This Week in Neo4j: Ops Manager Release, New .NET Courses, Cybersecurity, Twitter, Med Research, and More
By Yolande Poirier
July 2, 2022 4 mins read
Whether you’re running a single instance of Neo4j, or multiple databases across clusters, you will be pleased to hear about the release of the Neo4j Ops Manager. This new product makes it effortless to monitor and administer all your Neo4j… Read more →
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This Week in Neo4j: Bloom 2.3, Graph Data Science, Java, AWS, Python, Ontology, Microservices, and More
By Yolande Poirier
June 25, 2022 3 mins read
Graph Data Science features are now available in Bloom 2.3! Just select the Graph Data Science icon and choose from the available algorithms. The GDS plugin needs to be installed on the database for self-managed users, or you can use… Read more →
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Can’t Stop, Won’t Stop: Graph Data Science 2.1 Is Better Than Ever
By Angela Zimmerman
June 23, 2022 5 mins read
With the latest release of our Graph Data Science library, not only do you get more algorithms than ever before, but you also get access to the easiest to use and most scalable framework available.
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This Week in Neo4j: AuraDS on Vertex AI, Going Meta Series, Cypher Cheatsheet, GraphConnect Recordings, Centrality Algorithms, and More
By Yolande Poirier
June 18, 2022 3 mins read
Back in January, we previewed Neo4j AuraDS and Google Cloud Vertex AI’s partnership and demonstrated how you can build and deploy graph-based machine learning models. AuraDS is graph data science as a service now running as a managed service on… Read more →
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This Week in Neo4j: GraphConnect, New Tools and Features, Neo4j GDS Python Client, ImageToGraph, and More
By Enzo
June 11, 2022 2 mins read
It’s been such an eventful week for the Neo4j community, especially for those who went to GraphConnect 2022 in Austin, Texas. If you were there in person earlier this week (lucky you), you probably saw all of the exciting new… Read more →
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Graph Technology Puts Data at the Heart of Government Decision-Making
By IT for CEOs - May 25, 2022
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This Week in Neo4j: Community Announcement, Clinical Trials ML, Graph Embeddings, Real-Time Analytics, Graph Neural Networks, and More
By Yolande Poirier
June 5, 2022 3 mins read
I’m thrilled to announce the launch of our new community platform, hosting more content and scaling to infinite conversations. It is just the beginning! Our goal remains the success of our community members, helping grow their relationships in the world… Read more →
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This Week in Neo4j: Healthcare, Energy Distribution, AI, Cloud, Java & Quarkus, Graph for Beginners, and More
By Yolande Poirier
May 28, 2022 3 mins read
We are very proud to announce the 2022 Neo4j Connected Data Fellowship in partnership with the International Consortium of Investigative Journalists (ICIJ). The fellowship, first initiated in 2017, is inspired by the ability of graph databases to strengthen reporting and… Read more →
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Graph Algorithms for Cybersecurity: A Picture Is Worth 1,000 Rows
By Enzo
May 27, 2022 13 mins read
Learn how cybersecurity firm Uplevel uses graph algorithms and analytics to detect malicious patterns and prevent cyberattacks.
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GraphConnect 2022: 10 Sessions You Don’t Want to Miss
By Enzo
May 24, 2022 10 mins read
Here are 10 highly-anticipated GraphConnect 2022 presentations (among 130+ sessions) that you don’t want to miss.
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This Week in Neo4j: Graph Composition, Cypher Tips, Dataset Analysis, Kafka Messages, Running Backups, Legal AI, and More
By Yolande Poirier
May 21, 2022 3 mins read
GraphConnect, the highly-anticipated gathering of graph technology experts and enthusiasts, is coming to Austin, Texas! It’s the best place to learn about connected data and relationships in graphs. Find out about the trends and topics that will shape the future.… Read more →
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Neo4j anuncia serviço de Data Science no Brasil
By InforChannel - May 13, 2022
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This Week in Neo4j: Graph Embeddings, OSS Vulnerabilities, Supply Chain Stack, Star Wars Graph, Chatbot MD, and More!
By Yolande Poirier
May 7, 2022 3 mins read
With graph data science, you can choose between several graph embedding algorithms, and generating low-dimensional vector spaces is easy. But how do you evaluate the embedding results in your machine learning application? Enter Emblaze, a Jupyter notebook widget for visually… Read more →
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This Week in Neo4j: Microservices, European Gas Network, FIFA22, DevTools, Java, Kubernetes, and More
By Yolande Poirier
April 30, 2022 3 mins read
Graphs are everywhere and data scientists are using graph technology to model the world as they explore complex datasets. Here, Ali Emre Varol unleashes the knowledge graph on a dataset representing the European gas distribution network. He performs exploratory data… Read more →
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insideBIGDATA Latest News – 4/28/2022
By insideBIGDATA - April 28, 2022
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Getting Better Analytics Insights with Graph-Powered Data Science
By Digitalisation World - April 5, 2022
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This Week in Neo4j: New Neo4j + Java Course, Interactive Dashboards, Intelligent Supply Chain Apps, and More
By Yolande Poirier
April 26, 2022 3 mins read
A new course is available on GraphAcademy for Building Neo4j Applications with Java! Michael Hunger and I collaborated to create a hands-on course that starts with a project skeleton and guides users through writing code to build a completed IMDB-clone… Read more →
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New in 2022: Introducing Graph Data Science 2.0 and General Availability of AuraDS
By Angela Zimmerman
April 12, 2022 4 mins read
Today, we’re celebrating the two-year anniversary Graph Data Science at Neo4j with some incredible advancements.
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Top Databases for Artificial Intelligence, IoT, Deep Learning, Machine Learning, Data Science, and Other Software Applications
By National Cybersecurity News Today - February 13, 2022
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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.
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Knowledge Graphs Push the Boundaries of Data Science
By IT for CEOs & CFOs - January 18, 2022
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Jim Webber with Dr. Edgar Osuna: Using Graphs to Take Down Fraudsters
By Angela Zimmerman
January 13, 2022 14 mins read
Dr. Jim Webber and Dr. Edgar Osuna discuss how graph technology is used at TODO1 to identify bad actors in real-time financial crimes.
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Advanced data science, machine learning and the power of knowledge graphs: What can we expect from this combination?
By IDG Connect - January 12, 2022
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The 5-Z of 2022 Predictions: D-I
By TechTrade Asia - January 11, 2022
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The insideBIGDATA IMPACT 50 List for Q1 2022
By insideBIGDATA - January 10, 2022
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