Graph + AI World:                   

Hardware Accelerated Machine Learning Solution for Detecting Fraud and Money Laundering Rings

Graph + AI World Session - Recorded September 2020
Combine Field Programmable Gate Array (FPGA) with graph database and analytics to accelerate Louvain community detection algorithm and find fraud and money laundering rings faster.

Watch the Session


With FPGA you have enough parallelism, up to 10 million patients on 1 card, you can process in parallel

Kumar Deepak, Xilinx

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. 


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