cloudmelon / mcw-intelligent-vending-machines

MCW Intelligent vending machines

Intelligent vending machines

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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

Azure solution

Intelligent Apps

Related references

MCW