This Week in Neo4j: Testcontainers, Java-Driver API, Go App, Kubernetes, SchemaSmith, Visualization App, and More

Check out what’s new this week in Neo4j, including Testcontainers, Java-driver API, Go App, Kubernetes, SchemaSmith, visualization app & more.

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Global Graph Celebration Day 2023: Join Us for Raffle & Crossword

Celebrate Global Graph Day 2023 with us! Enjoy raffles, crosswords, and honor Leonhard Euler’s contributions to graph theory. Join the fun now!

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Top Speakers to Watch Out for at GraphSummit Europe 2023

Top speakers to watch out for at GraphSummit Europe 2023! Learn from graph experts in leading organizations at your nearest GraphSummit city.

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Graphs4APAC: Enabling, Empowering & Engaging Professionals in APAC

Graphs4APAC empowers next-generation graph professionals in APAC to learn, get certifications, and be successful with graph technology.

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This Week in Neo4j: GPT-4, GDS, Geospatial, GraphQL, BigQuery, and More

Check out what’s new this week in Neo4j, including Big Data ETL, GNNs, Property Graph Data Models, Cypher Tutorial, and More.

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User Management: New Security Feature in Neo4j Aura Enterprise

User Management in Aura Enterprise introduces new security features for user roles, access control, and permissions.

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A Warm Welcome to Sudhir Hasbe, Neo4j’s Chief Product Officer

Meet Sudhir Hasbe, Neo4j’s new Chief Product Officer, bringing vast expertise from Google Cloud to drive innovation & growth in the graph space.

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This Week in Neo4j: Big Data ETL, GNNs, Property Graph Data Models, Cypher Tutorial, and More

Check out what’s new this week in Neo4j, including Big Data ETL, GNNs, Property Graph Data Models, Cypher Tutorial, and More.

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Neo4j AuraDS Enterprise on Microsoft Azure (EAP): The Future of Graph Data Science

Neo4j AuraDS Enterprise on Microsoft Azure offers fully managed graph data science, powerful algorithms, ML models, and seamless integration.

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This Week in Neo4j: GraphQL, Vercel, Next.js, Bloom, Embeddings, Neo4j Desktop, Spring Data, Workshops, and More

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 →

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Graph for Equitable Financial Opportunities: The 5-Minute Interview With Arthur Zverko

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.

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Unlock the Power of Graph Data Science With AuraDS Enterprise on AWS

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.

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This Week in Neo4j: GPT, NASA, Generative AI, Chatbot and More

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 →

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This Week in Neo4j: Recommendation, Needle, Microservices, Data Import, Data Analysis, and More

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 →

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How to Explore SAP Sample Data in Neo4j – Graph for ERP Part 2

Learn how to load SAP data and analyze the relationships between these entities to gain insights and extract meaningful information.

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Graphs for Ease and Scalability in the Auto Industry: The 5-Minute Interview with Michal Stefanak

​​”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.

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This Week in Neo4j: FOSDEM 2023 Sessions, Full Stack GraphQL, Data Importer Updates, dict2graph, NeoDash on Azure, and More

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 →

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The Power of Knowledge Graphs and Conversational AI

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.

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This Week in Neo4j: Cybersecurity Analysis, BioCypher, Graph Data Science, Kubernetes, Wardley Maps, Hume 2.17, Cypher GraphAcademy Course

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 →

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GraphSummit 2023: 3 Things to Expect This Year

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.

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Announcing the Newest Neo4j and AWS Partner Solution

Discover the newest

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Breaking out of Data Jail: How Arcurve Better Serves Its Clients with Neo4j Graph Data Science

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.

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This Week in Neo4j: Workshops, GPT-3, Graph Data Science Book, Bayesian KG, and More!

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 →

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This Week in Neo4j: Graph Data Science 2.3 Release, GraphGPT, New Courses, Recommendation Engine, Selling KGs to Execs, and More!

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 →

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Fight Cybercrime With Bloom: The 5-Minute Interview With Bertrand Provost

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.

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