This Week in Neo4j: Graph Composition, Cypher Tips, Dataset Analysis, Kafka Messages, Running Backups, Legal AI, and More

GraphConnect, the highly-anticipated gathering of graph technology experts and enthusiasts, is coming to Austin, Texas! It’s the best place to learn about connected data and relationships in graphs. Find out about the trends and topics that will shape the future.… Read more →

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How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines

Are you familiar with knowledge graphs? What about graph technology in general? If you’re in the retail business, this presentation could be a game-changer.

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How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines

Are you familiar with knowledge graphs? What about graph technology in general? If you’re in the retail business, this presentation could be a game-changer.

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This Week in Neo4j: Graph Embeddings, OSS Vulnerabilities, Supply Chain Stack, Star Wars Graph, Chatbot MD, and More!

With graph data science, you can choose between several graph embedding algorithms, and generating low-dimensional vector spaces is easy. But how do you evaluate the embedding results in your machine learning application? Enter Emblaze, a Jupyter notebook widget for visually… Read more →

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This Week in Neo4j: Microservices, European Gas Network, FIFA22, DevTools, Java, Kubernetes, and More

Graphs are everywhere and data scientists are using graph technology to model the world as they explore complex datasets. Here, Ali Emre Varol unleashes the knowledge graph on a dataset representing the European gas distribution network. He performs exploratory data… Read more →

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This Week in Neo4j: New Neo4j + Java Course, Interactive Dashboards, Intelligent Supply Chain Apps, and More

A new course is available on GraphAcademy for Building Neo4j Applications with Java! Michael Hunger and I collaborated to create a hands-on course that starts with a project skeleton and guides users through writing code to build a completed IMDB-clone… Read more →

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Demo: Building Intelligent Supply Chain Application with Neo4j

See this demo on how to build an AngularJS-, .Net Core-based intelligent supply chain application using Neo4j and AWS.

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Graphie Winner for Supply Chain Excellence: 5-Minute Interview with OrbitMI

Neo4j honored OrbitMI and their Graph Ecosystem with a Graphie Award for Supply Chain Excellence, and we got three leaders together to ask them some questions about their work in the graph database space, how Neo4j helped them innovate, and what they see on the horizon for connected data.

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How Knowledge Graphs Have Transformed the Supply Chain Industry During COVID

Check out how knowledge graphs have transformed the supply chain industry in the continued wake of the pandemic.

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Creating Resilience

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Top 10 Use Cases: Supply Chain Management

Learn how using Neo4j’s graph technology for your supply chain management can improve your business.

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This Week in Neo4j – Graph Data Science Library Announced, Neo4j Reactive Drivers, SCM analytics, São Paulo’s subway system

Hi graph gang, In this week’s video, Greg Woods teaches us all about the new reactive Neo4j drivers. Alicia Frame officially launches the Graph Data Science Library and Tomaz Bratanic shows us how to use it with the help of… Read more →

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This Week in Neo4j – COVID-19 Contact Tracing, Supply Chain Management, What’s new in Neo4j Desktop?

Hi graph gang, In this week’s video, Michal Bachman uses the Hume insights engine for contact tracing and smart quarantine in the context of the current coronavirus pandemic. TasoX demonstrates a tool for importing Windows Events into Neo4j, Rik continues… Read more →

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This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management

Hi graph gang, I’m back to take over the TWIN4j reins. Thanks to Jennifer, Will, and Lju for curating the weekly graph news in my absence. In this week’s video, Calin Constantinov shows us how to make graph patterns show… Read more →

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Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]

Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.

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Graphs in Government: The U.S. Army

The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →

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NLP at Scale for Maintenance and Supply Chain Management

Editor’s Note: This presentation was given by Ryan Chandler at GraphConnect New York in October 2017. Presentation Summary Caterpillar is a 90-year-old company that manufactures large industrial machinery, including some autonomous vehicles. For the last decade, the company has been… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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Oracle RDBMS + Neo4j: Migrate All the Data into Neo4j

There are many use cases and scenarios where it makes sense to use Oracle RDBMS in tandem with the Neo4j graph database, whether you’re migrating a subset of data or constantly syncing both graph and relational datasets. However, sometimes circumstances… Read more →

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