This Week in Neo4j – Kafka Streams Graph Processing, GRANDstack Football Transfers, Spring Data Neo4j RX, Role Based Access Control In Neo4j 4.0, Learning Cypher, and More!

This week we have a look at using Neo4j with Kafka Streams, how to build a GRANDstack application to analyze football transfers, a beta release of Spring Data Neo4j RX, a guide for learning Cypher in 30 minutes, an overview of the new role based access control features coming in Neo4j 4.0, a look at NLP with graphs, a guide to knowledge graphs.

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Accelerating Towards Natural Language Search with Graphs

Learn how graphs are used for natural language processing, including loading text data, processing it for NLP, running NLP pipelines and building a knowledge graph.

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AI & Graph Technology: AI Explainability

Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.

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AI & Graph Technology: Connections Improve Accuracy

Read the fourth installment of this blog series on artificial intelligence on the ways connected feature extraction analyzes data.

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Visualizing This Week in Tech

Learn how to visualize common elements amongst the barrage of weekly tech stories with knowledge graphs and machine learning techniques.

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AI & Graph Technology: How Graphs Accelerate Machine Learning

Read the third installment of this blog series on artificial intelligence on the ways graphs accelerate machine learning.

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AI & Graph Technology: What Are Knowledge Graphs?

Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.

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Solving Real-World Problems: 5-Minute Interview with David Bader

Check out this 5-minute interview with David Bader, professor and chair of the School of Computational Science and Engineering, at Georgia Tech.

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Toward AI Standards: Context Makes AI More Reliable and Trustworthy

Discover why native graph technology is the key to making artificial intelligence and machine learning more reliable and trustworthy.

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Transforming Health Information Technology with a Knowledge Graph

Learn how graph technology aids with the efficiency of electronic data entry in the healthcare industry, featuring vascular surgeon Christopher Wixon.

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Liberating Knowledge: Machine Learning Techniques with Neo4j

Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.

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Toward AI Standards: Why Context Is Critical for Artificial Intelligence

Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.

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Accelerating Digital Transformation at CA Technologies with Neo4j

Discover how CA Technologies used Neo4j to share enriched data between their sales, development and IT teams to create a company-wise database.

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Graphs in Government: A NASA Knowledge Graph

Learn how NASA uses Neo4j to close the data gaps between departments and individual groups to capture a large amount of project data.

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This Week in Neo4j – Event-driven Graph Analytics using Neo4j and Apache Kafka, SRE Knowledge Graphs, Modeling Events in Neo4j

This week Lju Lazarevic and Andrea Santurbano show us how to do event driven graph analytics using Neo4j and Apache Kafka, and we have the Spring Release of the APOC library. We also learn how to load data into a… Read more →

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The Illusion of Consumer Choice: A Tale of Cereal and Knowledge Graphs

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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Enterprise Graphs: 5-Minute Interview
with Dan Woods

“People are now moving from a project-based approach to adopting graphs to graphs as a platform for their technology,” said Dan Woods, Principal Analyst at Early Adopter Research and Founder and CEO of Evolved Media. Enterprises face challenges in adopting… Read more →

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We’re Expanding the Neo4j Startup Program: Now More Entrepreneurs Get Neo4j Enterprise Edition & Neo4j Bloom – for Free

Last year, the Neo4j Startup Program provided free access to Neo4j Enterprise clusters to over 650 startups with less than 20 employees. We’ve now significantly expanded the program to support much larger organizations, with up to 50 employees! We’ve also… Read more →

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Exploring Inherent Connections: 5-Minute Interview with Dr. Alexander Jarasch

“When I saw Neo4j the first time, I was overwhelmed by how easy it is to connect different types of data,” said Dr. Alexander Jarasch, Head of Data and Knowledge Management at the German Center for Diabetes Research. Diabetes is… Read more →

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Graph Algorithms in Neo4j: Label Propagation

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Mobile Experiences at Scale: 5-Minute Interview with James Gray

“Literally within minutes or seconds, customers generate mobile device audiences at scale,” said James Gray, Director of Product for Big Data at Phunware. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile… Read more →

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This Week in Neo4j – Time Based Graph Versioning, Pearson Coefficient, Neo4j Multi DC, Modeling Provenance

Welcome to This Week in Neo4j, where we round up the last week in the world of graph databases. This week our Chief Scientist Dr Jim Webber describes how to run Neo4j in a Multi Data Center Environment, Max De… Read more →

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This Week in Neo4j – Graph Layouts with Graph Algorithms and Machine Learning, Graphing the Floodlight Open Project data, Multi-Turn Conversational Voice Experiences with a Knowledge Graph

We’re almost half-way through January, so it must be time for another installment of This Week in Neo4j. It’s been a busy week as the community kicks back into action after the New Year’s hangover. Jennifer Reif is back with… 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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Graph Algorithms in Neo4j: Graph Technology & AI Applications

Graph technologies are the scaffolding for building intelligent applications, enabling more accurate predictions and faster decisions. In fact, graphs are underpinning a wide variety of artificial intelligence (AI) use cases. This blog series is designed to help you better leverage… Read more →

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