(Virtual) Global Azure - April 23-25, 2020

LINKS TO JOIN TODAY, April 25, 2020:

This post provides some links to join live online presentations during Virtual Global Azure, April 23-25, 2020.

Please find out all information about the event at https://virtual.globalazure.net/

The exact links to join the talks listed below will be added closer to the event.

I (Andreas Erben) will be presenting the following sessions:


Developing with Kinect for Azure - Understanding the human body

2020-04-24 13:00 EDT and 2020-04-24 21:00 EDT

2020-04-24 13:00 EDT:https://bit.ly/3ax4HJN

2020-04-24 21:00 EDT: https://bit.ly/2Y8wZYR

Description

Kinect for Azure is the latest iteration of the widely successful Kinect depth sensor that enables understanding human beings. Kinect is all grown up with a modern powerful set of APIs allowing development on multiple operating system platforms.

This session will introduce the developer experience and how to develop for Kinect for Azure, from working with the sensor streams of the device, to accessing skeletal tracking of human bodies.

Attendees will learn about scenarios they can implement with skeletal tracking. Through specific examples developers and decision makers will understand how to leverage the technology in real applications.

Session format Session

Level Introductory and overview

Track AI & Machine Learning

Language English

Day April 24th

Time Zone EDT Eastern Daylight Time (North America) UTC?04

Time 13:00 and 21:00 

2020-04-24 13:00 EDT:


2020-04-24 21:00 EDT:



Did you know Cognitive Services could do this? A Computer Vision quest

2020-04-25 13:00 EDT AND at 2020-04-25 21:00 EDT

Description

Microsoft Azure Cognitive Services offer a rich set of features to analyze arbitrary images, detect brand logos, train custom models, index videos, transcribe text in images, and much more.

In this session, attendees will see how to combine and use some capabilities of Microsoft Azure Cognitive Services in useful, and possibly unexpected ways.

With the power of the Intelligent Cloud, Computer Vision will extract information from a set of images, this information then can be used to automatically generate a specialized Custom Vision model that finally can be used on the intelligent edge devices to annotate the real world in real time.

Hands-on demos provide actionable starting points for both developers and decision makers to incorporate democratized deep learning in their own applications. The shown code samples will enable developers to start building right away.

Session format Session

Level Intermediate

Track AI & Machine Learning

Language English

Day April 25th

Time Zone EDT Eastern Daylight Time (North America) UTC?04

Time 13:00 and 21:00 


2020-04-25 21:00 EDT:


2020-04-25 21:00 EDT:


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