How Apna Built a Better Job Search Experience With Graph Database

Discover how Apna uses Neo4j Graph Database to offer a more personalized and efficient job search experience for India’s emerging workforce.

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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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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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A Conversation with Graphs

Editor’s Note: This presentation was given by Tatiana Hartinger at GraphConnect New York in September 2018. Presentation Summary Tatiana Hartinger is a mathematician and a Cognitive Solutions Consultant specializing in graph theory from Cognitiva. Cognitiva is using graphs to enhance… Read more →

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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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#GraphCast: The Laundromat [Panama Papers Movie]

Check out this week’s #GraphCast, featuring a trailer of “The Laundromat” (starring Meryl Streep), a movie about the Panama Papers investigation powered by Neo4j.

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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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#GraphCast: Follow the Money

Watch this week’s #GraphCast, in which recent ICIJ news has us diving back into the Paradise Papers and their use of graph technology for the investigation.

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Toward AI Standards: Why Context Is Critical for Artificial Intelligence

Learn what Neo4j CEO Emil Eifrem believes is the most critical component of both technical and ethical standards for AI – and how we might make it happen.

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#GraphCast: How Graphs Are Used around the Globe

Check out this week’s #GraphCast, featuring graph technology users from around the world talking about how they use Neo4j to solve connected data problems.

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Applying Graphs to Enterprise Media Asset Management

Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →

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#GraphCast: Graph Analytics For The Throne [GoT]

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, I pointed out that we have an incredible Neo4j Online Meetup and that you’re a square if… 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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#GraphCast: Fake News Edition

Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last time, our Editor-in-Chief, Bryce Merkl Sasaki, pivoted away from video and onto the podcast medium to highlight a recent… Read more →

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Large-Scale Real-Time Recommendations with Neo4j

Editor’s Note: This presentation was given by Tim Hanssen at GraphConnect 2018 in New York City. Presentation Summary Prepr is a multi-channel engagement platform that streamlines content workflows and powers valuable audience interactions. They were using the MySQL relational database… Read more →

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#GraphCast: Emil Eifrem on the Exponential View podcast with Azeem Azhar

Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last week, our Managing Editor, Jocelyn Hoppa, highlighted the similarities between the choose-your-own-adventure movie, Black Mirror: Bandersnatch and running… Read more →

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Fraud Detection Using Graph Technology

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… 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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Graphs4Good: Connected Data for a Better World

You’re reading this because of a napkin. It was the year 2000, and I was on a flight to Mumbai. Peter, Johan and I had been building an enterprise content management system (ECM) but kept running up against the challenge… Read more →

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Graph Databases for Beginners: Graph Theory & Predictive Modeling

There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →

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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →

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The Story behind Russian Twitter Trolls: How They Got Away with Looking Human – and How to Catch Them in the Future

It’s no secret that Russian operatives used Twitter and other social media platforms in attempt to influence the most recent U.S. presidential election cycle with fake news. The question most people aren’t asking is: How did they do it? More… Read more →

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Getting Started with Data Analysis using Neo4j [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Why Are We Doing This? Data analysis is the phenomenon of dissecting, structuring and understanding data.… Read more →

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Analyzing the Paradise Papers with Neo4j: A Closer Look at Queries, Data Models & More

Our friends from the ICIJ (International Consortium of Investigative Journalists) just announced the Paradise Papers this past week, a new trove of leaked documents from the law firm Appleby and trust company Asiaciti. Similar to the Panama Papers before (which… Read more →

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