Breaking out of Data Jail: How Arcurve Better Serves Its Clients with Neo4j Graph Data Science
By Angela Zimmerman
February 22, 2023 3 mins read
One of North America’s leading technology services companies, Arcurve, works tirelessly to help clients solve their most challenging problems across industries like energy, technology, finance, and government. Arcurve uses Neo4j Graph Data Science to support their clients, from startups to Fortune 500 companies.
Keywords: Arcurve • customer use case • graph data science • graph technology • neo4j graph data science
This Week in Neo4j: Workshops, GPT-3, Graph Data Science Book, Bayesian KG, and More!
By Yolande Poirier
February 18, 2023 3 mins read
We are announcing a new series of workshops in March and April! On March 15, there’s Intro to Neo4j, a hands-on introduction. On March 22, don’t miss Intermediate Cypher Data Modeling and Importing Data, where you can learn more advanced… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
This Week in Neo4j: Graph Data Science 2.3 Release, GraphGPT, New Courses, Recommendation Engine, Selling KGs to Execs, and More!
By Yolande Poirier
February 11, 2023 3 mins read
Graph Data Science 2.3 was just released! Check out the new features like the Minimum Directed Steiner Tree, super useful for understanding the shortest or least expensive routes when travelling from multiple locations to a specific destination. Or HashGNN, where,… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
This Week in Neo4j: Data Fabric, Mapping App Flaws, Changes in Cypher, Graph Data Science, Recommendations, Visualization, CloudQuery, and More
By Yolande Poirier
February 4, 2023 3 mins read
This week’s newsletter features several interesting articles. Get started using graph visualization to execute security queries with “How to use CloudQuery for Attack Surface Management and Graph Visualization”, by Jason Kao blogging for the data integration platform CloudQuery. You’ll extract… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Announcing Neo4j Graph Data Science 2.3
By Enzo
February 1, 2023 5 mins read
We’re excited to announce Neo4j Graph Data Science 2.3, which includes new algorithms, new graph embedding, and performance improvements.
Keywords: algorithms • Data Scientist • GDS • graph data science • graph database • graph embedding • hashgnn • machine learning • neo4j • prediction
This Week in Neo4j: VS Code Extension, Geospatial Data, Closeness Centrality, Project Management, and More!
By Yolande Poirier
January 28, 2023 3 mins read
This week’s newsletter features tools to make your life easier using graph theory and practical applications. Top of the list is a Neo4j VS Code extension to manage connections to Neo4j instances and run Cypher queries in the IDE. You… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
This Week in Neo4j: OpenAI, Deploying on GCP, Neodash, Graph Algorithms, Python, and More
By Yolande Poirier
January 21, 2023 4 mins read
Thanks for tuning in to this week’s newsletter! Check out Gaston Guitart’s article for developers provisioning instances on GCP. This automated deployment system for Neo4j extensions is a workflow consisting of a GCP function and a NodesJS web app. You… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Enabling Low/No Code Engineering Experience and Operationalizing Information Models
By Enzo
January 20, 2023 6 mins read
Discover how Yokagawa drives digital transformation by building a knowledge graph that enables low-code engineering experience.
Keywords: Analytics • digital transformation • engineering • graph data science • graph database • information model • Knowledge Graph • low-code • neo4j • no-code
Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
January 19, 2023 7 mins read
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: Big Data • Connected Data • graph database • graph technology • Graph Theory • index free adjacency • native graph database • neo4j • nosql • rdbms
The Visual Simplicity of Graph: The 5-Minute Interview With Folks From Fractal 5
By Angela Zimmerman
January 18, 2023 4 mins read
“Everything is a graph. So as far as Neo’s development and the advances it’s made in the speed and adoption of more data – and more mature data – everyone can leverage all the developments in regards to graph neural networks and such. And that lends itself to a better world altogether,” Bjartur Hjaltason, machine learning engineer at Fractal 5.
Keywords: 5-minute interview • Connected Data • Developer • Fractal 5 • graph technology • Interview • machine learning • Social Networks
This Week in Neo4j: Website Analysis, Conversational AI, Graph Machine Learning, Facial Recognition, Graph Tutorial, and More
By Yolande Poirier
January 14, 2023 3 mins read
In this week’s newsletter, you can read about constructing a real-time interactive conversational AI system. Antonio Origlia describes how graphs make it possible to cross-reference encyclopedic knowledge and dialogue corpora, representing both the domain knowledge and the way people communicate… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Standard Chartered: Threat Intelligence Using Knowledge Graphs
By Enzo
January 10, 2023 10 mins read
Learn how Standard Chartered protects their customers’ money, assets, and data from threats using knowledge graphs.
