#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →

Keywords:  


This Week in Neo4j – Topic Extraction with Graphileon, Neo4j 3.5 FTS Deep Dive, Neo4j for Very Large Scale Systems

Welcome to the 3rd edition of This Week in Neo4j for 2019. We’ve got a variety of different things for you this week. Christophe Willemsen has written an excellent deep dive into the Full-Text Search feature released in Neo4j 3.5,… Read more →

Keywords:  


The Top 10 Neo4j Videos of 2018

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:  


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 →

Keywords:  


#GraphCast: Graph Algorithms & Game of Thrones

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →

Keywords:  


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 →

Keywords:  


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 →

Keywords:  


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 →

Keywords:  


Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE

“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →

Keywords:  


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 →

Keywords:  


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 →

Keywords:  


Graphs4Good: Connected Data for a Better World

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:  


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 →

Keywords:  


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 →

Keywords:  


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 →

Keywords:  


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 →

Keywords:  


The eBay App for Google Assistant: Graph-Powered Conversational Commerce

Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… Read more →

Keywords:  


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 →

Keywords:  


The Next Generation of Service Assurance:
Your Network Is a Graph

Service complexity is exploding. Communication Service Providers (CSPs) need a complete view of their network and its myriad interdependencies to drive real-time decisions and predict the impact of changes on the user experience. A native graph approach makes sense of… Read more →

Keywords:  


Graph Databases for Beginners: Why Graph Technology Is the Future

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:  


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 →

Keywords:  


The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]

From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →

Keywords:  


Using Neo4j to Investigate Connections in the U.S. Healthcare System

Editor’s Note: This presentation was given by Yaqi Shi at GraphConnect San Francisco in 2016. Presentation Summary In this presentation, Yaqi Shi describes the process of developing Health-Graph, a model of how some of the key elements in the healthcare… Read more →

Keywords:  


Graph Algorithms in Neo4j:
15 Different Graph Algorithms & What They Do

Graph analytics have value only if you have the skills to use them and if they can quickly provide the insights you need. Therefore, the best graph algorithms are easy to use, fast to execute and produce powerful results. Neo4j… Read more →

Keywords:  


Neo4j as a Critical Aspect of Human Capital Management (HCM)

Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in May 2017. Presentation Summary In this presentation, Luanne Misquitta shares her facility for engaging with the challenges of human capital management (HCM) in contemporary organizations using graph… Read more →

Keywords:  


Subscribe

Have a Graph Question?

Stack Overflow
Community Forums
Contact Us

Share your Graph Story?

Email us: content@neo4j.com

Archives