Introducing Neo4j AuraDB: A New Graph Database as a Service
By Jocelyn Hoppa
November 6, 2019 4 mins read
Discover unique features of Neo4j AuraDB, the first fully managed native graph database as a service, and why it was built to be developer friendly.
Keywords: ACID Connected Data cypher database as a service DBaaS GRANDstack GraphQL intelligent applications native graph database Neo4j Aura
Streaming Graphs: Combining Kafka and Neo4j
By Jocelyn Hoppa
October 29, 2019 12 mins read
If you’re looking for the basics on how to turn streams into graphs with Neo4j and the Neo4j-Streams plugin, you’ve come to the right place.
Keywords: apache kafka Confluent Cloud cypher financial fraud iam Neo4j Browser neo4j streams property graph model Recommendations social network
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.
Keywords: call for papers graph database GraphConnect 2020 neo4j Neo4j Community
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.
Keywords: enterprise data graph database neo4j Neo4j Recommendation Framework real-time recommendations recommendation systems
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
Announcing NODES 2019 Global GraphHack
By Jocelyn Hoppa
July 25, 2019 2 mins read
Leading up to our first-ever Neo4j Online Developer Expo and Summit (NODES 2019), we’re planning a worldwide virtual hackathon with our community! Neo4j community members of all experience levels are encouraged to participate. This is a great opportunity to connect… Read more →
Keywords: DevZone Global GraphHack graphconnect hackathon Neo4j Community Neo4j Online Developer Expo and Summit NODES 2019
Graphs in Banking: Integration with AI & Machine Learning [Video]
By Allison Wu
July 16, 2019 < 1 min read
Check out this webinar on graph technology within the financial services industry, featuring use cases on fraud detection, MDM and IAM.
Keywords: ai banking financial services fraud graph database iam machine learning Master Data Management MDM webinar
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
Graphs in Government: The Power of Graph Technology
By Jocelyn Hoppa
April 29, 2019 5 mins read
The use cases for a graph database in government are endless. Graphs are versatile and dynamic. They are the key to solving the challenges you face in fulfilling your mission. Using real-world government use cases, this blog series explains how… Read more →
Keywords: Connected Data criminal investigations government graph database graph technology nasa neo4j rdbms relational database u.s. army
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
Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019 3 mins read
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Keywords: Connected Data data scientists developers graph algorithms Graph Analytics intelligent solutions machine learning neo4j oreilly predictive analytics
What’s Next for Graphs: Neo4j for Google Cloud
By Bryce Merkl Sasaki
April 9, 2019 4 mins read
It’s official: To a sold-out crowd at Google Cloud Next ’19 today, we’ve formally announced a new strategic partnership with Google Cloud that delivers Neo4j as a fully managed service deeply integrated with the Google Cloud Platform. Now every GCP… Read more →
Keywords: DBaaS GCP Google Cloud Google Cloud Next google cloud platform graph algorithms graph database Kubernetes Neo4j for Google Cloud PageRank
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
Harnessing the Power of Neo4j for Overhauling Legacy Systems at Adobe
By Jocelyn Hoppa
January 23, 2019 2 mins read
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 →
Keywords: activity feed Adobe Adobe Creative Cloud Behance Cassandra Causal Clustering dark launch graphconnect Legacy Systems social feed
Graph Algorithms in Neo4j: PageRank
By Jocelyn Hoppa
January 22, 2019 5 mins read
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 →
Keywords: centrality algorithms cypher graph algorithms Graph Analytics graph search algorithms Larry Page machine learning PageRank Twitter analytics
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
#GraphCast: Graph Algorithms & Game of Thrones
By Jocelyn Hoppa
December 9, 2018 < 1 min read
Welcome to this week’s #GraphCast – our new series featuring what you might have missed on the Neo4j YouTube channel. Last week, our Editor-in-Chief, Bryce Merkl Sasaki, shined some light back on our Intro to APOC video series (by Michael… Read more →
Keywords: data analysis Game of Thrones graph algorithms graph database GraphCast
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