Most data science approaches in use today rely on data stored in tables, neglecting a vital source of predictive information – data relationships.
Neo4j Graph Data Science is a powerful platform, purpose-built to extract meaning from data relationships to answer business-critical questions. Join us for a 45-minute webinar to learn about our latest release, now available fully managed, first on Google Cloud Platform.
In our April release, we continue to create a best-in-class experience for our users, making graph data science simpler than ever before, with features like:
- Native Python Client to integrate into your existing workflows
- New AutoML Capabilities for graph-native machine learning
- Enterprise Robustness with graph backup and restore, plus cluster compatibility
- Ecosystem Integration via connectors for Spark, Dataiku, Knime, and others
- Data Science as a Service to give you the power of Graph Data Science with none of the hassle
Neo4j experts Dr. Alicia Frame and Luke Gannon will be joined by Henry Tappen from Google Cloud, showing you how to improve your predictive capabilities through these new capabilities to deliver real business value.
Alicia Frame is Neo4j’s product lead for everything Graph Data Science - working closely with engineering to build a world class platform for connected data science, collaborating with customers and practitioners to understand how graphs can be put to practical use, and educating the data science community on the power of connections.
She holds a PhD from the University of North Carolina, and previously led data science initiatives at the US Department of Agriculture, US Environmental Protection Agency, and Dow Agrosciences.
Luke Gannon leads AuraDS, our fully managed graph data science offering. Before AuraDS, he worked on Product for AuraDB Enterprise and Self Serve, and was part of our sales engineering organization where he put our tools into production for customers from big banks to retailers.
Prior to that, Luke worked as a consultant with CapGemini.