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“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… Read more →
Read this 5-minute interview with Clayton Ching of Digitate to learn about AI and graph databases.
 

Graph Algorithms in Neo4j: Connected Data & Graph Analysis

Until recently, adopting graph analytics required significant expertise and determination, since tools and integrations were difficult and few knew how to apply graph algorithms to their quandaries and business challenges. It is our goal to help change this. We are writing this blog series to help organizations better leverage graph analytics so they make new discoveries and develop... Read more →

Learn about graph algorithms in Neo4j along with connected data and graph analysis

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This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we work out the best tennis player in the world using weighted PageRank, we learn how to do backups on Kubernetes, and how to model financial risks. We also have a great story about using Neo4j to store the storylines of an interactive Theatre... Read more →

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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate

"I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think," said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems and connections and dependencies between those systems. Overlay the business context of those systems and you’ve got an ideal fit for graph technology. In this... Read more →

Read this 5-minute interview with Clayton Ching of Digitate to learn about AI and graph databases.

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Graph Databases for Beginners: Graph Search Algorithm Basics

When Muhammad ibn Musa al-Khwarizmi wasn't busy shelving books, collecting overdue fines and shushing children (we can only presume) in the library at the House of Wisdom, he was also keeping up a few other side projects: inventing algebra, popularizing the Hindu-Arabic numeral system in the West, helping Islamic astronomy turn a new corner and putting Ptolemy to shame with an updated list of the... Read more →

Learn about popular graph search algorithms like Dijkstra's algorithm and the A-star algorithm

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Knowledge Graph Search with Elasticsearch and Neo4j

Editor’s Note: This presentation was given by Luanne Misquitta and Alessandro Negro at GraphConnect New York in October 2017. Presentation Summary Knowledge graphs are key to delivering relevant search results to users, meeting the four criteria for relevance, which include the query, the context, the user, and the business goal. Luanne Misquitta and Alessandro Negro describe the rise of... Read more →

Check out GraphAware's knowledge graph infrastructure using Neo4j and Elasticsearch.

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Effective Internal Risk Models for FRTB Compliance: Risk Management with Neo4j [Infographic]

In this series on the FRTB, we delved into what is required for effective internal risk models using a graph database like Neo4j. In previous weeks, we looked at the requirements of FRTB compliance and the relationship between risk modeling and data lineage. Last week, we explained why modern graph technology is an effective foundation for compliance applications. To bring it all home, we... Read more →

Learn about FRTB risk management with Neo4j.

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