Fraud Detection Using Graph Technology
By Jocelyn Hoppa
November 16, 2018|
Reading time: 4 minutes
Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →
Keywords: Connected Data • data analysis • data modeling • fraud detection • graph algorithms • graph database • graph technology • machine learning • money laundering • social media networks
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018|
Reading time: 5 minutes
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Keywords: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
Graph Algorithms in Neo4j: The Rise of Graph Analytics
By Jocelyn Hoppa
October 29, 2018|
Reading time: 4 minutes
According to Gartner’s 2018 Magic Quadrant for Data Management Solutions, the biggest reason for using the Neo4j graph database “is to drive innovation.” This blog series is designed to help organizations better leverage graph analytics to effectively innovate and develop… Read more →
Keywords: ai • Connected Data • eBay • google • graph algorithms • Graph Analytics • graph database • Graph Theory • linkedin • machine learning • Uber
Graph Algorithms in Neo4j: The Power of Graph Analytics
By Jocelyn Hoppa
October 22, 2018|
Reading time: 4 minutes
According to Gartner, “graph analysis is possibly the single most effective competitive differentiator for organizations pursuing data-driven operations and decisions.” Why did Gartner say this? Because graphs are the best structure for today’s complex and ever changing data, and if… Read more →
Keywords: Connected Data • Gartner • graph algorithms • graph analysis • Graph Analytics • graph database • graph models • Graph Theory • neo4j • Network Science
Graph Algorithms in Neo4j: Connected Data & Graph Analysis
By Jocelyn Hoppa
October 15, 2018|
Reading time: 5 minutes
Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are… Read more →
Keywords: Big Data • big data analysis • Connected Data • data valence • graph algorithms • graph analysis • Graph Analytics • graph database • Network Science • statistical analysis
Knowledge Graph Search with Elasticsearch and Neo4j
By Jocelyn Hoppa
October 9, 2018|
Reading time: 17 minutes
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
ICYMI: (Mostly) Everything Important that Happened at GraphConnect 2018
By Bryce Merkl Sasaki
September 25, 2018|
Reading time: 4 minutes
Unless you live under a graph database rock, then you know that the biggest graph technology event of the year – GraphConnect 2018 – happened last week, and it was wondrous to behold. From September 20-22, Neo4j customers, partners, celebrities,… Read more →
Keywords: artificial intelligence • Connected Data • graph database • graph platform • graph technology • graphconnect • Graphs4Good • Hilary Mason • machine learning • Neo4j 3.5
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018|
Reading time: 4 minutes
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 →
Keywords: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank • risk and compliance
Graphs4Good: Connected Data for a Better World
By Bryce Merkl Sasaki
September 20, 2018|
Reading time: 6 minutes
You’re reading this because of a napkin. It was the year 2000, and I was on a flight to Mumbai. Peter, Johan and I had been building an enterprise content management system (ECM) but kept running up against the challenge… Read more →
Keywords: Connected Data • data journalism • data science • fake news • graph technology • Graphs4Good • icij • nasa • Neo4j Community • Panama Papers
Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018|
Reading time: 10 minutes
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Keywords: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
Custom Visualization Solutions: Getting the Most Out of Your Data
By Jocelyn Hoppa
September 18, 2018|
Reading time: 6 minutes
Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →
Keywords: Connected Data • cypher • Data Visualization • diagram data • diagram visualization • graph database • graphconnect • neo4j • Recommendation Engines • yFiles
The Graphie Awards: What They Are & How to Win One at GraphConnect 2018
By Bryce Merkl Sasaki
August 31, 2018|
Reading time: 2 minutes
Editor’s Note: This is literally the last day before tickets to GraphConnect 2018 go up in price. If you were holding out (for some reason?), this is your last chance before you have to fork over another Benjamin. You just… Read more →
Keywords: Connected Data • data journalism • graph database • graph technology • graphconnect • Graphie Awards • Graphies • machine learning • neo4j • Neo4j Community • Neo4j partners
Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]
By Jocelyn Hoppa
August 27, 2018|
Reading time: 5 minutes
Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →
