A Guide to Combating Financial Crimes With Graph Databases and Analytics
By Heather Adams, Managing Director, Accenture originally featured in our Spring 2021 Graph + AI Summit. Watch here. Detecting financial crime is not just a legal or compliance exercise; it's…
Intuit Combines Graph and AI to Boost Fraud Detection by 50%
A Look at How the Financial Software Leader Overcame Key Challenges to Realize the True Benefits of Graph by Uri Lapidot, Senior Product Manager. Graph-based technologies are key to highlighting…
Building a Custom Fraud Detection Dashboard
Creating a full web-app using Plotly Dash and TigerGraph Introduction In this blog, you’ll see some of the steps necessary to create a full fraud-detection web app connected to a…
How the World’s Largest Banks Use Advanced Graph Analytics to Fight Fraud
Originally featured on RTInsights.com Advanced graph analytics provides deeper insights, complementing BI, and helps organizations preempt and prevent potential fraud while protecting customers. Financial services organizations are both powerful and…
Machine Learning and Deep Link Graph Analytics: A Powerful Combination
Originally Posted on KDNuggets. Machine learning (ML) – an aspect of artificial intelligence (AI) that allows software to accurately identify patterns and predict outcomes – has become a hot industry…
Anti-Money Laundering (AML) Non-Compliance is Injurious to Your Business’ Health
On June 3 2018, the Commonwealth Bank of Australia was fined $700 million for AML non-compliance. Some of the problem areas at the bank included: Failure to properly monitor transactions for…
Finding Needles in a Haystack with Graph Databases and Machine Learning
You know a technology has reached a tipping point when your kids ask about it. This happened recently when my eighth grade daughter asked, “What is Machine Learning and why…
