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IoT Platform




Episode 46

Schneider has seen the IoT light and they are following it at scale. Step 1, make all products connected. Step 2, develop a platform, in this case, for the energy management and automation vertical. Step 3, create more customer value by moving from products to products and services to ultimately driving customer results.
Listen to this podcast (or read the transcript) where I speak with Prith Banerjee about the IoT playbook to be followed by all leading edge enterprises, big and small ...


The digital twin, as GE refers to it, or the software-defined product (SDP) as I teach it, is the critical component of incremental value generation in the Internet of Things. It’s always overlooked at the expense of the shiny things… and that’s a mistake. The digital twin or SDP is central to the IoT product/system/environment – interrogated by the product app and worked on and improved by analytics – it is the place to start when defining your IoT product requirements.
Watch this video (or read the transcript) to see Hima Mukkamala explain the importance of the digital twin and to put it into the perspective of the IoT platform ...


Getting your arms around the IoT platform is still a challenge, mostly because the definition is still evolving. However if you squint your eyes a platform is either used for managing devices, managing backhaul communications or developing applications. And it lives in the cloud or on-prem or in both places at the same time. Using scope and topology is the first step in narrowing down the field while shopping for your platform.
Watch this video (or read the transcript) to see Ken Forster expertly classify IoT platforms in terms of scope and topology and describe what he considers most important when making a buying decision ...




Episode 24

In the Internet of Things there are generally three classes of analytics performed: real-time analytics done of the fly alerting you to anomalies; predictive analytics performed as a post process yielding a prediction and confidence level and descriptive analytics that reports on past, present or future data with visualizations that often result in the biggest insights.
Listen to this podcast (or read the transcript) with Shepherd Shi, as well as the steps that are taken before and after ...


To quote Mark Andreessen, “Software is eating the world” in industry after industry and it’s no different in ours. Old school SCADA (Supervisory Control and Data Acquisition) hardware is being consumed by Internet of Things software. Often people ask, “What’s the difference between M2M and IoT?” Besides the scope of the networks – M2M lives on a local area network or no network while IoT lives on a wide area network – the other major difference is SCADA consists of proprietary hardware like programmable logic controllers whereas the heart of IoT is software.
Watch this video (or read the transcript) to see Ron DeSerrano compare and contrast his company’s SCADA system with its new Internet of Things platform including the business models ...




Episode 22

How much IoT data should you keep? It’s not clear. The more data you keep, the more data transmission and storage costs you’ll incur. However thinning out your data store means throwing away potential future insights, potential answers to future questions and potential new information products to expand your business – all value generators unique to IoT products.
Listen to this podcast (or read the transcript) with Steve Stover about balancing the costs and the technology approaches to maximize your Internet of Things data value ...


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 ...




Episode 21

On the surface, building your own IoT cloud seems pretty straightforward, but brush away some of the fluff and you’ll find the non-trivial issues of data velocity, message processing, scalability, redundancy and robustness.
Listen to this podcast (or read the transcript) with Dan Collins, its differences with the IT cloud and the issues to consider when building or buying ...




Episode 20

To go beyond connectivity, the IoT Platform must abstract all components of the Internet of Things product or environment into a form that can be computed and interfaced with the app, model and analytics. I call this the software-defined product, or in the case of home automation, the software-defined home.
Listen to this podcast (or read the transcript) with Jim Hunter and the importance of abstraction – from the metal to the cloud ...