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Introduction

Date: Wednesday, June 14, 2023
Time: 9:00 - 10:00 a.m. PDT
Duration: 1 hour

AI can help banks and insurance companies better detect and prevent payment fraud, as well as improve processes for anti-money-laundering and know-your-customer systems. Enable greater security, increase transparency, and create a better experience for both firms and customers with AI in payments. AI inference is put to work using workflows for top use cases such as transaction fraud and contact center automation.

NVIDIA Triton Inference Server and the NVIDIA TensorRT SDK, part of NVIDIA AI Enterprise software, can help with easy deployment, running, and scaling of AI models to deliver meaningful outcomes in financial services. Hands-on AI practitioners and business stakeholders in these areas who are looking to accelerate enterprise AI adoption can especially benefit from this webinar.

Attendees will learn:
  • How AI can solve common problems within contact centers and across use cases like fraud detection.
  • What accelerated inference means and how it can benefit modern-day inference pipelines across cloud and on premises.
  • The AI lifecycle benefits of NVIDIA AI Enterprise and how to get started with NVIDIA’s inference solutions.
Check out the NVIDIA Triton and NVIDIA TensorRT pages to learn more.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Shankar Chandrasekaran
Senior Product Marketing Manager, NVIDIA
Shankar is a senior product marketing manager on the data center GPU team at NVIDIA. He is responsible for GPU software infrastructure marketing to help IT and DevOps easily adopt and seamlessly integrate GPUs into their infrastructure. Previously, he held engineering, operations, and marketing positions at both small and large technology companies. He holds business and engineering degrees.
Pahal Patangia
Global Developer Relations Lead for Consumer Finance, NVIDIA
Pahal Patangia leads global developer relations for consumer fintech companies at NVIDIA. He focuses on driving AI adoption within the fintech industry and helps enterprises accelerate their machine learning models at scale. Previously, he spent the majority of his professional career at FICO, where he helped retail banks and financial institutions make smarter credit decisions using machine learning. Pahal holds a master’s degree in business analytics from the University of Minnesota and a bachelor’s degree in electrical engineering from the National Institute of Technology, Trichy, in India.
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Date & Time: Wednesday, April 22, 2018