Graph data science uses connected data analysis techniques like pretuned graph algorithms and graph-native machine learning to explore the relationships in data to power recommendation engines, anomaly and fraud detection, route optimization, customer 360, and more.
In this supercharged webinar, you’ll hear from graph data science experts and customers as they show you how to improve your models and make better predictions by analyzing the relationships in your data. Our speakers will show you how you can use Neo4j Graph Data Science to find hidden insights in your data and accelerate your path from proof of concept to production.
Join us for this two-hour event where you’ll learn:
- When and where to apply graph data science
- Why DXC uses graph data science to power training recommendations
- How graph data science can turbocharge your knowledge graph
- How Neo4j Graph Data Science makes it easy for data scientists to improve predictions and ML models at scale
Sed ac purus sit amet nisl tincidunt tincidunt vel at dolor. In ullamcorper nisi risus, quis fringilla nibh mattis ac. Mauris interdum interdum eros, eget tempus lectus aliquet at. Suspendisse convallis suscipit odio, ut varius enim lacinia in. Lorem ipsum dolor sit amet, consectetur adipiscing elit.