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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 ...




Episode 45


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 talks about Ericsson quietly slashing IoT device forecasts, the proposed DIGIT bill and the New MQTT ISO Standard ...




Episode 43


Listen to this analysis episode (or read the transcript) with Bruce Sinclair about why he considers LPWA to be an existential threat to the mobile industry in IoT. Mobile World Congress 2016 is the first major public battle ground… the first of many ...


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 ...


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 ...


There’s a lot to developing wearables that doesn’t meet the eye. To build a wearable and the business that supports it you must recreate its creator. As with any IoT product, the skill sets needed, namely software development and data science, are more often than not, not part of the organization’s gene pool or culture. To become an IoT company each company must go through a deep tech metamorphosis to get there.
Watch this video (or read the transcript with Scott Amyx about wearables and the corporate transformation required to build, sell and support them ...