Discover Use Cases for Manufacturing at the Edge Enabled by Microsoft and Intel



Placing Intel compute at the edge is enabling new services based on computer vision and artificial intelligence (AI) to run on Azure. At Microsoft Ignite, Intel’s Phil Van De Mortel and Microsoft Azure’s David Armour explored what this exciting co-innovation means for your manufacturing customers.

In this article, there are two video segments. Select the segment you’d like to watch based on the readiness of the customer you’re talking to, and how developed their use case is. The videos can be shared directly with your customers, to help them better visualize what a proof of concept (PoC) could look like. We’ve also included links to relevant reading from Microsoft and Intel to help your customers plan their next steps.

If you have a customer working on a PoC that wants to learn more about how Intel® technologies can provide a consistent, reliable experience running AI at the edge, contact the Intel account team.

Part 1: What challenges are your manufacturing customers facing today?

Key Takeaways:

  • Co-innovation from Microsoft and Intel delivers new use cases for edge computing, both in hybrid cloud and on-premises.
  • Customers are challenged to launch a PoC in a day, manage complex security considerations and effectively measure the value of data.

Share This Video with Your Customers If:

  • They are getting started with edge computing, want to understand more about the market and the challenges other manufacturers are experiencing.

Further Reading:

  • Blog detailing how Microsoft and Intel are supporting an ecosystem of IoT partners to help customers improve their businesses, increase operational efficiency and generate revenue streams.

Part 2: Live demo: How your customers can build a proof of concept (PoC) in a day

Key Takeaways:

  • It’s possible to build a PoC your customers can show stakeholders in a day–or even less.
  • Customers can run an Azure Stack Edge device on their local network, giving them greater flexibility.
  • By uploading a set of images into their repository, customers can begin labeling images and test the accuracy of their computer vision PoC.
  • With Microsoft Custom Vision running in the Azure cloud, customers can generate a machine learning model, which is then packaged and returned to Azure Stack Edge.

Share This Video with Your Customers If:

  • Challenges have been identified and could be solved using computer vision and AI, and are ready to begin spinning up a PoC.
  • The goal is to get buy-in from management stakeholders for a new IoT-based use case and show initial results quickly.

Further Reading:

  • In this video, learn how an optical technology company identified new ways to innovate in the operating room. It used computer vision and AI with Azure Stack Edge (previously known as Azure Data Box Edge) and Intel® Arria® 10 FPGAs.

Next Steps

Once your customer has an AI PoC up and running, Microsoft’s Custom Vision tool allows them to upload, train and evaluate their data. What’s more, with the Intel® Distribution of OpenVINO™ toolkit and Intel® DevCloud, customers can deploy AI inference across the full edge-to-cloud workflow.

This manufacturing use case demonstrates how Intel and Microsoft together are democratizing AI by making it easy for customers to get up and running within a day. It also shows how getting started with AI can help with broader digital transformation initiatives. If you have a customer or use case you’d like to discuss in more detail, contact your Intel account team today.