Azure Time Series Insights Gen2 is now GA.

In this video, learn how customers can create an Industrial IoT analytics platform using Azure Time Series Insights (TSI)

Learn more at Time Series Insights Gen2 is now GA. In this episode we look at how customers can create an Industrial IoT analytics platform using Azure Time Series Insights (TSI)

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Edge computing in the context of IIoT brings compute closer to the origin of data.

Without the edge computing layer, the data acquired from assets and sensors connected to the machines and devices will be sent to a remote data center or the public/private cloud.

This may result in increased latency, poor data locality, and increased bandwidth costs.

Here’s an interesting article on edge computing.

Edge computing is an intermediary between the devices and the cloud or data center. It applies business logic to the data ingested by devices while providing analytics in real-time. It acts as a conduit between the origin of the data and the cloud, which dramatically reduces the latency that may occur due to the roundtrip to the cloud. Since the edge can process and filter the data that needs to be sent to the cloud, it also reduces the bandwidth cost. Finally, edge computing will help organizations with data locality and sovereignty through local processing and storage.

Andon is a methodology originally designed by Toyota in the 80’s to allow responding faster and more efficiently to issues on manufacturing lines.

Skoda is modernizing the methodology to allow operators to respond more quickly to production problems, as well as automatically notify supervisors, leveraging Azure IoT Hub and Office 365.

Stepan Bechynsky joins us on the IoT Show to show how the solution implemented at Skoda works using the “hello world” of IoT demos: a simple button that operators can press to signal problems on a piece of equipment and that integrates into business applications such as Microsoft Teams.

You can learn more about Andon at

Industrial robots have been around for decades. What will happen when they are connected to AI? What will the job market look like and how will entire industries change?

If we were to ask where the combination of robotics and AI can provide industrial transformation, the immediate view in many people’s minds is the direct replacement of human workers, for example in picking strawberries. This is only a part of the picture, significant gains are also enabled by replacing or upgrading existing machines (see our welding example above), by augmenting human capabilities (such as by presetting no-go zones in robotic surgery) and by opening completely new options that previously were not possible (for example micro surgery robots may need to make their own decisions due to difficulty in communicating with them inside the body).

Anita Ganti and Calvin Smith from Wipro, one of our IoT Elite partners, joined the IoT Show to share how they became early adopters of the Azure IoT platform and tools to offer solutions in Industrial manufacturing, Aerospace, Defense, Farming, Healthcare, and more.