The graph data platform explains that its latest offering has new and enhanced capabilities and is now available as a fully managed cloud service called AuraDS. Furthermore, Neo4j Graph Data Science is tailor-made to offer data scientists more accurate predictions through comprehensive graph analysis techniques.
The company adds that this allows users to improve models through a library of graph algorithms, machine learning (ML) pipelines, and data science methods.Noting the increased usage of predictive data architectures resulting from AI and ML adoption, Neo4j says they have been applied across various use cases such as recommended engines, fraud detection, and customer 460 scenarios.
Read more: https://itbrief.com.au/story/neo4j-announces-availability-of-graph-analytics-workspace
Keywords: data scientists • GDS 2.0 • gds technology • Neo4j for Graph Data Science