Neo4j AuraDS Enterprise on Microsoft Azure (EAP): The Future of Graph Data Science
By Enzo
March 31, 2023 2 mins read
Neo4j AuraDS Enterprise on Microsoft Azure offers fully managed graph data science, powerful algorithms, ML models, and seamless integration.
Keywords: administration AuraDS Enterprise cloud data integration Data Visualization graph algorithms Graph Analytics graph data science machine learning microsoft azure
This Week in Neo4j: GraphQL, Vercel, Next.js, Bloom, Embeddings, Neo4j Desktop, Spring Data, Workshops, and More
By Yolande Poirier
March 25, 2023 3 mins read
In this week’s newsletter, check out “Full Stack GraphQL With Next.js, Neo4j AuraDB And Vercel,” which serves as an additional chapter of sorts to William Lyon’s book Full Stack GraphQL Applications on using GraphQL, React.js, and Neo4j. Also, try a… Read more →
Keywords: data science Emblaze graph data science graph database java supply chain management twin4j
Graph for Equitable Financial Opportunities: The 5-Minute Interview With Arthur Zverko
By Angela Zimmerman
March 24, 2023 3 mins read
Because of how we approach data in our platform and look at it from a developer-friendly way – and thinking of the data just as JavaScript objects – the traversal of graphs seemed like a natural pick for us. That’s why we chose to go with Neo4j,” says Arthur Zverko, Software Team Lead at financial platform Equitybee.
Keywords: 5-minute interview cypher cypher queries Equitybee financial services Interview
Unlock the Power of Graph Data Science With AuraDS Enterprise on AWS
By Angela Zimmerman
March 20, 2023 2 mins read
AWS and Neo4j are offering scalable and intelligent tools to help data scientists quickly gain insights from their data. By adding graph algorithms and embeddings to ML pipelines, data scientists can now explore billions of data points in seconds, identify hidden connections, and generate compelling visualizations to make informed decisions.
Keywords: AuraDS AuraDS Enterprise graph data science neo4j graph data science
This Week in Neo4j: GPT, NASA, Generative AI, Chatbot and More
By Yolande Poirier
March 18, 2023 4 mins read
This week’s newsletter features a few articles on GPT (version intentionally omitted), reflecting its increasing use with knowledge graphs. “An Ensemble Chatbot for Healthcare,” by Neo4j Ninja Sixing Huang and Hong Wang, describes how crowdsourcing chatbots can produce more accurate… Read more →
Keywords: data science Emblaze graph data science graph database java supply chain management twin4j
This Week in Neo4j: Recommendation, Needle, Microservices, Data Import, Data Analysis, and More
By Yolande Poirier
March 11, 2023 4 mins read
Welcome to this week’s roundup! Read on for info about upcoming free trainings, as well as several good articles. Try “What is Graph Data Science?” for a good point of departure to integrate graph data science techniques into your data… Read more →
Keywords: data science Emblaze graph data science graph database java supply chain management twin4j
How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2
By Enzo
March 10, 2023 6 mins read
Learn how to load SAP data and analyze the relationships between these entities to gain insights and extract meaningful information.
Keywords: Analytics applications Aura cloud data exploration data science Enterprise ERP graph database neo4j
Graphs for Ease and Scalability in the Auto Industry: The 5-Minute Interview with Michal Stefanak
By Angela Zimmerman
March 8, 2023 3 mins read
”I think graph database is the only database we should use – at all. It’s the best one. After using Neo4j, I don’t want to go back to relational databases. The Neo4j database is perfect. It’s exactly the way people think and how you draw all the UML diagrams and everything. It’s exactly what you do,” says Michal Stefanak, Programmer at VOLKE.
Keywords: 5-minute interview automotive industry customer stories Interview programmer
This Week in Neo4j: FOSDEM 2023 Sessions, Full Stack GraphQL, Data Importer Updates, dict2graph, NeoDash on Azure, and More
By Yolande Poirier
March 4, 2023 4 mins read
This week, check out the recorded livestream reviews of Will Lyon’s book, Full Stack GraphQL Applications, which is all about how to build web applications using GraphQL, React, Apollo, and Neo4j Database. Each episode of the Full Stack GraphQL Book… Read more →
Keywords: data science Emblaze graph data science graph database java supply chain management twin4j
Neo4j Is Now SOC2 Type II Compliant
By Angela Zimmerman
March 3, 2023 2 mins read
This is a significant milestone for Neo4j and an important step in providing secure and reliable services to our enterprise customers.
Keywords: certificate compliance data Enterprise neo4j Privacy Security SOC2
The Power of Knowledge Graphs and Conversational AI
By Angela Zimmerman
March 2, 2023 2 mins read
It’s no longer a question if Conversational AI will change the way we work, but rather how much. The explosive growth of OpenAI’s ChatGPT and now Microsoft’s AI-powered Bing and Google’s Bard show the appetite for conversational AI among consumers is insatiable.
Keywords: ai artificial intelligence ChatGPT conversational AI graph data science Knowledge Graph natural language processing neo4j graph data science
This Week in Neo4j: Cybersecurity Analysis, BioCypher, Graph Data Science, Kubernetes, Wardley Maps, Hume 2.17, Cypher GraphAcademy Course
By Yolande Poirier
February 25, 2023 4 mins read
Welcome to this week’s newsletter, everyone! Check out the navigation of open-sourced cyber threat intelligence data with graph visualization and on-demand intelligence retrieval by Joshua Yu. Or try wrangling microbial data with Sixing Huang to create sharable graphs and accelerate… Read more →
Keywords: data science Emblaze graph data science graph database java supply chain management twin4j
GraphSummit 2023: 3 Things to Expect This Year
By Angela Zimmerman
February 24, 2023 3 mins read
It’s that time of the year again – we’ll soon be hitting the road for our 2023 GraphSummit Series!. If you missed us in 2022, GraphSummit is our popular global education and networking event series for data leaders, developers, and data scientists.
Keywords: EMEA event graph graph database GraphSummit GraphSummit 2023
Announcing the Newest Neo4j and AWS Partner Solution
By Enzo
February 23, 2023 5 mins read
Discover the newest
Keywords: Amazon amazon web services architecture Aura AWS cloud graph data science graph database neo4j partner
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
Fight Cybercrime With Bloom: The 5-Minute Interview With Bertrand Provost
By Angela Zimmerman
February 7, 2023 2 mins read
Meet Bertrand Provost, a Senior Data Scientist at Le Groupe La Poste, a company that operates postal services, banks, insurance, and more. And as France’s biggest local commercial network with 1.3 million daily customers – and delivering 18 billion items annually (!) – it’s not difficult to see how the organization may face some data challenges. Enter graph technology.
Keywords: 5-minute interview Bloom Cybercrime data science fraud detection Interview Le Groupe La Poste
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
How to Graph an ERP System in 3 Easy Steps
By Enzo
January 26, 2023 8 mins read
Learn how to build a graph-powered enterprise resource planning system in 3 easy steps, from exporting SAP data to importing it into Neo4j.
Keywords: AuraDB cloud Enterprise Resource Planning ERP GCP Google Cloud graph database neo4j visualization
Graph Analytics: The Future in Data Science?
By Angela Zimmerman
January 24, 2023 4 mins read
Graph databases are designed to efficiently store and query connected data by using a node and relationship-based format, making them particularly equipped to solve problems when understanding those connections are critical.
Keywords: data orchestration Graph Analytics graph analytics platform graph database graph technology Modak
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