A Conversation with Graphs
By Corin Gainey
November 20, 2019 16 mins read
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 →
Explore: ai • Connected Data • cypher • graph algorithms • Graph Databases • Graph Theory • graphconnect • json • machine learning • neo4j
Reveal Hidden Patterns In Healthcare Data: Graph Analytics and the Opioid Crisis
By Jocelyn Hoppa
November 19, 2019 8 mins read
Read this blog series to discover leading-edge graph analytic techniques to derive intelligence from complex healthcare data.
Explore: business intelligence • data scientists • graph algorithms • Graph Analytics • healthcare data • machine learning • neo4j • Neo4j Bloom • opioid crisis
#GraphCast: “Graph Databases Will Change Your Freakin’ Life”
By Jocelyn Hoppa
November 15, 2019 < 1 min read
Catch this week’s GraphCast: Watch this entertaining presentation on graph databases and learn the reasons and ways they are life-changing for developers.
Explore: cypher • Ed Finkler • emil eifrem • graph database • GraphCast • GraphStory • neo4j • NODES 2019
Fullstack GraphQL with Neo4j
By Corin Gainey
November 13, 2019 20 mins read
Dive into this introduction to GraphQL with Will Lyon. Built by Facebook, GraphQL is a query language to describe data sets and deliver predictable results.
Explore: artificial intelligence • Connected Data • cypher • Graph Databases • graph query language • graph visualization • graphconnect • GraphQL • GraphQL API • neo4j
Real Examples of Why We Need Context for Responsible AI
By Jocelyn Hoppa
November 12, 2019 8 mins read
Read part one of this two-part series on responsible AI. Discover real-world examples of the myths,., biases and more that currently surround AI.
Explore: ai myths • AI standards • artificial intelligence • biased ai • data scientists • inappropriate ai • machine learning • national institute for standards and tools • neo4j • NIST
Capturing Relationships: 5-Minute Interview with Forrest Swope
By David Penick
November 8, 2019 3 mins read
Check out this interview with Forrest Swope, Manager of Data Operations at UVA, who uses Neo4j to illuminate why students do or don’t thrive.
Explore: 5-minute interview • graph database • graph relationships • graph technology • neo4j • relational database
Overcoming CCPA Compliance Challenges: Why Graph Technology Is the Best Solution
By David Penick
October 28, 2019 2 mins read
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.
Explore: California Privacy Act • CCPA • CCPA compliance • data breach • data privacy • GDPR • graph database • graph technology • neo4j • privacy compliance
Super (Data) Model: Graphing “RuPaul’s Drag Race”
By Jocelyn Hoppa
October 24, 2019 6 mins read
It’s that time of year, y’all… “RuPaul’s Drag Race” is back! At least in the UK… and, at least, that’s what I’ve been told. I’m a newcomer to the “Drag Race” party, you see. I’ve always liked RuPaul but, in… Read more →
Explore: customer journey analytics • data model • graph database • Knowledge Graph • nasa • neo4j • Retail • RuPaul's Drag Race • telecom
Overcoming CCPA Challenges: Graph Technology Solves Personal Data Privacy Challenges
By David Penick
October 21, 2019 < 1 min read
Read the second installment in our series on CCPA, which provides an overview on why graph databases are the right foundation for data privacy compliance.
Explore: California Privacy Act • CCPA • CCPA compliance • data breach • data privacy • GDPR • graph database • graph technology • neo4j
GraphConnect 2020: Call for Papers Closing November 15
By Jocelyn Hoppa
October 17, 2019 2 mins read
Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.
Explore: call for papers • graph database • GraphConnect 2020 • neo4j • Neo4j Community
How Boston Scientific Improves Manufacturing Quality Using Graph Analytics
By Corin Gainey
October 16, 2019 20 mins read
Editor’s Note: This presentation was given by Eric Wespi and Eric Spiegelberg at GraphConnect New York in September 2018. Presentation Summary We’re going to talk about some project themes that make sense when you’re going about developing a graph project.… Read more →
Explore: artificial intelligence • Connected Data • cypher • graph database • GraphAware Hume • graphconnect • Hume • machine learning • neo4j • nlp
Overcoming CCPA Compliance Challenges: What Is CCPA?
By David Penick
October 14, 2019 2 mins read
Read the first installment in our series on CCPA, which provides a background on CCPA and breaks down these compliance challenges for businesses like yours.
Explore: California Privacy Act • CCPA • CCPA compliance • data breach • data privacy • GDPR • graph database • graph technology • neo4j
Announcing the Global GraphHack Winners!
