Virtual Academy - Using Graph Embeddings and Hardware Acceleration to Fight Financial Fraud and Improve Healthcare Recommendation
Victor Lee, VP of Machine Learning and AI, TigerGraph; Bill Shi, Sr ML Solution Architect, TigerGraph; Parker Erickson, Data Science/ML Intern, TIgerGraph
Innovative companies are using graph embeddings, a new ML technique, to increase the quality, automation, and scalability of their ML applications. This session introduces TigerGraph's graph embedding algorithms and demonstrates two use cases; detecting cryptocurrency fraud and finding similar healthcare providers. We also highlight the acceleration offered by HPE’s Reference Architecture for Accelerated Graph Analytics using Xilinx Alveo cards.
Speakers:
- Victor Lee, VP of Machine Learning and AI, TigerGraph
- Bill Shi, Sr ML Solution Architect, TigerGraph
- Parker Erickson, Data Science/ML Intern, TigerGraph
