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Episode 50

As the technology of IoT evolves the concept of a distributed computing environment is becoming increasingly relevant. A key component of this architecture is fog computing, blending the cloud to the edge. Being able to access computing, networking and storage resources locally makes sense for many classes of IoT deployments.
Listen to this podcast (or read the transcript) where I speak with the bigwigs of the newly formed, OpenFog Consortium ...


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 48

Building an IoT product line isn’t just for the big guys. Small and medium size manufacturers can transform their business into Internet of Things powerhouses by following the same IoT playbook – albeit on a smaller scale.
Listen to this podcast (or read the transcript) where I speak with Christian Shaffer about the steps his 20-person company took to unlock $2 million in recurring revenue ...




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 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 ...