By Jocelyn Hoppa
October 11, 2019 2 mins read
Check out the three winning teams of NODES 2019 Global GraphHack. Learn about these amazing projects that extend the graph ecosystem.
Explore: community detection algorithm • Global GraphHack • GRANDstack • Graph Ecosystem • GraphConnect 2020 • hackers • neo4j • python • React • visualization tool
Check Out Some Global GraphHack Projects & Help Us Pick the Winners!
By Jocelyn Hoppa
October 1, 2019 3 mins read
Learn about and review many of the exciting, awesome Global GraphHack submissions and cast your votes for the winning projects.
Explore: community detection algorithm • Global GraphHack • GRANDstack • Graph Ecosystem • GraphConnect 2020 • hackers • neo4j • python • React • visualization tool
#GraphCast: How Lyft Drives Data Discovery
By Jocelyn Hoppa
September 27, 2019 < 1 min read
Check out this week’s #GraphCast, featuring a GraphTour presentation on how Lyft drives data discovery by Tamika Tannis, a software engineer using Amundsen.
Explore: Amundsen • Connected Data • data discovery • graph database • GraphCast • graphconnect • GraphTour • Lyft • neo4j • Tamika Tannis
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 5 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
5 Ways to Innovate and Delight Users with Real-Time Recommendations
By Jocelyn Hoppa
September 25, 2019 4 mins read
Discover five unique and effective ways to innovate with real-time recommendations by leveraging the flexibility of a Neo4j graph database.
Explore: enterprise data • graph database • neo4j • Neo4j Recommendation Framework • real-time recommendations • recommendation systems
SQL Server Advocate Turns Graph:
5-Minute Interview with Dee Pandian
By David Penick
September 20, 2019 3 mins read
Check out this 5-minute interview with Dee Pandian, Deputy Director of CyForce at Jacobs Engineering about making the switch from SQL to graphs.
Explore: CyForce • Dee Pandian • ETL tool • facebook • graph database • GraphTour DC 2019 • Jacobs Engineering • linkedin • neo4j • Neo4j ETL
#GraphCast: GraphConnect 2020, Early Bird Pricing Ends Oct 1st!
By Jocelyn Hoppa
September 13, 2019 < 1 min read
Welcome to this week’s #GraphCast – our series featuring what you might have missed in Neo4j media from the past fortnight. Last time, our EIC, Bryce Merkl Sasaki, pointed us to the newly released “The Laundromat,” a film about the… Read more →
Explore: GraphCast • graphconnect • neo4j • Panama Papers
DeepWalk: Implementing Graph Embeddings in Neo4j
By Jocelyn Hoppa
September 12, 2019 10 mins read
Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.
Explore: artificial intelligence • community detection algorithm • deep learning • DeepWalk • graph algorithms • Graph Analytics • graph database • graph embeddings • java • machine learning
It’s All in the Relationships: 15 Rules of a Native Graph Database
By Jocelyn Hoppa
September 9, 2019 3 mins read
Learn all the rules of what makes up a native graph database and its deep search advantages over NoSQL relational databases.
Explore: ACID • cypher • graph database platform • index free adjacency • labeled property graph • native graph database • neo4j • nosql • relational database
Hackers, Start Your Engines: Global GraphHack 2019 Kicks Off
By Jocelyn Hoppa
September 3, 2019 2 mins read
Grab your hacker gear and get on it: Global GraphHack is now underway. Find out the theme and what you need to know to submit your project.
Explore: Global GraphHack • GRANDstack • Graph App • graphconnect • neo4j • Neo4j Community • NODES 2019
Connecting the Complexity of Identity and Access Management
By Jocelyn Hoppa
September 2, 2019 4 mins read
Learn how speed makes graph-based IAM particularly applicable for applications with large audiences, many resources and complex connections.
Explore: connected devices • enterprise applications • graph database • graph technology • iam • IAM solutions • identity and access management • neo4j • query response • Telenor
Accelerating Towards Natural Language Search with Graphs
By Jocelyn Hoppa
August 29, 2019 5 mins read
Learn how graphs are used for natural language processing, including loading text data, processing it for NLP, running NLP pipelines and building a knowledge graph.
Explore: ai • APOC • artificial intelligence • data storage • Graph Algorithm • graph database • Knowledge Graph • natural language processing • natural language query • neo4j
AI & Graph Technology: AI Explainability
By David Penick
August 26, 2019 3 mins read
Read the fifth and final installment of our blog series on artificial intelligence and the ways AI explainability adds context for credibility.
Explore: AI / Machine Learning • blog • graph database • Graph Databases • graph platform • graph technology • Knowledge Graph • machine learning • neo4j
