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Episode 52

It’s a symbiotic relationship – the big corporation, in search for that innovative edge, and the small startup, in search for support to get their ideas off the ground. Both have what the other needs – desperately. Coming together they form one type of ecosystem. To be players, all IoT companies – big and small – must be part of one or more ecosystems.
Listen to this podcast (or read the transcript) where I speak with the folks at TechrIot about their approach of bringing IoT companies together ...


A solid route to take when developing a consumer Internet of Things product is concept -> ideation -> proof of concept -> prototype -> video -> crowdfunding -> MVP -> beta with early investors -> product. Harvesting your vested customers to become true fans is an incredibly powerful way to take a product to market and doesn’t necessary sidestep traditional funding sources. One of the reasons I like it most however is because it follows my launch philosophy of Design -> Sell -> Build - especially important in IoT.
Watch this video (or read the transcript) to see John Mein discuss the details of how to start with crowdfunding to launch a successful consumer IoT product and company ...




Episode 49

In this episode Bruce recounts recent meetings with clients and discussions with IoT design houses to discuss the current state of the art in data analytics in IoT deployments.
Listen to this analysis episode (or read the transcript) with Bruce Sinclair for the reasons why data analytics isn’t usually considered by clients and why that’s OK ...




Episode 47


Listen to this analysis episode (or read the transcript) with Bruce Sinclair where he analyses the latest IoT news from a business perspective. In this episode Bruce tees off from the Apple CareKit announcement to discuss why ecosystems are so important and how they differ from IoT platforms ...


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 ...