Today's analytical graph databases are taking organizations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real-time.
These benefits extend to the world of machine learning and AI. This talk will illustrate several ways in which graph databases and graph analytics can deliver smarter AI:
- Unsupervised learning with graph algorithms
- Feature extraction and enrichment with graph patterns
- In-database ML techniques for graphs
Join us as we share client case studies from 7 out of the top 10 banks in the world, China Mobile, Xandr (part of AT&T), UnitedHealth Group, Jaguar Land Rover and Intuit Corporation. We will cover use cases including entity resolution, customer 360, recommendations, and real-time fraud detection.
