Announcing Neo4j Bloom 2.3: Supercharged With Graph Data Science

With today’s latest release of Neo4j Bloom 2.3, we bring together the power of Graph Data Science and data visualization to AuraDS users and to anyone with Neo4j Graph Data Science Library setup on their databases.

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1 Year Anniversary: Webinars, Demos, Connections – Oh My!

Watch the coolest webinars from the last few months, from Graphs4Good to live demos of fraud detection and machine learning.

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GraphConnect 2022: 10 Sessions You Don’t Want to Miss

Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.

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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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Graphs for Cybersecurity: Introduction

Cyberattacks had been on the rise for years. Learn how to defend against cybercrimes with modern graph technology.

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Meet the Women Leading Innovation in Knowledge Graphs

We enlisted some of the brightest minds in tech to talk about their vast and varied experience with knowledge graphs, and share some insights on this exploding technology.

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Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs

Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.

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Cybersecurity: To Graph or Not to Graph. That Is the Query.

Don’t miss these insightful presentations on cybersecurity from the event Connections: Combatting Modern Cyber Threats with Graph Databases.

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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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16 Things to Consider When Selecting the Right Graph Database

Here are 16 things that you should consider when looking for the right graph database vendor for your application.

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Solving Wicked Space Problems With ASTRIAGraph

Discover how ASTRIAGraph uses knowledge graphs solve wicked space problems such as predicting and preventing satellite collisions.

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From Text to a Knowledge Graph: The Information Extraction Pipeline

Learn how to build an information extraction pipeline to transform unstructured text inputs into a useful knowledge graph.

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Webinar Spotlight: Knowledge Graphs Are Hot!

This month, our webinars will be discussing the hot topic knowledge graphs, as well as how women in tech are using them to lead innovation.

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The Future of AI: Machine Learning and Knowledge Graphs

Using knowledge graphs and AI together can improve the accuracy of the outcomes and augment the potential of machine learning approaches.

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Graph Embeddings: AI That Learns from Your Data to Solve Problems

Graph embeddings learn the structure of your connected data, revealing new ways to solve your pressing problems.

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Graph Data Science Use Cases: Entity Resolution

Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading 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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Neo4j as an Embedded Database: The Key Use Cases of Graph Databases

Check out some of the popular use cases for graph databases that you could embed into your product or application.

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Graph Data Science: The Secret to Accelerating Innovation with AI/ML

Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised 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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Transforming Innovation: Digital Twin for the Win!

Find out what a digital twin can do for your business as well as how you can build digital twins on top of a knowledge graph.

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Combating Antibiotic Resistance: The Medical Climate Crisis

To combat antibiotic resistance, Roland Haas uses a knowledge graph to offer patients the right antibiotic for the right diagnosis at the right dosage.

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Using a Hybrid Technique to Detect Illicit Activities in Shell Companies

See how Milind Tiwari detects fraudulent activities in shell companies using graph database and graph data science.

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From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs

Discover the two general categories of knowledge graphs: actioning for data management and decisioning for data analytics.

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