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Posted almost 5 years ago by Jocelyn Hoppa
Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.
Posted almost 5 years ago by Mark Needham
This week Anurag Tandon has started a series of videos on Neo4j Bloom, the graph visualisation too, and Adam Cowley shows us how to text analytics with Neo4j and Cypher. We also learn about the technology behind the upcoming Neo4j… Read more →
Posted almost 5 years ago by Mark Needham
This week Anurag Tandon has started a series of videos on Neo4j Bloom, the graph visualisation too, and Adam Cowley shows us how to text analytics with Neo4j and Cypher. We also learn about the technology behind the upcoming Neo4j… Read more →
Posted almost 5 years ago by Allison Wu
Check out this week's #GraphCast, featuring Ryan Boyd in his video series, Intro to Graph Databases, and learn how to become a graphista in no time!
Posted almost 5 years ago by Allison Wu
Check out this webinar with Teemu Nykänen from Elisa on how Neo4j aids with the richness, accuracy and credibility of network inventory and topology.
Posted almost 5 years ago by Jocelyn Hoppa
Editor’s Note: This presentation was given by Rob Schley, Dr. Alessandro Negro and Christophe Willemsen at GraphConnect New York City in September 2018 Presentation Summary Following a brief philosophical background by Rob Schley, we dive into Hume’s core by exploring… Read more →
Posted almost 5 years ago by Jocelyn Hoppa
Editor’s Note: This presentation was given by Rob Schley, Dr. Alessandro Negro and Christophe Willemsen at GraphConnect New York City in September 2018 Presentation Summary Following a brief philosophical background by Rob Schley, we dive into Hume’s core by exploring… Read more →
Posted almost 5 years ago by Jocelyn Hoppa
Explore how Hume leverages natural language understanding, graph analytics and AI capabilities to connect data and share knowledge.
Posted almost 5 years ago by Jocelyn Hoppa
Read the first installment of this four-part series on how graphs provide the context artificial intellingence needs to remain reliable and trustworthy.
Posted almost 5 years ago by Mark Needham
This week Stefan Bieliauskas shows us how to model provenance data in Neo4j, and Lju Lazarevic takes us through some techniques for de-duplicating ingredients in the BBC Good Food Graph. We also have a new GRANDstack starter template and an… Read more →