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Episode 86

The IoT platform is generally thought of as networking tech – middleware to connect all the IoT components together – and often it is, but a certain class of platforms, the so-called, application enablement platforms, or AEPs, also provide the development and execution environment for the digital twin.
Listen to this podcast (or read the transcript), the third in a series on the digital twin, where I speak with Jason Schern and Jeff Miller about the dt and its relationship to the AEP ...




Episode 85

The reason the digital twin, or software-defined product, as I prefer to call it, is the most important IoT tech, is because it’s the basis for the unique functionality possible from using the Internet of Things. Going beyond smarts or connectivity, it is this unique functionality that creates value, enough value that results in a profitable IoT product.
Listen to this podcast (or read the transcript), the second in a series on the digital twin, where I speak with Arnulf Hagen about the underlying models of the digital twin, and the high-level ways you can use them to create value ...




Episode 84

The digital twin, or software-defined product as I prefer to call it, is the most important tech in IoT, yet you hardly hear anything about it, when compared to other IoT tech such as sensing, networking and analytics. Maybe it’s because it’s such a new and abstract concept for most people. Well, that’s about to change.
Listen to this podcast (or read the transcript) with Dimitri Volkmann about producing the digital twin for the Industrial Internet of Things ...




Episode 79

There are two types of manufacturing: discrete manufacturing where the output is physical, countable things, and process manufacturing, where the output is chemistry – think oil & gas. Process manufacturing has been consistently instrumented for over two decades so it is not surprising that they’re a little ahead of their discrete counterparts on their path to IoT.
Listen to this podcast (or read the transcript) with Peter Zornio about IoT analytics in process manufacturing, and his advice is applicable to all industries ...