Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

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Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe

Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →

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This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs

Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →

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The Top 10 Neo4j Podcasts of 2018

Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →

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Announcing the Neo4j GraphTour in 8+ Cities Worldwide

Starting this February, Neo4j is coming to a city near you to deliver a full day of sessions on how graph database technology is revolutionizing the modern enterprise. The GraphTour Basics This one-day local event will teach you all you… Read more →

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Intelligent Recommendation Engine for Financial Analysts

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 →

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Evaluating Investor Performance Using Neo4j, GraphXR and ML

[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →

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(hackathon)-[:AT]->(stackoverflowoffices)

This years GraphConnect 2018 – the gathering of graph enthusiasts in Times Square, New York City – featured a special gem for developers. The friendly guys from Stack Overflow opened their offices and invited developers and hackers to a “Hackathon”… Read more →

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How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]

Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… 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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We Just Closed the Largest Single Investment in the Graph Space. Now What?

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 →

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5 Noteworthy Use Cases of Graph Technology and Graph Analytics

When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… 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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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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Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom

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 →

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Custom Visualization Solutions: Getting the Most Out of Your Data

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 →

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When Graph Meets Big Data: Obstacles and Opportunities for Visualization

Love the buzzword or hate it, “big data” is an inescapable reality. Whether it’s for business intelligence or bioinformatics, recommendation engines or risk analysis, the volume, variety and velocity of data is only going to increase. Graph is an undeniably… Read more →

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Graph Databases for Beginners: Graph Theory & Predictive Modeling

There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →

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Powering Recommendations with a Graph Database: A Rapid Retail Example

It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →

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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

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 →

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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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Powering Recommendations with a Graph Database: Connect Buyer and Product Data

Effective recommendations increase revenue and drive up average order value. But delivering highly relevant, real-time recommendations requires as much context as possible. Connecting the user to the perfect recommendation is an art. In this three-part series, we explore using recommendations… Read more →

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Democratizing Data Discovery at Airbnb

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 →

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