Developer Blog

AI / Deep Learning | Data Science |

Fraud Detection – Top Resources from GTC 21

AI can help banking firms better detect and prevent payment fraud and improve processes for anti-money laundering (AML) and know-your-customer (KYC) systems. With NVIDIA GPU-accelerated machine learning and deep learning platforms, data scientists can deliver results in days, instead of the weeks more traditional methods require. Learn how companies like PayPal and Datatonic are preventing fraud. 

The developer resources listed below are exclusively available to NVIDIA Developer Program members. Join today for free in order to get access to the tools and training necessary to build on NVIDIA’s technology platform here

 

On-Demand

How to Accelerate Large-Scale Inference for a Real-World Fraud Detection System Using the Latest NVIDIA GPUs on Google Cloud Platform

Speakers: Samantha Guerriero, Senior Machine Learning Engineer and Sepanda Pouryahya, Chief Scientist

Dive deep into the data science behind a successful fraud detection solution with both traditional and deep learning approaches. Get the latest insights on designing real-time machine learning systems on Google Cloud Platform following MLOps best practices.

Auto-Tagging and Temporal Refresh Using Reinforcement Learning-Based Meta-Learning Frameworks for Real-Time Fraud Detection

Speaker: Nitin Sharma, Distinguished Scientist, AI Research Group

Detecting fraud poses multiple challenges on account of systemic changes in fraud snapshots, but also due to temporal changes stemming from incremental product releases, feature creep, and variations in starkly heterogeneous traffic from buyers and sellers transacting over global ecommerce. Such context poses challenges associated with temporal stability of machine learning frameworks in the context of an ever-evolving ecosystem, making a strong case for periodic model retraining.

 

Blog

Detecting Financial Fraud Using GANs at Swedbank with Hopsworks and NVIDIA GPUs
Discover how Swedbank trains advanced deep learning models such as generative adversarial neural networks (GANs) using NVIDIA GPUs and Logical Clock’s Hopsworks as part of its fraud and anti-money laundering (AML) strategy.

SDK

High-Performance Data Science
Run entire data science workflows with high-speed GPU compute and parallelize data loading, data manipulation, and machine learning for 50X faster end-to-end data science pipelines.

Deep Learning Inference Platform
NVIDIA’s inference platform delivers the performance, efficiency, and responsiveness critical to powering the next generation of AI products and services—in the cloud, in the data center, at the network’s edge, and more.

Click here to view all of the Financial Services sessions and demos on NVIDIA On-Demand.