Graph Data Science Use Cases: Entity Resolution
By Angela Zimmerman
February 14, 2022 6 mins read
Entity resolution, or disambiguation, is a widely applicable approach to resolve data into unique and valuable entity profiles. Without this crucial process, organizations are left making key decisions based on incomplete, misleading data.
Keywords: cypher • entity resolution • GDS • GDS library • graph data science • graph data science library • graph database • link prediction
Enabling Your Business with the Power of Connected Data
By Angela Zimmerman
February 9, 2022 3 mins read
This blog post will cover some high-level architecture designs to help you get started with a minimal setup.
Keywords: AI / Machine Learning • architecture • cloud • Connected Data • Enterprise • GCP • Graph Analytics • graph analytics platform • graph data platform • graph database
Graph Data Science: The Secret to Accelerating Innovation with AI/ML
By Enzo
January 26, 2022 14 mins read
Learn how graph data science helps you accelerate innovation with AI, as well as supervised and unsupervised machine learning.
Keywords: ai • artificial intelligence • GDS • graph algorithms • graph data science • machine learning • ML • unsupervised ml
Neo4j in the News – Winter Edition: Neo4j Growth, Big Data, and Cybercrime
By Enzo
January 19, 2022 4 mins read
Check out some of the news articles where Neo4j is mentioned in Q4 2021, covering topics from Neo4j’s growth to big data and cybersecurity.
Keywords: ai • Big Data • Cybercrime • cybersecurity • graph data platform • graph technology • knowledge graphs • neo4j • news • Pandora Papers
Doctor.ai, a Voice Chatbot for Healthcare, Powered by Neo4j and AWS
By Angela Zimmerman
January 18, 2022 9 mins read
A vast amount of relation-rich medical data is stored in graph databases on the cloud and processed by machine learning.
Keywords: ai • artificial intelligence • AWS • chatbot • data science • Deep Medicine • Doctor.ai • graph database • Health Care • Healthcare
Use Graphs for Smarter AI with Neo4j and Google Cloud Vertex AI
By Angela Zimmerman
January 7, 2022 8 mins read
Learn how to use Neo4j AuraDB along with Google Cloud Vertex AI to build and deploy graph-based machine learning models.
Keywords: ai • anti-fraud • AuraDS • Connected Data • data science • data scientists • Google Cloud • Google Cloud Vertex AI • graph database • graph embeddings
From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs
By Enzo
November 17, 2021 4 mins read
Discover the two general categories of knowledge graphs: actioning for data management and decisioning for data analytics.
Keywords: actioning • ai • Analytics • data management • Decision Making • decisioning • knowledge graphs • machine learning
#GraphCast: Why You Should Be Thinking About Bias in AI
By Enzo
October 22, 2021 < 1 min read
Check out this video on algorithmic bias in AI, plus my take on why tracking data lineage in a knowledge graph is part of the solution.
Keywords: ai • artificial intelligence • bias • data lineage • ethics • GraphCast • knowledge graphs • machine learning • ML
Neo4j Raises the Largest Funding Round in Database History
By Enzo
June 17, 2021 5 mins read
Check out Neo4j CEO and Co-Founder Emil Eifrem’s thoughts on raising the largest funding round in database history.
Keywords: Big Data • data management • graph data science • Graph Databases • largest funding round in database history • machine learning • neo4j
Embracing Open Data: The 5-Minute Interview with Nur Aini Rakhmawati
By David Penick
June 4, 2021 < 1 min read
Read this week’s 5-minute interview to learn how associate professor Nur Aini Rakhmawait incorporates Neo4j’s graph technology in her work.
Keywords: graph technology • Graphie Award • Institut Teknologi Sepuluh • Neo4j Community • Nur Aini Rakhmawati • open data
Top 5 Graph Analytics Takeaways from Gartner’s Data & Analytics Summit
By Enzo
May 11, 2021 7 mins read
Discover the top 5 graph analytics takeaways from Gartner’s Data & Analytics Summit, from creating context to improving communication.
Keywords: ai • Analytics • artificial intelligence • Gartner • Graph Analytics • graphs • machine learning
Advantages of Neo4j AuraDB Enterprise: Effortless and Scalable
By David Penick
April 19, 2021 2 mins read
Discover why Neo4j’s AuraDB Enterprise is considered effortless and scalable by its customers.
Keywords: advantages • AI at scale • Aura Enterprise • blog series • effortless • graph database • Neo4j Aura Enterprise
Graphs for Real-Time Transaction Processing: 5-Minute Interview with Jorge Zaccaro
By David Penick
April 9, 2021 5 mins read
Discover how Jorge Zaccaro, a software engineer, uses graph database technology for transaction processing at Minka.
