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mcw-intelligent-vending-machines's Introduction

Intelligent vending machines

This workshop is archived and is no longer being maintained. Content is read-only.

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Trey Research Inc. looks at the old way of doing things in retail and introduces innovative experiences that delight customers and drive sales. Their latest initiative focuses on intelligent vending machines that support commerce, engagement analytics, and intelligent promotions.

Target audience

  • Application developer
  • AI Developer

Abstract

Workshop

In this workshop, you will explore an IoT solution for intelligent vending machines, leveraging facial feature recognition and Azure machine learning, to gain a better understanding of building cloud-based machine learning apps and real-time analytics with SQL Database in-memory and columnar indexing.

At the end of this workshop, you will be better able to design IoT solutions leveraging cloud-based machine learning services and real-time analytics.

Whiteboard design session

In this whiteboard design session, you will work with a group to design an IoT solution for intelligent vending machines, leveraging facial feature recognition and Azure machine learning, to gain a better understanding of building cloud-based machine learning apps and real-time analytics with SQL Database in-memory and columnar indexing.

At the end of this whiteboard design session, you will be better able to architect IoT solutions leveraging cloud-based machine learning services and real-time analytics.

Hands-on lab

In this hands-on lab, you will implement an IoT solution for intelligent vending machines, leveraging facial feature recognition and Azure machine learning, to gain a better understanding of building cloud-based machine learning apps and real-time analytics with SQL Database in-memory and columnar indexing.

At the end of this hands-on lab, you will be better able to build IoT solutions leveraging cloud-based machine learning services and real-time analytics.

Azure services and related products

  • Azure App Services
  • Azure Blob Storage
  • Azure SQL Database
  • Cognitive Services Face API
  • Data Lake Store
  • IoT Hub
  • Microsoft Machine Learning Server
  • Power BI Desktop
  • R Server cluster on HDInsight
  • R Tools for Visual Studio 2017
  • Visual Studio 2017

Related references

Microsoft Cloud Workshop

mcw-intelligent-vending-machines's People

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mcw-intelligent-vending-machines's Issues

Document headers/title section

Please update document title pages to match templates (remove Updated xxx further down if you added it there please).

[Insert workshop name here]
Whiteboard design session trainer guide
[Insert date here Month Year]

Folder names

Please remove dashes in folder and document names

WDS - trainer guide

Preferred solution - Intelligent promotions
Student guide asks 6 questions, trainer guide answers 5

Before the HOL document

Please add header, titles & TOC from template.
Document needs to be renamed to remove dashes (check for links that may change)

FYI - MS Style guide says bulleted and/or numbered instructions to not have a period at the end unless they are multiple sentences. We're leaving in questions marks and colons. I've corrected them in this document but you might want to look through for future reference. Thanks! DD

Microsoft.Data.OData Alert

December test/fix resulted in 2 potential security vulnerabilities.

Microsoft.Data.OData vulnerability found in โ€ฆ/Simulator/packages.config on Oct 16, 2018
Remediation
Upgrade Microsoft.Data.OData to version 5.8.4 or later. For example:

Discussion with author reveled risk is acceptable at this time since the lab is not a production application, creating issue so this can be updated at next scheduled review.

WDS - trainer presentation - corrections needed

1-Correct naming convention please: WDS trainer presentation - Intelligent vending machines

2-Abstract on the PPT is the workshop abstract, not the WDS abstract on the ReadMe page.

3-Alt-text is written twice for each image?
Picture of question mark

Picture of a question mark icon.

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