Graph + AI World - Fraud Detection and Compliance Session

Graph + AI World:

Fraud Detection and Compliance with Graph Learning

Graph + AI World Session - Recorded September 2020

This session will cover how unification of disparate data through Graph and AI increases fraud detection and how Graph learning helps fraud experts beyond fraud detection and assists in investigation, SIU operations and compliance. We will also look at how Community Detection Algorithms help identify fraud syndicates and how Graph and AI combine Domain, Data and Algorithms to get the best results.

About TigerGraph

TigerGraph is the only scalable graph database for the enterprise. Based on the industry’s first Native and Parallel Graph technology, TigerGraph unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. TigerGraph fulfills the true promise and benefits of the graph platform by tackling the toughest data challenges in real time, no matter how large or complex the dataset. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI and machine learning to make sense of ever-changing big data, and is used by customers including Amgen, China Mobile, Intuit, Wish and Zillow, along with some of the world’s largest healthcare, entertainment and financial institutions.

Graph + AI World:

Fraud Detection and Compliance with Graph Learning

Graph + AI World Session - Recorded September 2020

Watch the Session

“TigerGraph is highly configurable ands can fit your specific use case. Whether you’re trying to get super fast query times or run heavy graph processing algorithms, setting the right configuration on your cluster will make all the difference.”

Xandr

About TigerGraph