Neo4j Live Demo: Graphs for Intelligent Applications

In this 30-minute live demo, you’ll hear how graph technology helps extract deeper context across your data to build more intelligent applications. Learn how graphs are fueling transformation in nearly every field, from financial services and retail to life sciences… Read more →

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Neo4j Live Demo: Graph Data Science and Machine Learning

Improve Predictions and Machine Learning Models with Graph Data Science Thinking about incorporating relationships into your data to improve predictions and machine learning models? Maybe you are creating a knowledge graph or looking for a way to improve customer 360,… Read more →

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Neo4j Live Demo: Supply Chain

The global supply chain is in turmoil, but organizations can build a resilient supply chain using graph techniques. Join us for a 30-minute live demo where you’ll learn to perform real-time analytics on large datasets to optimize routes for delivery… Read more →

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Neo4j Live Demo: Graphs for Fraud Detection

Real-time analysis of data relationships is essential to uncovering fraud rings and other sophisticated scams before fraudsters and criminals cause lasting damage. Join us for a 30-minute live demo where we showcase how Neo4j uncovers difficult-to-detect patterns that far outperform… Read more →

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Neo4j Live Demo: Key Features

In this live demo showcasing key features of our graph data platform, you’ll learn how Neo4j has revolutionized modern data and analytics through the power of connected data. Our experts also walk you through a StackOverflow example, extracting questions, answers,… Read more →

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Neo4j Live Demo: Neo4j AuraDB Graph Database as a Service

In this live demo showcasing Neo4j as a fully managed cloud platform, you’ll learn why graph databases unlock use cases that are impossible to achieve with other technologies. Our experts walk you through a customer 360 use case, explaining the… Read more →

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Neo4j Live Demo: 5 Graph Data Science Basics For Improving Predictions

Graph data science is a new way of analyzing data to improve predictions and machine learning models. Every data scientist needs to know when and where to apply graph data science in their work. Join us for this 30-minute session… Read more →

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NODES 2022

Join us November 16-17 across all timezones for this free live, virtual, education event, for beginners and experts alike. It doesn’t matter whether you just heard about graph or you’re back to learn expert best practices, there’s something for everyone.… Read more →

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Neo4j Live: Easy Graph Visualisations for Data Scientists with yworks

We’ll show you free tools for the easy visualization of your neo4j graph database contents inside jupyter notebooks. You’ll learn how to use sophisticated automatic graph layouts and advanced styling options to gain quicker insights into your data. Use the… Read more →

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Getting Started with Databases: SQL / MongoDB / Graph

Databases are everywhere. The number of different types of databases continues to grow. The need for knowledge about how to work with databases is not only limited to developers but as data becomes more and more important, everyone needs to… Read more →

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From Zero to GraphQL API for the Marvel Cinematic Universe

We can follow along by indulging in the rich connected network of the superheroes and their stories as a graph. Today, we want to grab the data from the Marvel APIs, import them into a free Neo4j cloud instance and… Read more →

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Going Meta – a series on graphs, semantics and knowledge Ep. 8

Episode 8 of Going Meta – a series on graphs, semantics and knowledge Jesús Barrasa: https://twitter.com/BarrasaDV Repository: https://github.com/jbarrasa/goingmeta

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Neo4j Live Demo: Graphs for Intelligent Applications

In this 30-minute live demo, you’ll hear how graph technology helps extract deeper context across your data to build more intelligent applications. Learn how graphs are fueling transformation in nearly every field, from financial services and retail to life sciences… Read more →

Explore:  


Neo4j Live Demo: Graph Data Science and Machine Learning

Predictive Modeling and Analytics with Graph Data Science for Better Machine Learning Thinking about incorporating relationships into your data to improve machine learning? Maybe you’re creating a knowledge graph to investigate dependencies and find counterfactuals. Relationships are highly predictive of… Read more →

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Neo4j Live Demo: Knowledge Graphs for Skills Discovery

A knowledge graph drives intelligence into your data. Join us for a 30-minute live demo on how to use knowledge graphs to find hidden talent at your organization.

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Neo4j Live Demo: Supply Chain

The global supply chain is in turmoil, but organizations can build a resilient supply chain using graph techniques. Join us for a 30-minute live demo where you’ll learn to perform real-time analytics on large datasets to optimize routes for delivery… Read more →

Explore:  


Neo4j Live Demo: Graphs for Fraud Detection

Real-time analysis of data relationships is essential to uncovering fraud rings and other sophisticated scams before fraudsters and criminals cause lasting damage. Join us for a 30-minute live demo where we showcase how Neo4j uncovers difficult-to-detect patterns that far outperform… Read more →

Explore:  


Neo4j Live Demo: Key Features

In this live demo showcasing key features of our graph data platform, you’ll learn how Neo4j has revolutionized modern data and analytics through the power of connected data. Our experts also walk you through a StackOverflow example, extracting questions, answers,… Read more →

Explore:  


Neo4j Live Demo: Neo4j AuraDB Graph Database as a Service

In this live demo showcasing Neo4j as a fully managed cloud platform, you’ll learn why graph databases unlock use cases that are impossible to achieve with other technologies. Our experts walk you through a customer 360 use case, explaining the… Read more →

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Neo4j Live Demo: Graph Recommendation Systems

Real-time recommendation engines are key to the success of any online business. Join us for a 30-minute live demo where you’ll learn how to build a recommendation engine using graph data science techniques.

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Neo4j Live: Building a recommendation engine with a Neo4j GDS Machine Learning Pipeline

Guest: Philip Brunenberg Blog Twitter This talk is of theoretical nature. Philip will explain how we can implement a recommendation engine using the Neo4j GDS library. We will dive into the details, which steps are required and how they work… Read more →

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Neo4j Live: Graphyx – Alteryx Connector for Neo4j

Thomas Larsen will give an overview of his Alteryx Connector for Neo4j. Graphyx is a suite of Neo4j connectors for Alteryx. It adds three tools to the Connectors tab in the Tool Palette: Neo4j Input: Import cypher queries into Alteryx… Read more →

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PyGeekle – Graph Databases for Python Developers

Graph Databases have been around for years now, but many Python programmers are unclear on the benefits of using one, much less having implemented one. You’ll walk away from this talk knowing when to leverage one, what the current technology… Read more →

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ONLINE – Neo4j Lightning Modeling

In this remote session you learn how to design, implement and evolve a graph database model. Expect these questions to be answered: What are the elements of the property graph model? How does your project workflow change? What are some… Read more →

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ONLINE – Neo4j Lightning Basics

In this remote session we take a whirlwind tour of the Neo4j Graph Database platform. Expect these questions to be answered: What is a graph database? What are the benefits of a graph database? What are the elements of the… Read more →

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