Graph Gurus 51: Fighting Financial Crimes With Graph Analytics: A Deep Dive

Graph Gurus 51 with TigerGraph and Expero

Fighting Financial Crimes With Graph Analytics: A Deep Dive

Recorded May 19, 2021 

A surge in financial crime has increased the focus and scrutiny on the automated identification of fraud patterns and real-time alert identification. Join us as we dive deep into maximizing machine learning processes by incorporating graph topology and algorithms. This webinar will include how to utilize the industry-standard FIBO ontology data model and incorporating 3rd party data like OpenCorporates and OFAC watch lists.

We'll cover the following key topics:

• Review practical uses and methods of key graph algorithms like Louvain, similarity page rank, and many others TigerGraph and ML.
• Detail the connection between graph algorithms and machine learning systems using topology feature extraction, embedding-based GraphML, deep learning, and other methods, to include with your existing platforms.
• Examine high-level system architectures for deploying real-time graph and machine learning systems that detect and prevent financial crimes.

Speakers:

Graham Gannsle, Expero 

Scott Heath, Expero