Episode 120

It amazes me that there are companies out there still intent on building their own middleware software to collect and transport sensor data to the cloud. This middleware is called the IoT platform and at last count, there were over 300 for sale. In this episode of the IoT Business Show, I speak with Jonathan Cobb about why it’s always better to buy or lease an IoT platform than to build it on your own. And I’ll give you a one-word hint: scale

The post To Build or Buy the IoT Platform – the Answer is Clear appeared first on .

Episode 91

The thing about the GDPR, whether we like it or not, is that it’s forcing us to do the right things when it comes to sensitive data in IoT. While there’s certainly a burden to bear, following its regulations on subject’s rights is a guide book on the right way to handle consumer privacy. So use its introduction as a reason to catapult this part of your business forward.

Listen to this podcast (or read the transcript), where I speak with Chris Perram about the first steps to compliance and how to take them

The post The GDPR is Coming Fast – What Should You Do First? appeared first on .

Episode 87

The digital twin is a federation of data and models that can be analyzed or put into a simulation to create useful information about the past, present or future of the DTs physical twin. The type of model and the level of model can make or break the analysis or simulation.

Listen to this podcast (or read the transcript), where I get down and dirty with Jim Tung, breaking the digital twin down in order to understand this most important tech at both the atomic and system level

The post Breaking Down and Building Up IoT’s Digital Twin appeared first on .

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

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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

The post Modeling the Raw Data to Create IoT’s Digital Twin appeared first on .

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

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Episode 81

There’s no denying it, robots are cool, even more cool when you call them cyber-physical systems, which is what they are, but they’re also IoT systems. And applying the thinking of IoT to robots makes them even cooler and more valuable because instead of being discrete systems, they can be integrated as a component of an IoT environment, working together with other components, to deliver outcomes.

Listen to this podcast (or read the transcript) with Chris Jones of iRobot about the Roomba and its place in the IoT world

The post iRobot & IoT – Taking the Roomba to the Next Level appeared first on .

The post Adding the “When” to Predictive Analytics for IoT appeared first on .

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

The post Your IoT Journey – Taking the Right Steps appeared first on .

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

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