How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 12 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Keywords: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
Creating an Intelligent Recommendation Framework
By Jocelyn Hoppa
September 5, 2019 4 mins read
Read this blog to learn more about the benefits of using a native graph database to build a real-time recommendation engine with personalization.
Keywords: centrality algorithms • community detection • cypher • data model • graph algorithms • graph database • graph model • GraphQL API • index free adjacency • Intelligent Recommendations Framework
Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen
By Jocelyn Hoppa
August 9, 2019 3 mins read
Check out this 5-minute interview with Tim Hanssen, Founder and CTO of Mediaconnect, who uses Neo4j to build a real-time recommendation engine.
Keywords: 5-minute interview • graph database • graph technology • Joins • real-time recommendations • Recommendations • relational database • sql • Tim Hanssen
Toward AI Standards: Graph Technology as a Fabric for Context
By Jocelyn Hoppa
July 8, 2019 4 mins read
Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.
Keywords: contextual data • data connections • graph database • graph platform • graph technology • Graph Theory • property graph model • Relational Databases
The Present and Future of Artificial Intelligence and Machine Learning
By Jocelyn Hoppa
June 12, 2019 22 mins read
Discover how we can methodically explore capabilities related to artificial intelligence and machine learning to successfully predict the future.
Keywords: ai • AI ethics • AI technology • artificial intelligence • Big Data • graphconnect • machine learning • machine learning technology • modern computing • natural language generation
NODES 2019: Launching the Neo4j Online Developer Expo & Summit!
By Bryce Merkl Sasaki
June 5, 2019 3 mins read
Discover what’s in store for Neo4j’s first-ever online summit built just for developers, engineers, data scientists and graphistas from around the globe.
Keywords: ai • APOC • cypher • GRANDstack • graph algorithms • graphHack • machine learning • Neo4j Community • nodes • Recommendation Engines
Transforming the Enterprise: AI at Scale with Neo4j
By Jocelyn Hoppa
April 24, 2019 21 mins read
Discover how Ernst and Young takes advantage of graph-driven enterprise AI and machine learning to develop stronger fraud-detection and customer 360 mapping tools.
Keywords: AI at scale • customer 360 • enterprise AI • fraud detection • Graph Analytics • graph database • graph learning • graph recommendation engine • graphconnect • machine learning
Graph Algorithms in Neo4j: Graph Algorithms in Practice
By Jocelyn Hoppa
April 8, 2019 5 mins read
Graph analytics have value only if you have the skills to use them and if they can quickly deliver the insights you need. This blog provides a hands-on example using Neo4j on data from Yelp’s Annual Dataset challenge. Graph algorithms… Read more →
Keywords: APOC • cypher • graph algorithms • Graph Analytics • graph model • importing data • neo4j • PageRank • real-time recommendations • yelp
Mapping Ontologies in Graphs for Personalization
By Jocelyn Hoppa
February 20, 2019 14 mins read
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 →
Keywords: collaborative filtering • content-based filtering • customer journey • gousto • graph ontology • graphconnect • hybrid recommender system • LightFM • Personalization • Recommendation Engine
Large-Scale Real-Time Recommendations with Neo4j
By Jocelyn Hoppa
January 30, 2019 8 mins read
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 →
Keywords: cypher • dynamic queue • engagement platform • event recommendations • graphconnect • MySQL • native graph database • real-time recommendations • relational database
This Week in Neo4j – Anti-Money Laundering Investigation, Replicating The GitHub GraphQL API, Getting Started with machine learning on graphs
By Mark Needham
January 5, 2019 4 mins read
Happy New Year everybody, and welcome to our first version of TWIN4j of 2019. I’d only just got used to writing the year as 2018! This is traditionally a quiet week, but we’ve still got some good stuff for you… Read more →
Keywords: anti-money laundering • DeepMind • github • GraphQL • machine learning • Neo4j Community • real-time recommendations • twin4j
The Top 10 Neo4j Podcasts of 2018
By Bryce Merkl Sasaki
December 27, 2018 4 mins read
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 →
Keywords: data science • emil eifrem • Graphistania • Kettle • natural language processing • Neo4j Community • real-time recommendation engine • social network analysis • spring data neo4j • telecom
Intelligent Recommendation Engine for Financial Analysts
By Jocelyn Hoppa
December 7, 2018 8 mins read
Editor’s Note: This presentation was given by Geoffrey Horrell at GraphConnect New York in October 2017. Presentation Summary Thomson Reuters has been collecting data for the last 150 years. It became clear that its financial analysis custers were struggling with… Read more →
