With the latest releases of Neo4j AuraDS Enterprise and Neo4j Graph Data Science 2.2, data scientists and machine learning engineers can make better predictions and move to production faster using their existing data. Neo4j AuraDS Enterprise offers fully managed and hosted Google Cloud instances for effortless scalability, while providing additional enterprise-grade security features such as Single Sign-On and Virtual Private Cloud isolation. The new release also includes larger cloud instances, 24/7 Severity 1 support, and a wider range of algorithms through the Graph Data Science library. Neo4j Graph Data Science 2.2 introduces context-rich machine learning pipelines, graph native deep learning with multilayer perceptrons, faster model training with graph sampling, and integration with other graph libraries like Deep Graph Library and TensorFlow GNN.