Supply Chain Intelligence: Future-Proof Your Supply Network

How can supply chain managers anticipate risks, avoid disruptions, and control costs? Supply chain intelligence, powered by graph technology.

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How to Improve Supply Chain Forecasting With Predictive Analytics

Transform your supply chain forecasting: Harness the power of graph technology and predictive analytics to navigate bottlenecks and maximize ROI.

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Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science

With today’s latest release of Neo4j Bloom 2.3, we bring together the power of Graph Data Science and data visualization to AuraDS users and to anyone with Neo4j Graph Data Science Library setup on their databases.

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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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Webinar Spotlight: Knowledge Graphs Are Hot!

This month, our webinars will be discussing the hot topic knowledge graphs, as well as how women in tech are using them to lead innovation.

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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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Neo4j Graphs4Good Honored with Fast Company’s 2021 World Changing Ideas Award

Read more about the recent honorable mentions Neo4j received from Fast Company for our Graphs 4 COVID-19 “GraphHack” initiative.

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This Week in Neo4j – Google Cloud IAM hierarchy, Analyzing Genomes, Demystifying Graph Databases

Hi everyone, In this week’s video, Dr Jim Webber talks about the growing importance of Graph Data Science. Pavan Kumar Kattamuri visualises Google Cloud IAM, Papa Yaw Ofori-Afriyie gives us an intro to graph databases, and Rik Van Bruggen published… Read more →

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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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Graphs in Automotive and Manufacturing: Unlock New Value from Your Data

Explore how companies in the automotive and manufacturing industries use Neo4j for supply chain management, customer 360 and knowledge graphs.

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GraphConnect 2020: Call for Papers Closing November 15

Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.

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Connecting the Complexity of Identity and Access Management

Learn how speed makes graph-based IAM particularly applicable for applications with large audiences, many resources and complex connections.

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Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs

Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →

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Graphs in Government: Lockheed Martin Space

Learn how Lockheed Martin Space connects all of its data silos by storing the relationships between the data and those systems in a Neo4j graph database.

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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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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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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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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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Retail & Neo4j: Ecommerce Delivery Service Routing

As a retailer, if you think keeping up with Amazon is expensive and time-consuming, consider the alternative: extinction. When it comes to delivery and fulfillment, Amazon is the uncontested emperor of ecommerce. Yet, their efficiency in tracking and delivering orders… Read more →

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Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →

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Building Consumer Trust through Transparency, Compliance & Sustainability in the Food Industry

Editor’s Note: This presentation was given by Julien Mazerolle and Julien Durand at GraphConnect Europe in April 2016. Here’s a quick review of what they covered: The importance of consumer trust for food companies How to map the food supply… Read more →

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From the Neo4j Community: August 2016

The Neo4j community has been busy this summer with a number of great projects, code libraries and a host of great articles on how graphs are everywhere – including everything from the Rio Summer Olympics to examining ISIS support and… Read more →

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How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Read more →

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The 5-Minute Interview: Dr. Andreas Weber, Semantic PDM Consultant, Schleich

For this week’s 5-Minute Interview, I chatted with Dr. Andreas Weber, the former Vice President of Operations at Schleich and now an independent semantic PDM consultant in Germany. I caught up with Dr. Weber at GraphConnect Europe. Here’s what we… Read more →

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Semantic PDM: Using a Graph Data Model at Schleich

What we’re going to be talking about today is how the German toy manufacturer Schleich uses a graph data model to track all the elements related to toy production. I’ve been an engineer in Germany for the last 25 years,… Read more →

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