Luke Gannon, Product Manager, AuraDS, Neo4j
Mar 20
2 mins read
AWS and Neo4j are offering scalable and intelligent tools to help data scientists quickly gain insights from their data. By adding graph algorithms and embeddings to ML pipelines, data scientists can now explore billions of data points in seconds, identify hidden connections, and generate... read more
Luke Gannon, Product Manager, AuraDS, Neo4j
Feb 01
5 mins read
As Neo4j Graph Data Science approaches year three, we're excited to announce Graph Data Science 2.3, which includes new algorithms, a new graph embedding, and other performance and integration improvements that augment the ease and speed you conduct your analytics. Our goal is to continue... read more
Luke Gannon, Product Manager, AuraDS, Neo4j
Oct 18, 2022
3 mins read
It has been an exciting year for data scientists at Neo4j. In April, we launched Neo4j Graph Data Science 2.0 and Neo4j AuraDS Professional, our first self-service, cloud hosted data science offering. Today, I’m excited to share some new additions to our Data Science foundation with the... read more
Luke Gannon, Product Manager, AuraDS, Neo4j
Jun 14, 2022
7 mins read
In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings. That blog post garnered a lot of attention from data scientists looking to amplify their machine... read more