Neo4j Graph Data Science is a comprehensive graph analytics and modeling platform that uses graph algorithms and machine learning to identify patterns and behaviors in data, improving models for use across various applications such as recommendation engines, fraud detection, and customer 360 scenarios. The platform is being developed with five key areas of focus: ease of use, enterprise readiness, graph built for data science, ecosystem integration, and cloud, resulting in new features including machine learning pipelines, best-in-class data science algorithms, and a native Python client. Additionally, the platform offers a managed service AuraDS on Google Cloud Platform, making it easy to deploy and access Neo4j Graph Data Science without requiring extensive technical expertise or IT approval.