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Introduction

Financial organizations had the second highest cybersecurity breach costs—averaging almost $6 million last year. As cyber-threats escalate and diversify, financial services firms must look for new ways to address them.

Cybersecurity is a data problem. Collecting and analyzing all of the data across a network in real time is cost-prohibitive and difficult—unless you use accelerated computing and AI.

With NVIDIA Morpheus, organizations can implement AI-based cybersecurity to identify previously undetectable threats and anomalies and to contain breaches faster—on a scale that was previously impossible.

In this webinar, you’ll learn:
  • Why cybersecurity professionals can no longer effectively defend against the most sophisticated threats
  • Key use cases including digital fingerprinting for insider threat detection, phishing detection, sensitive information detection, and fraud detection
  • Examples of success from industry leaders including Best Buy and Deloitte

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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

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.
Killian Sexsmith
AI Software Segment Sales, NVIDIA
Killian Sexsmith is an AI software segment sales lead for NVIDIA’s cybersecurity and accelerated optimization technologies. Previously, he founded the data science and edge teams for the public sector at Red Hat. Killian’s team built KubeFrame and also contributed to putting OpenShift on the International Space Station. He brings a wealth of expertise in the areas of data science, cybersecurity, edge computing, kubernetes, and OpenShift.




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Date & Time: Wednesday, April 22, 2018