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How Banks in ANZ Use Data-Driven Insights to Optimize DevOp and Cloud Migration

Editor’s Note: This fireside chat with Rijutha Sivaprakas is from GraphSummit 2022. During Neo4j’s inaugural GraphSummit, we had the pleasure of hosting partners and customers to share insights and stories behind their connected data experiences. We will be featuring more of them in this... read more


How the Australian Department of Infrastructure Applies Graph

The Australian Government’s Department of Infrastructure helps the country make informed transportation policy decisions for roads and vehicles by developing transportation and communications legislation and planning new infrastructure development. A key part of this work for David... read more


This Week in Neo4j: Visualization, Akamai, House of the Dragon, Geospatial Data, Clustering, Cypher in Neo4j 5, Testcontainers, and More

If you’re a developer building modern applications, you’ve probably heard of GraphQL. The Neo4j GraphQL Library enables rapid API development for cross-platform and mobile applications by tapping into the power of connected data. Best of all, it’s designed to be highly flexible, low-code,... read more


Connecting Data Across the Enterprise: The 5-Minute Interview With Simone Novali

“Neo4j is a strategic partner and the most complete and powerful graph database we found. So we decided to use Neo4j as our graph database,” says Simone Novali, Enterprise Architect. When the Neo4j team stopped by Milan for an Italian installment of our GraphSummit roadshow, they... read more


Better AI With Neo4j and Azure Machine Learning

In a world of connected data, traditional machine learning techniques do not always tap relationships in and across data. Graphs are the ideal way to represent connected data. Graph data science got better and easier with Neo4j. It helps you unlock the insights trapped in rows and columns.... read more


Digital Twin for the Construction Industry: How Neanex Uses Neo4j

Many hands make light work. But they leave behind many piles of messy data. It gets worse when this data is siloed, never to be seen by many who should. This is what happens when building big, critical assets in the built environment – including high rise buildings, airports, power... read more