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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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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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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The Visual Simplicity of Graph: The 5-Minute Interview With Folks From Fractal 5

“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.

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Better Together With AWS: The 5-Minute Interview With Roya Niki Hugosson

“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.

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Connecting Data Across the Enterprise: The 5-Minute Interview With Simone Novali

“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.

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Telstra’s Neo4j Graphie Award for Excellence in Data Discovery: Why Neo4j?

For the fourth presentation in our GraphSummit series, we’re featuring Harry Corfield, Senior Data Architect, Chief Data & AI Office at Telstra. He spoke about their Graphie Award and shared his experience using Neo4j Graph Database to develop a data knowledge map.

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Graph Data Science for Drug Discovery: The 5-Minute Interview With Ufuk Kirik

Dip your toes in the water. Pay attention to graph model, but don’t be a perfectionist. There’s a lot of really good documentation out there. There’s a lot of experts who are willing to share their expertise. Use them and don’t be shy and try it out,” says Ufuk Kirik, Associate Director of Graph Data Science at AstraZeneca.

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Combating Disease Using Graphs: The 5-Minute Interview With Henrik Enquist

“As a beginner starting to use Neo4j for the first time, I would say just go with it, try it, play with a movie example data set, and just get familiar with it. It’s really quite logical once you figure out the first few steps,” says Henrik Enquist, Advanced IT Developer at Novo Nordisk.

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Design Thinking for Graph Data: The Secret to Successful Graph-Powered Apps

Design thinking is the secret to successful graph-powered apps. My organization, Predictive UX, designs graph-based applications. We come at it from a human-first user experience perspective and work primarily with enterprise organizations on complex content and data projects. I want to share some insights with you today about how design thinking impacts data products.

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Neo4j Graph Framework and Project Assessment

Developed by Neo4j Global Services with the experience honed through hundreds of successful implementations, the Neo4j Graph Framework is the single trusted reference for any organization to act upon to ensure all areas are addressed throughout the lifecycle of the solution development or project implementation.

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Data Lineage: Using Knowledge Graphs for Deeper Insights into Your Data Pipelines

This blog will focus on implementing data lineage specifically for governance and regulatory compliance. First, I will define data lineage and share some data lineage use cases, and then I’ll give a quick overview of MANTA.

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Developers.Zed: The LinkedIn for Developers in Zambia

We had the pleasure of speaking with Kacha Mukabe, who is a grand winner of the 2021 Leonhard Euler Idea Contest for his innovative project using Neo4j graphs at Developers.Zed.

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7 Reasons You Should Go to GraphSummit

We would like to officially invite you to our GraphSummit Series! It kicks off in Paris this summer, with stops in London, Sydney, and lots of places in between, before wrapping up in Copenhagen this fall.

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Our Journey to Self-Discovery: Synthesizing 30 Years of Data Pipelines With Knowledge Graphs

Find out how LPL Financial uses knowledge graphs in the FinServ industry to synthesize 30 years of data pipelines.

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How Knowledge Graphs Drive More Sales With Real-Time Recommendation Engines

Are you familiar with knowledge graphs? What about graph technology in general? If you’re in the retail business, this presentation could be a game-changer.

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Stefan Wendin With Stratazon’s Justo Boero Delbanco and Henrik Johansson

If you want to learn from experts in the graph space, you’ve come to the right place. The head of Neo4j’s Innovation Lab, Stefan Wendin, sat down with two executives at Stratazon, a Malmo-based international trade and development company that uses graph technology to develop valuable tactics for their clients.

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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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Graphie Pioneer in AML, Fraud, and Cybersecurity: 5-Minute Interview with PwC Canada

We were delighted to honor PwC Canada with a Graphie Award for being a Pioneer in AML, Fraud, and Cybersecurity, and had the pleasure of sitting down with Sam Samon, Partner, Financial Crime Technology at PwC, to discuss his work and the win.

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Telstra’s Graphie Award for Excellence in Data Discovery: Why Neo4j?

I was recently working on a project that was looking to understand our data landscape, and I recognized that it would be beneficial to model the data relationships using a graph database. This blog is about my personal experience developing my first Neo4j graph database.

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GeneWeaver: Building a Graph to Map Variants to Genes Using Neo4j 4.x and Bulk Import

Discover how Jackson Laboratory built a graph database to map variants to genes using Neo4j 4.x and the bulk import feature.

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Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS

A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.

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Jim Webber with Dr. Edgar Osuna: Using Graphs to Take Down Fraudsters

Dr. Jim Webber and Dr. Edgar Osuna discuss how graph technology is used at TODO1 to identify bad actors in real-time financial crimes.

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#GraphCast: Current Leverages Neo4j for a Modern Banking Approach

Catch this week’s #GraphCast on how Current leverages Neo4j and Cypher to create a modern, innovative banking approach.

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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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