Neo4j Graph Data Science is a software platform helping data scientists uncover the connections in big data to answer business critical questions and improve predictions.
Businesses use graph data science insights to pinpoint interactions that indicate fraud, identify similar entities or individuals, improve customer satisfaction through better recommendations, and optimize supply chains.
Neo4j Graph Data Science makes it easier to unlock answers because it puts relationships first, instead of keeping them hidden within rows and columns. Data scientists can analyze these relationships in a flexible workspace using a library of over 65+ pre-tuned algorithms, connected data techniques, and in-graph machine learning (ML) models. Its scalable infrastructure works with existing data science tools and workflows, so you can easily move from proof of concept to production.
The dedicated workspace integrates ingestion, analysis, and management to easily improve models without rebuilding their workflow. ML Ops allows data scientists to focus on extracting insights, training ML models, and deploying projects across production areas.