AI use cases in healthcare for Covid-19 and beyond
By Information Age - September 4, 2020
Explore: ai • artificial intelligence • graph database • graph technology • machine learning
Combating Money Laundering: Graph Tech Fights Serious Crimes
By David Penick
August 10, 2020 < 1 min read
Read the first blog in Neo4j’s new six-part series on how Neo4j’s graph technology can help you combat money laundering.
Explore: AML • artificial intelligence • machine learning • money laundering • natural language processing • Panama Papers
Content is king but context is queen
By MicroScope - July 28, 2020
Explore: ai • AI / Machine Learning • AI/ML • artificial intelligence • context • contextual data
How to implement AI and advanced analytics, and observe the technologies’ transformational impact
By Information Age - July 13, 2020
Explore: ai • AI / Machine Learning • AI/ML • Amy Hodler • Analytics • artificial intelligence • ML
The Power of Graph Data Science: 5-Minute Interview with Alicia Frame
By David Penick
July 10, 2020 3 mins read
Check out this week’s 5-Minute Interview with Alicia Frame, Senior Data Scientist at Neo4j, about the Neo4j Graph Data Science Library.
Explore: 5-minute interview • ai • artificial intelligence • data science • graph algorithms • graph data science • python
Building the Enterprise Knowledge Graph
By Jocelyn Hoppa
July 8, 2020 11 mins read
Learn how to build and implement an enterprise knowledge graph from the groun up using the Google Drive API and Neo4j Python.
Explore: artificial intelligence • cypher • enterprise data • Knowledge Graph • knowledge management technology • machine learning • python
Your World Seen Through Your Eyes with Neo4j Bloom
By Corin Gainey
June 17, 2020 25 mins read
Andreas Kolleger discusses Neo4j Bloom and the possibilities it opens up for enterprise organizations across their departments.
Explore: artificial intelligence • Big Data • Connected Data • data model • Data Visualization • graphconnect • Knowledge Graph • machine learning • neo4j • rdbms
Graph-Powered Recommendations: How Smart Recommendations Drive Value
By David Penick
May 11, 2020 2 mins read
Read blog one in Neo4j’s five-part series on how graph-powered recommendation engines drive value for enterprise businesses.
Explore: artificial intelligence • ecommerce • graph-based technologies • machine learning • personalized experience • Recommendation Engines • Recommendations • relational
Financial Fraud Detection with Graph Data Science: Identifying Fraud Rings
By David Penick
May 4, 2020 5 mins read
Read blog four in this series on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • Cypher Query • data science • Financial Fraud Detection • Fraud Rings • graph algorithms • Graph Analytics • graph data science • Neo4j Bloom • python
How Previa Is Reimagining Healthcare
By Corin Gainey
April 29, 2020 21 mins read
Editor’s Note: This presentation was given by Alessandro Svensson and Sarah Johnnesson at GraphConnect New York in September 2018. Presentation Summary Alessandro Svensson is the Head of Neo4j Innovation Labs within the U.S. He and Sarah Johnnesson of Previa discuss… Read more →
Explore: ai • artificial intelligence • Big Data • Connected Data • cypher • data model • Data Visualization • graphconnect • machine learning • neo4j
Financial Fraud Detection with Graph Data Science: Analytics and Feature Engineering
By David Penick
April 20, 2020 2 mins read
Read blog two on how financial services enterprises are using Neo4j’s graph technology to prevent and detect financial fraud.
Explore: artificial intelligence • betweeness centrality • community detection algorithm • cypher • cypher queries • data science • Financial Fraud Detection • fraud detection • graph algorithms • Graph Analytics
Announcing Neo4j for Graph Data Science
By Jocelyn Hoppa
April 8, 2020 7 mins read
Discover the benefits of the Neo4j for Graph Data Science, the first data science environment built to harness the predictive power of relationships.
