Neo4j Blog

Last week, Neo4j CEO Emil Eifrem published the blog, "Towards AI Standards, Why Context Is Critical for Artificial Intelligence" that spoke about our recent response to the request for information from the U.S. The National Institute of Standards and Technology (NIST). The NIST is looking to... read more

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 ObservableHQ notebook showing how to use the... read more

"The use cases for graph databases are far more numerous than people imagined early on," said Pascal Desmarets, founder and CEO of Hackolade. NoSQL databases are schemaless, so data modeling isn’t necessary – at least in theory. In practice, Hackolade saw a niche in the market to provide a... read more

At Neo4j, we believe that graphs are everywhere. For more videos like this one, check out upcoming and on-demand video content in the Neo4j Webinar library. In this session, we take a look at graph database technology within manufacturing in general, and more specifically in the... read more

Editor’s Note: This presentation was given by Fan Li at GraphConnect New York in October 2017. Presentation Summary Fan Li is a Principal Data Scientist at DuPont. Dupont began as a science company with a mission to deliver sustainable and innovative solutions to some of the world’s... read more

This post originally appeared on the Emil Eifrem blog on 24 June 2019. Just last month, we had a great opportunity to be part of a larger conversation around AI standards. In particular, we responded to a request for information (RFI) from the United States National Institute of Standards and... read more