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In the data science of IoT there’s no one size fits all data model. Each situation needs to be analysed separately by your data scientist. Then the output too, needs to be custom tailored to your customer - internal or external. This output, often in the form of a dashboard, is critical in aiding the identification of value with your data. Therefore, iterate on its design as often as you do on the design of the IoT product.
Watch this video (or read the transcript) to see Christian Mastrodonato discuss standing up an Internet of Things Pilot from a Data Scientist’s perspective ...




Episode 44

If your company is collecting data, and every IoT company collects data, it needs a formal “Information Security Program”. We’ve talked risk assessment in the past, that is the process of assigning liability to each potential security breach, but that’s only part of the program.
Listen to this podcast (or read the transcript) I speak with John Ansbach about the rest of the “Information Security Program”, impending regulation and privacy concerns ...


Visualizing IoT big data is as much an art as it is a science. The palette is underlying algorithms and the exterior is color and texture mapping. Images aren’t static – they are interacted with in 3D or animated as a movie. The result is a science-based art form designed to convey information or present a story where the human mind can discover hidden value invisible to the algorithm. As a subset of descriptive analytics, it is another tool for the data scientist, subject matter expert or executive to extract value form the numbers coming from IoT sensors and data services.
Watch this video (or read the transcript) to see Barend Botha paint a picture of how to use data visualization to uncover hidden value in big Internet of Things data sets ...




Episode 42

The business counterpart to IoT security is risk, loosely defined as probability times liability. The current narrative around liability is centered on privacy but it turns out that laws, regulations and cyber security in general are some of the other elements in the IoT liability matrix.
Listen to this podcast (or read the transcript) I speak with Mark Radcliffe about the current IoT legal framework and the potential liabilities to address early on in the IoT product development cycle ...


Creating the local intelligence for an Internet of Things product requires special programming skills and knowhow to work within constrained environments. Environments possibly constrained by computing, networking, memory, power or all of the above. The effort to reduce manufacturing costs produces these constraints but sometimes the biggest costs are the ones you didn’t plan for.
Watch this video (or read the transcript) to see Peter Hoddie share his deep experience in programming constrained devices and the (business) issues to consider when planning development ...




Episode 41

Like the last episode, this show is going to be a little different.
Listen to this podcast (or read the transcript) where I’m going to discuss and analyse each episode to date, in an effort to guide you to the episodes that match your interests or where you are in your research into IoT ...




Episode 40

This show is going to be a little different than the 43 that preceded it.
Listen to this podcast (or read the transcript) where I’m going to discuss and analyse each episode to date, in an effort to guide you to the episodes that match your interests or where you are in your research into IoT ...




Episode 38

Alright, let’s talk building an IoT product or system. Time to cycle through concept – ideation – proof of concept – prototype – MVP – product.
Listen to this podcast (or read the transcript), part two of two, with Yuriy Pryadko who shares his experience in the 6-step journey to manufacturing or deployment. In part 2 we get into plenty of details and the numbers, using a fun but useful product example, this time in the consumer IoT space ...




Episode 37

Alright, let’s talk building an IoT product or system. Time to cycle through concept – ideation – proof of concept – prototype – MVP – product.
Listen to this podcast (or read the transcript), part one of two, with Yuriy Pryadko who shares practical advice on the 6-step journey to manufacturing or deployment. In part one we lay the foundation using an interesting example of an IoT system in the Fitness space, prepping us for episode 2 where we quantify the process ...


Is it in the billons or trillions? I can’t remember how many sensors there are supposed to be in 10 or is it 20 years. We get so many different predictions of the number of things in IoT it’s mind-numbing. Mind-numbing in that it’s hard to comprehend the size of the numbers being tossed around and mind-numbing because in trying to outdo each other, pundits count things differently.
Watch this video (or read the transcript) to see Dean Freeman go up and down and across the IoT food chain sizing the food chain along the way ...