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Introduction

ON DEMAND WEBINAR

Innovative retailers and disruptive startups are using AI to streamline logistics and store operations, prevent shrinkage and deliver better shopping experiences both in stores and online. Deep learning and machine learning algorithms can help cut operational expenses, increase revenue and improve decision making. We’ll cover use cases in asset protection, store analytics, autonomous shopping, demand forecasting and warehouse optimization. Learn how NVIDIA’s retail software platform can help your data science team quickly build AI applications and your IT team easily manage and update software on thousands of distributed edge devices.

Join this webinar to explore some of the top AI use cases in retail, presented by NVIDIA’s General Manager for Retail.

In this webinar you will learn:
  • Point-of-sale asset protection applications that detect shrinkage with up to 99% accuracy
  • Bringing AI intelligence to your stores to understand customer behaviors
  • Improving demand forecasting accuracy on millions of items-per-store
  • Increasing customer and employee safety through social distancing

WEBINAR REGISTRATION

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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.

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Speaker

Azita Martin


General Manager, Artificial Intelligence for Retail

Azita leads the NVIDIA retail team at NVIDIA. She is responsible for global go-to-market strategy for the vertical. She advises senior executives on best practices of leveraging AI to improve operational efficiencies and identify new revenue streams. Prior to NVIDIA, Azita was the Chief Marketing Officer at Maana, an AI software platform used by industrial companies to accelerate building AI applications. Azita has been working with the Chief Digital Officers and heads of analytics/AI of F500 industrial companies and is intimately familiar with the top AI use cases that are demonstrating business value.

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Date & Time: Wednesday, April 22, 2018