Autonomous Machines
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Introduction

Date: Wednesday, December 11, 2019
Time: 11:00am – 12:00pm PST
Duration: 1 Hour

Using the NVIDIA Jetson Nano™ Developer Kit, Microsoft Sr. Cloud Advocate, Paul DeCarlo, will demonstrate how NVIDIA’s DeepStream and Microsoft’s Azure IoT Edge module enable end-to-end AIoT applications.


In this session, Paul will host a demo walkthrough showing a Jetson Nano detecting objects on video, streaming from multiple sensors while simultaneously sending messages to Azure IoT Central to generate actionable insights in the cloud.


The Jetson platform is useful in a wide range of AIoT applications across manufacturing, healthcare, smart cities, retail/service robots, and more. It provides real-time analytics at the edge using data from diverse sources, while Azure IoT Central can be used to create data analytics dashboards with offline capabilities, collaborating to create powerful AI solutions.



By attending this webinar, you'll discover:
  • How to create a customizable DeepStream workload that can be monitored and updated in-field using Microsoft Azure services
  • Use cases on how to accelerate insights at the edge
  • How to get started on your DeepStream module

Join us after the presentation for a live Q&A session.

WEBINAR REGISTRATION

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

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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

Paul DeCarlo

Microsoft Cloud Advocate; Professor at Bauer College of Business at the University of Houston

Paul DeCarlo is a Microsoft Cloud Advocate and Professor for the Bauer College of Business at the University of Houston. His current technology interests focus on Internet of Things, Cloud Applications, and GPU Accelerated IoT workloads.

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Date & Time: Wednesday, April 22, 2018