Graph Gurus 45: Smarter AI with Analytical Graph Databases - Best Practices and Case Studies
Recorded January 6, 2021
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
Victor Lee, Head of Product Strategy and Developer Relations, TigerGraph