Keywords: Data Relationships • financial analysis • financial data insight • graph database • graphconnect • Knowledge Graph • natural language processing • property graph • Recommendation Engine • Thomson Reuters
Evaluating Investor Performance Using Neo4j, GraphXR and ML
By Jocelyn Hoppa
December 6, 2018 7 mins read
[Editor’s Note: The blog post and project is the result of a group of graduate students in the M.S. Business Analytics program at Santa Clara University. Learn more about these awesome folks below!] Venture capital has become an increasingly popular… Read more →
Keywords: Data Visualization • graph database • graph filtering • graphical software • GraphXR • Kineviz • machine learning algorithm • machine learning analysis • neo4j • property graph
(hackathon)-[:AT]->(stackoverflowoffices)
By Jocelyn Hoppa
December 5, 2018 7 mins read
This years GraphConnect 2018 – the gathering of graph enthusiasts in Times Square, New York City – featured a special gem for developers. The friendly guys from Stack Overflow opened their offices and invited developers and hackers to a “Hackathon”… Read more →
Keywords: cypher • graph database • graph visualization • graphconnect • hackathon • Java Script • Neo4j Community • Neo4j Desktop • ReactJS • stack overflow
How to Exploit the 6 Relationships of Retail to Delight Your Customers [Infographic]
By Jocelyn Hoppa
November 30, 2018 < 1 min read
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 →
Keywords: Connected Data • Graph Databases • graph technology • Retail • retail competitive advantage • retail opportunities
How Real-Time Recommendations Increase Revenues, Optimize Margins and Delight Customers [Infographic]
By Jocelyn Hoppa
November 8, 2018 2 mins read
“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 →
Keywords: business rules • collaborative filtering • financial services • government services • graph platform • graph technology • Healthcare • knowledge-based filtering • neo4j • real-time recommendations
Graph Algorithms in Neo4j: Use Cases for Graph Transactions & Analytics
By Jocelyn Hoppa
November 5, 2018 5 mins read
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 →
Keywords: ai • customer 360 • eBay • fraud detection • graph algorithms • Graph Analytics • identity and access management • Network Monitoring • real-time recommendations • Social Networks
How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018 5 mins read
“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 →
Keywords: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
We Just Closed the Largest Single Investment in the Graph Space. Now What?
By Bryce Merkl Sasaki
November 1, 2018 5 mins read
I’m thrilled to announce that Neo4j has just closed $80 million in a series E funding round. We are happy to welcome One Peak Partners and Morgan Stanley Expansion Capital to the graph of Neo4j funders. I’d also like to… Read more →
Keywords: ai • artificial intelligence • Connected Data • fraud detection • graph database • graph technology • machine learning • ML • neo4j • Recommendation Engine
5 Noteworthy Use Cases of Graph Technology and Graph Analytics
By Jocelyn Hoppa
October 23, 2018 5 mins read
When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →
Keywords: fraud detection • Graph Analytics • graph database • graph technology • Graph Theory • identity access management • machine learning • regulatory compliance • Relational Databases • supply chain
Meet the 2018 Graphie Award Winners
By Bryce Merkl Sasaki
September 21, 2018 5 mins read
Last night at GraphConnect 2018, we announced the 11 winners of the 2018 Neo4j Graphie Awards at the conference’s closing reception. The Graphie Awards celebrate the world’s most innovative graph technology applications, recognizing success in connected data across multiple categories… Read more →
Keywords: artificial intelligence • Connected Data • digital transformation • Graph Analytics • graph platform • graph technology • graphconnect • machine learning • medical research • PageRank
Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018 12 mins read
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Keywords: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
Custom Visualization Solutions: Getting the Most Out of Your Data
By Jocelyn Hoppa
September 18, 2018 7 mins read
Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →
Keywords: Connected Data • cypher • Data Visualization • diagram data • diagram visualization • graph database • graphconnect • neo4j • Recommendation Engines • yFiles
When Graph Meets Big Data: Obstacles and Opportunities for Visualization
By Jocelyn Hoppa
September 12, 2018 5 mins read
Love the buzzword or hate it, “big data” is an inescapable reality. Whether it’s for business intelligence or bioinformatics, recommendation engines or risk analysis, the volume, variety and velocity of data is only going to increase. Graph is an undeniably… Read more →
Keywords: 3D graph • Big Data • Bioinformatics • Collab Graphs • graph visualization • graphconnect • Kineviz • Neo4j for the Enterprise • Recommendation Engines • VR data visualization