Keywords: asset • Bank • context • cybersecurity • financial services • finserv • fraud detection • graph database • insights • Intelligence
This Week in Neo4j: HealthECCO, Graph Algorithms in Rust, Nobel Prize, AWS Lambda, Python, IntelliJ, and More
By Yolande Poirier
January 7, 2023 4 mins read
Welcome to this year’s first newsletter! Here are some of this week’s highlights: In “Create Dynamic Serverless Applications with Neo4j Graph Database and AWS Lambda,” you’ll learn to populate front-end applications with connected data. In the article “Extracting insights from… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Neo4j Recognized for the First Time in the 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems
By Enzo
January 5, 2023 3 mins read
It’s the first time that Neo4j or any native graph vendor has been included in the Gartner® Magic Quadrant™ report.
Keywords: 2022 • Aura • AWS • cloud • cypher • database • database management system • Gartner • google • graph
Please Welcome Alyson Welch, Neo4j’s Chief Revenue Officer
By Angela Zimmerman
January 4, 2023 4 mins read
We’re so excited to welcome Alyson Welch, Neo4j’s new Chief Revenue Officer, to our company and community!
Keywords: alyson welch • Chief Revenue Officer • cro • executive • graph database • leadership • neo4j
How DBS Connect Knowledge with a Knowledge Quotient Framework
By Enzo
January 2, 2023 6 mins read
Discover how DBS brought their siloed customer data together using knowledge graphs to achieve customer 360.
Keywords: algorithms • Bank • customer 360 • dbs • financial services • finserv • graph • graph data science • graph database • graph platform
This Week in Neo4j: Best of Graph 2022
By Yolande Poirier
January 1, 2023 3 mins read
Happy New Year! In this special edition of our weekly newsletter, we take a look at some of the best articles from 2022, including several deep dives into use cases. And you’ll find links to the GraphAcademy courses new in… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Predictions for 2023: What’s on the Horizon for Graph Technology?
By Angela Zimmerman
December 27, 2022 25 mins read
It’s always a pleasure speaking with Jim Webber, Neo4j’s Chief Scientist. I got the opportunity to sit down with him for an extensive conversation that touched on everything from the challenges of the COVID years, some recent product launches at Neo4j, the graph ecosystem in APAC and beyond, and his predictions for what’s in store for graph in the year 2023. (Hint: Graphs aren’t going away.
Keywords: 2023 Predictions • APAC • graph data science • graph database • Interview • Predictions
This Week in Neo4j: Genealogy, ChatGPT Adventures, Dev Tools, and More
By Yolande Poirier
December 24, 2022 4 mins read
Happy Holidays! Thank you for being part of the graph community! In this year’s last newsletter, we have tools, tricks, and fun stuff, and I hope you find something to make your own! Experiment along with Michael and Alexander in… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Better Together With AWS: The 5-Minute Interview With Roya Niki Hugosson
By Angela Zimmerman
December 19, 2022 2 mins read
“We went together with Neo4j and told this Better Together story… Speed and cost, they are important, and that’s what customers can get with Neo4j’s graph,” Roya Niki Hugosson, Strategic Account Manager, ISV, Amazon Web Services.
Keywords: 5-minute interview • amazon web services • AWS • graph technology • GraphConnect 2022 • Interview • neo4j
This Week in Neo4j: Typescript Course, Better Graph Displays, Using Apache Hop, and More
By Yolande Poirier
December 17, 2022 4 mins read
As far as data sources go, users are some of the best. That’s why we’re asking for your help with a brief survey to understand how you’re using JSON data: what the sources of your JSON data are, what level… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
How Banks in ANZ Use Data-Driven Insights to Optimize DevOp and Cloud Migration
By Enzo
December 16, 2022 7 mins read
Discover how a leading Australian Bank is using data-driven insights to optimize their DevOps as well as migrating to the cloud using Neo4j.
Keywords: ampion • ANZ • australia • Bank • cloud • devop • financial services • finserv • graph database • migration
This Week in Neo4j: Visualization, Akamai, House of the Dragon, Geospatial Data, Clustering, Cypher in Neo4j 5, Testcontainers, and More
By Yolande Poirier
December 10, 2022 4 mins read
If you’re a developer building modern applications, you’ve probably heard of GraphQL. The Neo4j GraphQL Library enables rapid API development for cross-platform and mobile applications by tapping into the power of connected data. Best of all, it’s designed to be… Read more →
Keywords: data science • Emblaze • graph data science • graph database • java • supply chain management • twin4j
Connecting Data Across the Enterprise: The 5-Minute Interview With Simone Novali
By Angela Zimmerman
December 9, 2022 3 mins read
“Neo4j is a strategic partner and the most complete and powerful graph database we found. So we decided to use Neo4j as our graph database,” says Simone Novali, Enterprise Architect.
Keywords: 5-minute interview • Connected Data • graph database • Knowledge Graph • Zurich Insurance
Better AI With Neo4j and Azure Machine Learning
By Enzo
5 mins read
Learn how to integrate Neo4j’s Graph Feature Engineering capabilities with Azure Machine Learning for better AI.
Keywords: ai • artificial intelligence • azure • cypher • data science • embeddings • graph • graph data science • graph feature engineering • integration