How Two Forbes Top 20 Businesses Transformed Their Core Rules Engines
In today's rapidly evolving business landscape, agility and efficiency are crucial for staying competitive. To achieve this, businesses rely on rules engines to automate decision-making processes efficiently and consistently. However,…
Supercharging Fraud Detection: How a Leading Financial Institution Utilizes TigerGraph for Real-Time Entity Resolution
In today's fast-paced financial landscape, real-time fraud detection has become essential for safeguarding customer assets and preserving trust in financial institutions. One leading investment bank recently embraced an innovative solution…
Graphs for Good: Transforming Refugee Support with UAWelcome’s Revolutionary Project
In a world where technology continually evolves, one innovative project stands out as a beacon of hope—UAWelcome. Harnessing the power of graphs for good, UAWelcome is revolutionizing the way refugees…
Understanding Bank Fraud ~ by Harry Powell
Bank fraud is a serious concern that affects financial institutions and their customers worldwide. Large organized criminal groups are often the primary perpetrators of fraud, and understanding their tactics is…
How Is Graph Database Used to Combat Money Laundering? ~ by Mingxi Wu, CEO, TigerGraph
Figure 1: AML generic workflow. Financial accounts are linked to many transactions. Alert entities are suspicious accounts that are presented to fraud analysts, who can further put alert entities into…
TigerGraph Puts State-of-the-Art Graph Neural Networks within Reach
In a relatively short time, machine learning has completely transformed almost every facet of technology in the business world and in our day-to-day lives. From driving directions to automated stock…