Keywords: Connected Data • data architecture • eBay • graph database • pricing engine • rdbms • real-time recommendations • Recommendations • sql • Walmart
Neo4j Community Mavens: Because Being a Supernode Isn’t Always a Bad Thing
By Bryce Merkl Sasaki
August 16, 2018|
Reading time: 3 minutes
The Neo4j community is full of different kinds of people: people who help others with technical questions, those who write blogs to help educate others about graph databases, those who contribute to open source projects and more. Our community also… Read more →
Keywords: Connected Data • Graph Databases • graph technology • information specialists • Malcolm Gladwell • maven • neo4j • Neo4j Community • open source • supernode
Financial Risk Reporting: Graph Technology Is a Game Changer
By Jocelyn Hoppa
August 13, 2018|
Reading time: 5 minutes
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
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
August 10, 2018|
Reading time: 5 minutes
Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →
Keywords: Connected Data • cypher • data science • Data Visualization • graph algorithms • graph database • graph technology • graphconnect • Knowledge Graph • machine learning
Financial Risk Reporting: Building a Risk Metadata Foundation
By Jocelyn Hoppa
August 6, 2018|
Reading time: 4 minutes
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 →
Keywords: BCBS 239 • Connected Data • financial risk reporting • financial services • governance • Graph Databases • native graph database • nosql • relational database • risk metadata
Taking the First Step: How to Lead a Local Neo4j GraphDB Meetup
By Jocelyn Hoppa
August 2, 2018|
Reading time: 4 minutes
I discovered Neo4j and became instantly captivated. Finding something that made data make sense, was fun, approachable, and easier to learn, I read articles and white papers, watched videos online… but it wasn’t enough. I needed to connect, with people,… Read more →
Keywords: Big Data • Connected Data • data science • fraud detection • graph algorithms • Graph Databases • graphitude • neo4j meetup • nodes • relationships
Graph Databases for Beginners: Data Modeling Pitfalls to Avoid
By Bryce Merkl Sasaki
July 31, 2018|
Reading time: 6 minutes
With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… Read more →
Keywords: Connected Data • cybersecurity • data model • data modeling • fraud detection • graph data model • graph data modeling • graph database • graph model • graph technology
Financial Risk Reporting:
The Connected Nature of Financial Risk
By Jocelyn Hoppa
July 30, 2018|
Reading time: 5 minutes
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 →
Keywords: BCBS 239 • Connected Data • data lineage • data management • financial risk reporting • financial services • governance • Graph Databases • legal entity identifiers • risk data
Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag
By Jocelyn Hoppa
July 27, 2018|
Reading time: 4 minutes
“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 →
Keywords: 5-minute interview • ai • APOC • Connected Data • data governance • gaming industry • Graph Algorithm • graph database • machine learning • rdbms
The Next Generation of Service Assurance: Differentiating Your Solution
By Jocelyn Hoppa
July 23, 2018|
Reading time: 5 minutes
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
Neo4j Launches Commercial Kubernetes Application on Google Cloud Platform Marketplace
By Bryce Merkl Sasaki
July 18, 2018|
Reading time: 2 minutes
On behalf of the Neo4j team, I am happy to announce that today we are introducing the availability of the Neo4j Graph Platform within a commercial Kubernetes application to all users of the Google Cloud Platform Marketplace. This new offering… Read more →
Keywords: Connected Data • GCP Marketplace • Google Cloud • google cloud platform • Google Cloud Platform Marketplace • Google Kubernetes Engine • graph technology • Knowledge Graph • Kubernetes • neo4j
Graph Databases for Beginners: Why Connected Data Matters
By Bryce Merkl Sasaki
July 17, 2018|
Reading time: 5 minutes
“It’s not what you know, it’s who you know.” Sound familiar? Depressingly, we all know it’s true: The boss’s son has a better shot at that corner office than you do. That’s because in business – and in life –… Read more →
Keywords: Big Data • Connected Data • data model • Data Relationships • graph database • graph technology • neo4j • nosql • rdbms • relational database
Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
July 12, 2018|
Reading time: 6 minutes
The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →
Keywords: Big Data • Connected Data • graph database • graph technology • Graph Theory • index free adjacency • native graph database • neo4j • nosql • rdbms • relational database
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