Explore: ai • Analytics • artificial intelligence • Bloom • data scientists • graph algorithms • Graph Analytics • graph data science • graph database • graph visualization
Fujitsu Laboratories of America Partners with Larus to Provide Enhanced Graph AI Technologies to Neo4j Customers
By Jocelyn Hoppa
April 7, 2020 3 mins read
Fujitsu Laboratories is building on Larus’s expertise in Neo4j customer requirements and application domain knowledge with advanced graph AI technologies.
Explore: ai • artificial intelligence • Connected Data • Deep Tensor • Fujitsu • Graph Databases • graph technology • knowledge graphs • Larus • ML
Machine Learning Algorithms
By Corin Gainey
March 18, 2020 11 mins read
Lauren Shin, Neo4j Developer Relations Intern, introduces machine learning and offers three approaches to better analyze ML data.
Explore: artificial intelligence • Connected Data • data model • Data Visualization • Graph Analytics • graph database • graph visualization • graphconnect • machine learning • neo4j
#GraphCast: Responsible AI
By Jocelyn Hoppa
March 13, 2020 < 1 min read
This week’s #GraphCast features Responsible AI where Amy Hodler discusses ethical development and application of artificial intelligence and technology.
Explore: artificial intelligence • ethical AI • graph database • GraphCast • Responsible AI • responsible technology
GraphConnect 2020 Agenda: Everything You Need to Know
By Rachel Howard
March 6, 2020 < 1 min read
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 →
Explore: artificial intelligence • biotech • data discovery • Data Visualization • digital transformation • graph technology • graphconnect • Healthcare • Knowledge Graph • machine learning
Ontologies in Neo4j: Semantics and Knowledge Graphs
By Corin Gainey
February 19, 2020 12 mins read
Jesús Barrasa presents the two biggest uses of ontologies in graphs using Neo4j and NeoSemantics; inferences and interoperability.
Explore: artificial intelligence • Big Data • Connected Data • graph technology • Knowledge Graph • machine learning • neo4j • ontologies • ontology
Google Releases “Largest Ever” Map of Brain Connectivity
By Computer Business Review - January 24, 2020
Explore: ai • AI / Machine Learning • artificial intelligence • Brain • data connectivity • google • Graph Databases
Connecting Healthcare
By Allison Wu
January 28, 2020 20 mins read
Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.
Explore: artificial intelligence • Connected Data • data silos • data variability • Graph Databases • graphconnect • Healthcare • integration • machine learning • Relational Databases
Graphs to Fight Diabetes
By Corin Gainey
January 15, 2020 14 mins read
Discover how Neo4j graph databases contribute to the study, understanding, prevention and treatment concerning diabetes with Alexander Jarasch from DZD.
Explore: artificial intelligence • Big Data • Data Visualization • graph algorithms • graphconnect • Knowledge Graph • neo4j
The Top 7 Neo4j Videos of 2019
By Jessica Baumgardner
December 27, 2019 3 mins read
In lieu of our bi-weekly #GraphCast, we thought we would share some of the best Neo4j videos from 2019. Consider this an almost-New Year’s Eve celebration of all things video. (No order or favorites here. Just cool videos in a… Read more →
Explore: ai • artificial intelligence • data discovery • emil eifrem • GraphCast • Knowledge Graph • Lyft • machine learning • nasa • nodes
99 (Extra!) AI Predictions For 2020
By Forbes - December 18, 2019
Explore: ai • AI / Machine Learning • Amy Hodler • artificial intelligence • graph database • graph technology
Graphs on GPUs: 5-Minute Interview with Saul Rosales
By David Penick
December 6, 2019 3 mins read
In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss how Saul Rosales and his team use Neo4j with Graphistry.
Explore: 5-minute interview • artificial intelligence • cybersecurity • data lakes • GPUs • graph database • graph technology • Graphistry • machine learning • Saul Rosales
Fullstack GraphQL with Neo4j
By Corin Gainey
November 13, 2019 23 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 9 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