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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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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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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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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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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Graph Analytics: The Future in Data Science?

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.

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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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Predictions for 2023: What’s on the Horizon for Graph Technology?

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.

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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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20 NODES 2022 Talks You Don’t Want to Miss

We did it together! Thank you, everyone, for making NODES 2022 such a success, especially the speakers, community partners, and the folks behind the scenes.

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8 Reasons You Should Attend NODES 2022

NODES 2022 is the biggest global online conference for developers and data scientists, and we don’t want you to miss out. For the fourth year, we’re hosting this online event to immerse ourselves in all things graph – and we want you to join us!

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Scale New Heights With Neo4j 5 Graph Database

The next generation graph data platform from Neo4j is now generally available! Neo4j 5 unleashes orders-of-magnitude faster performance, unbounded scale, and unmatched agility to run Neo4j databases anywhere you want.

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Using Neo4j Fabric for Scalable Fraud Detection on Graphs

Graph databases have proven immensely valuable in mapping out and predicting fraudulent transactions. However, as databases grow to tens or even hundreds of billions of entities, building a scaled-out data infrastructure that still performs with a response time in milliseconds becomes nontrivial.

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Announcing Graph Feature Engineering with Neo4j and Amazon SageMaker

As many who have been following this space know, the evolution of analytics has compelled many organizations to invest in predictability – that is, predicting future outcomes from existing datasets.

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Network Observability Using Knowledge Graphs at Commonwealth Bank Australia

During Neo4j’s inaugural GraphSummit, we had the pleasure of hosting partners and customers to share insights and stories behind their connected data experiences. We will be featuring more of them in this series of blogs – so watch this space for more recaps.

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NODES: A 24-Hour Virtual Conference for the Global Community

Don’t miss NODES, Neo4j online graph conference on Nov 16 and 17. Learn the latest graph best practices for developers and data scientists. Join over 100 speakers at NODES presenting technical content at all levels of expertise. Register for free!

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Announcing Neo4j AuraDS Enterprise and Neo4j Graph Data Science 2.2

Today, I’m excited to share some new additions to our Data Science foundation with the release of Neo4j AuraDS Enterprise and Neo4j Graph Data Science 2.2, now generally available.

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Connected Data for Compliance: The 5-Minute Interview With Miguel Aguado

“The data model is key to the success of graph technology. If you are able to create the model that reflects your reality, and at the same time fulfill your needs, you are going to be a success, and you… Read more →

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Neo4j Achieves AWS Data and Analytics Competency Status

Achieving the AWS Data and Analytics Competency differentiates Neo4j as an AWS Partner with deep domain expertise in data integration, data management, advanced analytics, data analysis, and visualization.

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Road to NODES Workshop Series: Oct 19 – Nov 2

Brush up your skills before NODES, our graph technology conference on Nov 16 and 17. The Road to NODES series of preparatory workshops will help you get the most out of the event.

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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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NODES 2022 Speaker Highlights

Join us virtually on November 16 and 17 for NODES 2022 – the best place to learn everything about graph technology. Whether your interest is in graphs fueled by machine learning, graphs for knowledge search and retrieval, or graphs leveraged for AI-based product recommendation, this 24-hour online conference is for you.

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