Keywords: 5-minute interview • cloud-hosted • database • digital currencies • Jorge Zaccaro • Minka • Neo4j Aura • OLTP • transaction processing
#GraphCast: A Renaissance of Knowledge Graphs
By Deb Cameron
March 19, 2021 < 1 min read
Check out this week’s #GraphCast series for an informative podcast on knowledge graphs with Amy Hodler.
Keywords: BBBT • graph data science • GraphCast • knowledge graphs
Graph in the Auto Industry: The 5-Minute Interview with Elena Kohlwey
By David Penick
March 12, 2021 < 1 min read
Read this interesting interview with Elena Kohlwey to learn how RLE uses Neo4j’s graph technology in the automative industry.
Keywords: AI / Machine Learning • automotive industry • business plan gaming • Graph Databases • graph technology • Ninja • RLE
New Certification Exam Available: Neo4j Graph Data Science
By Enzo
March 4, 2021 2 mins read
Announcing our new certification exam you can take on GraphAcademy to become a certified graph data science professional.
Keywords: ai • certification • graph data science • neo4j • neo4j graph data science
Graphs for Artificial Intelligence and Machine Learning
By Enzo
February 18, 2021 9 mins read
Discover how graph technology is changing the artificial intelligence and machine learning landscape with graph theory and algorithms.
Keywords: ai • artificial intelligence • graph algorithms • graph data science • Graph Search • Graph Theory • intelligent applications • machine learning • ML • Recommendations
Dimensions in the Data: 5-Minute Interview with Benjamin Squire
By David Penick
February 12, 2021 < 1 min read
Check out the latest 5-minute interview, where Ben Squire explains how Meredith Corporation uses graph databases.
Keywords: 5-minute interview • Graph Algorithm • interconnected datasets • JOIN operation • Meredith • Meredith Corporation • MySQL • Weakly Connected Components
New Supervised Machine Learning Workflows in Neo4j!
By Enzo
February 11, 2021 5 mins read
Discover the new features in GDS 1.5, including new algorithms, more machine learning, and easier production deployment.
Keywords: algorithms • data science • GDS 1.5 • GDS release • graph data science • graph embeddings • neo4j • production deployment • supervised machine learning
Top 10 Use Cases: Knowledge Graphs
By Jim Webber
February 1, 2021 2 mins read
Discover how using graph technology for knowledge graphs can augment your enterprise search capabilities.
Keywords: Big Data • enterprise search • graph technology • Knowledge Graph • nasa • relational versus graph • search • Top 10 Use Cases
Graph Data Platforms: Collections vs. Connections
By David Penick
January 11, 2021 < 1 min read
Read this blog to find out how graph databases differ from SQL and NoSQL databases, empowering you to reap the benefits of connected data.
Keywords: AI / Machine Learning • Collections vs. Connections • Data Relationships • graph data platforms • nosql • real-time recommendation • relational databases vs. graph
21 Reading Recommendations for 2021
By Enzo
January 4, 2021 6 mins read
Check out the 21 books to add to your 2021 reading list in 2021, on topics including graph technology and AI/machine learning.
Keywords: artificial intelligence • Data Cloud • fintech • for dummies • fullstack • GRANDstack • graph data science • Graph Theory • machine learning • reading
20 NODES 2020 Talks You May Have Missed
By Enzo
December 31, 2020 3 mins read
Check out the amazing talks from Neo4j Online Developer Expo and Summit you might have missed.
Keywords: covid-19 • cypher • drug discovery • Google Cloud • Graph Algorithm • Graph Analytics • graph data science • Graph Databases • graph-native learning • knowledge graphs
11 Awesome Neo4j Blogs from 2020
By Jocelyn Hoppa
December 29, 2020 6 mins read
Check out 11 awesome Neo4j blogs from 2020 on topics ranging from FinCEN files and COVID-19 graphs to knowledge graphs and AI.
Keywords: ai • contact tracing • covid-19 • FinCEN • fraud detection • graph data models • graph feature engineering • knowledge graphs • ML • neo4j course
The Top 7 Neo4j Webinars of 2020
By Jessica Baumgardner
December 28, 2020 3 mins read
Check out the top Neo4j webinars from 2020, exploring key topics like human trafficking, responsible AI, graph data science and more.
Keywords: 4.0 • ai • artificial intelligence • Connected Data • connections • GDS library • graph data science • graph data science library • Graphs4Good • human trafficking