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Episode 74

Let’s face it, deploying IoT within a company, especially a large one, is an exercise in change management. To be successful on this multi-year journey takes a lot of planning, getting your priorities straight, some politicking and a bit of luck. There’s no need to reinvent the wheel, learn from your peers.
Listen to this podcast (or read the transcript) with Maciej Kranz who shares his experience in what works and what fails miserably ...




Episode 73

It seems like predictive analytics gets all the attention these days but generally speaking, it requires either a Data Scientist or a machine learning algorithm operating on lots of event data, in order to predict the all-important dimension of time, at least to any degree of useful certainty. Enter prognostic analytics. In a closed system of uniform conditions, prognostic analytics can make better predictions about the “when”.
Listen to this podcast (or read the transcript) with Moritz von Plate about how the characteristics of this older-school stats make it very well suited for predictive maintenance in Industrial IoT ...


Yeah, data analytics can be complicated, but its application doesn’t need to be. Take discrete manufacturing for example. There’s lots of hype around more advanced analytic applications like predictive maintenance but that’s running before you even know how to walk. I know it doesn’t sound as sexy, but let’s start with operational efficiency.
Watch this video (or read this transcript) to see William Sobel discuss data analytics in manufacturing and why to start easy before tackling sexy predictive maintenance ...




Episode 64

It’s no secret that the IIoT is enabling manufacturing to go through its next revolution. Some call it Industrie 4.0, but it goes further than the shop floor. The Industrial Internet (of Things) is virtualizing the entire manufacturing industry from supply chain to factory to distribution and along the way is having a profound effect on the workforce and the equipment used.
Listen to this podcast (or read the transcript) where I speak with Tanja Rueckert about the hot topics of connected manufacturing and asset intelligence ...


All incremental value from an IoT product comes from its virtualized representation, what I call the software-define product (SDP). Broaden this concept and you have software-defined manufacturing (SDM) which is the superset of all SDPs it produces. Abstracted, a factory is just a highly complex product so incorporating and advancing it with the Internet of Things is the future.
Watch this video (or read the transcript) to hear Helmuth Ludwig describe how he sees the future of manufacturing ...