Machine Learning Algorithms
By Corin Gainey
March 18, 2020 9 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 10 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 17 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 12 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 2 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 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
Will context fuel the next AI revolution?
By Computer Weekly - October 29, 2019
Explore: ai • artificial intelligence
Lessons From Google: The Synergy Of AI And Graphs
By Minutehack - October 29, 2019
Explore: artificial intelligence
On Graphs, AI and ML. Q&A with Alicia Frame
By ODBMS.org - October 21, 2019
Explore: ai • AI / Machine Learning • artificial intelligence • machine learning • ML
Adding data context for more accurate, flexible artificial intelligence
By Information Management - October 17, 2019
Explore: ai • AI / Machine Learning • artificial intelligence
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
Neo4j, ML, AI And Connected Data
By DataArchon - September 24, 2019
Explore: ai • AI / Machine Learning • artificial intelligence • machine learning • ML
How Graphs Enhance Artificial Intelligence
By Jocelyn Hoppa
September 18, 2019 11 mins read
Explore the increasing impact of graph technology on artificial intelligence and the steps toward enhancing AI and ML with a graph database.
Explore: ai • artificial intelligence • feature engineering • graph embeddings • graphconnect • knowledge graphs • machine learning • ML • native learning • neural networks
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
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: What Are Knowledge Graphs?
By David Penick
August 5, 2019 4 mins read
Read the second installment of this blog series on artificial intelligence on the ways knowledge graphs add context for decision support.
Explore: AI / Machine Learning • artificial intelligence • Graph Algorithm • graph algorithms • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • neo4j
AI and Graph Technology: 4 Ways Graphs Add Context
By David Penick
July 29, 2019 5 mins read
Read the first installment of this blog series on artificial intelligence on the ways graph technology adds necessary context for powerful AI solutions.
Explore: ai • AI explainability • artificial intelligence • deep learning • graph algorithms • graph database • Graph Databases • graph technology • knowledge graphs • machine learning
Deciphering Product DNA: Next-Level PDM with AI & Knowledge Graphs
By Jocelyn Hoppa
July 9, 2019 4 mins read
Increasingly complex products undoubtedly require greater management of components, function and data. Classic product data management (PDM) has long reach its limits in this respect. Breaking down product DNA is now driven by artificial intelligence (AI) and knowledge graphs. In… Read more →
Explore: ai • artificial intelligence • bill of materials • ERP • knowledge graphs • machine learning • manufacturers • natural language processing • pdm • PIM
Toward AI Standards: Graph Technology for Responsible AI
By Jocelyn Hoppa
July 2, 2019 3 mins read
Read the first installment of this four-part series on how graphs provide the context artificial intellingence needs to remain reliable and trustworthy.
Explore: AI applications • AI solutions • Amazon • artificial intelligence • contextual information • decision path • graph platforms • graph technology • machine learning • twitter
