Fraud Detection

Oct 28, 2024

Supercharging Fraud Detection in Financial Services with Graph Neural Networks

Fraud in financial services is a massive problem. According to NASDAQ, in 2023, banks faced $442 billion in projected losses from payments, checks, and credit...
9 MIN READ
Sep 18, 2024

Event: Developer Day for Financial Services

Join this virtual developer day to learn how AI and Machine Learning can revolutionize fraud detection and financial crime prevention.
1 MIN READ
Nov 15, 2023

Best Practices for Securing LLM-Enabled Applications

Large language models (LLMs) provide a wide range of powerful enhancements to nearly any application that processes text. And yet they also introduce new risks,...
11 MIN READ
Artistic rendition of a symbolic graph.
Nov 09, 2023

Accelerating Neurosymbolic AI with RAPIDS and Prometheux Vadalog Parallel

As the scale of available data continues to grow, so does the need for scalable and intelligent data processing systems to swiftly harness useful knowledge....
11 MIN READ
Sep 11, 2023

Accelerating Vector Search: Using GPU-Powered Indexes with NVIDIA cuVS

In the current AI landscape, vector search is one of the hottest topics due to its applications in large language models (LLM) and generative AI. Semantic...
11 MIN READ
Aug 31, 2023

Introduction to Graph Neural Networks with NVIDIA cuGraph-DGL

Graph neural networks (GNNs) have emerged as a powerful tool for a variety of machine learning tasks on graph-structured data. These tasks range from node...
7 MIN READ
Decorative image.
Jul 11, 2023

Accelerated Data Analytics: Machine Learning with GPU-Accelerated Pandas and Scikit-learn

If you are looking to take your machine learning (ML) projects to new levels of speed and scalability, GPU-accelerated data analytics can help you deliver...
14 MIN READ
Illustration of a character sitting at a computer with a warning popup.
Jun 01, 2023

Webinar: Accelerate AI Model Inference at Scale for Financial Services

Learn how AI is transforming financial services across use cases such as fraud detection, risk prediction models, contact centers, and more.
1 MIN READ
Image of an AI model, data, and an application locked, with an NVIDIA H100 GPU underneath.
May 31, 2023

Protecting Sensitive Data and AI Models with Confidential Computing

Rapid digital transformation has led to an explosion of sensitive data being generated across the enterprise. That data has to be stored and processed in data...
10 MIN READ
Oct 04, 2022

Optimizing Fraud Detection in Financial Services with Graph Neural Networks and NVIDIA GPUs

Fraud is a major problem for many financial services firms, costing billions of dollars each year, according to a recent Federal Trade Commission report....
22 MIN READ
Aug 16, 2022

Using Federated Learning to Bridge Data Silos in Financial Services

Unlocking the full potential of artificial intelligence (AI) in financial services is often hindered by the inability to ensure data privacy during machine...
8 MIN READ
Jun 29, 2022

Improving Enterprise IT Fraud Prevention

Any business or industry, from retail and healthcare to financial services, is subject to fraud. The cost of fraud can be staggering. Every $1 of fraud loss...
7 MIN READ
Apr 14, 2022

Scaling AI for Financial Services with Full-Stack Solutions to Implementation Challenges

AI adoption has grown rapidly over the past few years due to its ability to automate repetitive tasks and increase revenue opportunities. Yet many companies...
6 MIN READ
Mar 23, 2022

Supercharging AI-Accelerated Cybersecurity Threat Detection

Cybercrime worldwide is costing as much as the gross domestic product of countries like Mexico or Spain, hitting more than $1 trillion annually. And global...
6 MIN READ