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