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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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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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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Discover the Soul of a Product Using Neo4j and React

See how the engineering team at Under Armour created an X-Ray Graph with Neo4j to enable employees to better understand the product journey.

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#GraphCast: Tableau & Neo4j in Real Time

Check out this week’s #GraphCast, a quick video that explains how Tableau and Neo4j help you find the right gift.

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Introducing Graph Databases For Dummies

Check out some main highlights from Chapter 1 of the newly release Graph Databases For Dummies, Neo4j Special Edition.

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Graph-Powered Recommendations: Hybrid Scoring and Graph Data Science

Read blog four in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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Graph-Powered Recommendations: Instantly Evaluating Relationships

Read blog two in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.

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GraphConnect 2020 Agenda: Everything You Need to Know

The health and safety of our community, partners and employees are of the utmost importance to Neo4j. After monitoring the COVID-19 situation closely, we have decided to postpone GraphConnect 2020 in New York City to 2021. We are actively scoping… Read more →

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Personalized Product Recommendations at Nordstrom

Delve into how the Nordstrom hackathon team leveraged graph technology to create more personalized product recommendations with existing data.

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Overcoming CCPA Compliance Challenges: Why Graph Technology Is the Best Solution

Read the final installment in our series on CCPA challenges, which shows four steps to privacy compliance and why graph technology is the superior solution.

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GraphConnect 2020: Call for Papers Closing November 15

Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.

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Innovate In Less Than a Week: 5-Minute Interview with Alessandro Svensson

Check out this 5-minute interview with Alessandro Svensson and discover the features and benefits of Neo4j’s Innovation Lab.

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Creating an Intelligent Recommendation Framework

Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.

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#GraphCast: Better Data, Better Decisions

Check out this week’s #GraphCast, featuring a brief video on how a graph database like Neo4j helps you gain a sustainable competitive advantage.

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Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen

Check out this 5-minute interview with Tim Hanssen, Founder and CTO of Mediaconnect, who uses Neo4j to build a real-time recommendation engine.

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The Illusion of Consumer Choice: A Tale of Cereal and Knowledge Graphs

Here at Neo4j, we have a motto: Graphs Are Everywhere. This blog series was inspired by all the times I encountered graphs and “graph problems” in my non-working life. Hopefully these posts help you see more graphs in the world.… Read more →

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Graph Algorithms in Neo4j: Louvain Modularity

Graph algorithms provide the means to understand, model and predict complicated dynamics such as the flow of resources or information, the pathways through which contagions or network failures spread, and the influences on and resiliency of groups. This blog series… Read more →

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Mapping Ontologies in Graphs for Personalization

Editor’s Note: This presentation was given by Irene Iriarte-Carretero at GraphConnect San Francisco in October 2016. Presentation Summary Gousto is a UK-based recipe box service that uses Neo4j to map recipe ontologies so it can provide more personalized recommendations to… Read more →

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Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe

Editor’s Note: This presentation was given by David Fox at GraphConnect New York in September, 2018. Presentation Summary Adobe’s Behance, a platform that allows people to showcase and discover creative work in a social media-type setting, was relying on a… Read more →

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The Top 10 Neo4j Podcasts of 2018

Since March 2015, Neo4j VP Rik Van Bruggen has been hosting the Graphistania podcast, covering the wonderful world of graph database technology and interviewing some of the most interesting graph thinkers and developers from across the globe. If you’re new… Read more →

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How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]

Retail opportunities are as big and dynamic as the industry has ever seen, and yet, knowing what to do or how to attack said opportunities is a bit more difficult to ascertain. U.S. retail sales per year are in the… Read more →

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How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]

“You may also like” sounds simple, but there’s a lot happening behind the scenes. Real-time recommendations work best when they take into account both the user’s needs (what is of interest to them) and your business strategy (items you need… Read more →

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Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics

Today’s most pressing data challenges center around connections, not just tabulating discrete data. Graph analytics accelerate breakthroughs across industries with more intelligent solutions. This blog series is designed to help you better leverage graph analytics so you can effectively innovate… Read more →

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How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware

“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →

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