

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How to Import the Bitcoin Blockchain into Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] This guide runs through the basic steps for importing the bitcoin blockchain into a Neo4j graph… Read more →

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