Can digital technology prevent supply chain disruptions?
By Tech Monitor - October 11, 2021
Explore: blockchain • digital twin • supply chain • supply chain management • supply chain visibility • transparency-one
Creating Resilience
By Supply Chain World - April 29, 2021
Explore: Connected Data • graph technology • supply chain • supply chain management • Supply Chain Technology
Top 10 Use Cases: Supply Chain Management
By Jim Webber
February 15, 2021 < 1 min read
Learn how using Neo4j’s graph technology for your supply chain management can improve your business.
Explore: Big Data • data modeling • distribution centers • route planning • supply chain management
Amy Hodler: Ensuring a Renewed, Resilient Global Supply Chain with Graph Technology
By Enterprise Management 360 - July 9, 2020
Explore: Amy E. Hodler • Amy Hodler • Coronavirus • covid-19 • supply chain • supply chain management • supply chain visibility
Wie man zuverlässige Lieferketten aufbaut
By Industy of Things - July 7, 2020
Explore: Coronavirus • coronavirus data • covid-19 • data supply chain • supply chain • supply chain management
This Week in Neo4j – Graph Data Science Library Announced, Neo4j Reactive Drivers, SCM analytics, São Paulo’s subway system
By Mark Needham
April 11, 2020 5 mins read
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 →
Explore: graph data science • public transportation • reactive drivers • supply chain management • twin4j
This Week in Neo4j – COVID-19 Contact Tracing, Supply Chain Management, What’s new in Neo4j Desktop?
By Mark Needham
April 4, 2020 4 mins read
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 →
Explore: Causal Clustering • GraphAware Hume • Neo4j Desktop • supply chain management • twin4j
This Week in Neo4j – Neo4j BI Connector, COVID-19, Supply Chain Management
By Mark Needham
March 28, 2020 5 mins read
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 →
Explore: bi-connector • covid-19 • GraphXR • supply chain management • twin4j
Can we manage the manufacturing supply chain better?
By Supply Chain Digital - August 2, 2019
Explore: manufacturing • supply chain • supply chain management
Graphs in Automotive & Manufacturing: Unlock New Value from Your Data [Video]
By Allison Wu
June 27, 2019 < 1 min read
Check out this webinar on using graph database technology in the manufacturing and automotive industries, including the use of graph algorithms in AI.
Explore: ai • artificial intelligence • automotive • bill of materials • graph algorithms • logistics • machine learning • manufacturing • supply chain management • webinar
Graphs in Government: The U.S. Army
By Jocelyn Hoppa
May 6, 2019 3 mins read
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 →
Explore: analytics platform • cost management • government • government agencies • graph database • logistics • neo4j • supply chain • supply chain management • u.s. army
NLP at Scale for Maintenance and Supply Chain Management
By Jocelyn Hoppa
October 24, 2018 16 mins read
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 →
Explore: artificial intelligence • Caterpillar • cypher • graph database • graph query • graphconnect • knowledge representation • machine learning • natural language processing • supply chain management
Retail & Neo4j: Supply Chain Visibility & Management
By Bryce Merkl Sasaki
January 22, 2018 4 mins read
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 →
Explore: Connected Data • graph database • graph visualization • neo4j • relational database • Retail • sql • supply chain management • supply chain transparency • supply chain visibility
Oracle RDBMS + Neo4j: Migrate All the Data into Neo4j
By Bryce Merkl Sasaki
January 31, 2017 4 mins read
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 →
Explore: graph database • neo4j • Oracle • Oracle RDBMS • product data management • rdbms • SAP • schleich • Structr • supply chain management
Congratulations to Aurelius, Välkommen to DataStax!
By Emil Eifrem, Chief Executive Officer
February 5, 2015 3 mins read
Congratulations to Aurelius on the news of your recent acquisition! The Aurelius team has always been our companions in promoting the value of relationships in data, and I wish you all the best as you embark upon the journey of… Read more →
Explore: Aurelius • Data Relationships • Datastax • fraud detection • graph data analysis • graph database • industry growth • real-time recommendations • supply chain management • Titan