IOT CATEGORIES
MOST POPULAR TAGS

INDUSTRIAL IOT




Episode 53


With pundit projections in the billions of devices and trillions of dollars, these are heady times for IoT. But there are challenges – big challenges in our way. This keynote presents how we get from where we are today to an outcome-based economy, realizing the business promise of IoT.
Listen (or read the transcript) to Bruce Sinclair’s opening keynote address at Internet of Things World 2016 on IoT business and technology and the outcome-based economy ...




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 ...




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 ...




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 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 ...


If implementing IoT within your organization it makes sense to target improving operational efficiency; it’s easier for the bean counters to sign off on than some esoteric new IoT business opportunity. This, as I’ve discussed before, is the thin edge of the IoT wedge for getting a pilot started. Next - what OPEX should you go after? Find a metric that everyone in the company or business unit or department, understands and lives by and then apply IoT there first. If people have a stake in it they will be more willing to change, readjust processes and help make the project successful. Rather than making it a top-down edict, power the IoT project from the bottom-up.
Watch this video (or read the transcript) to see Nauman Sheikh share his strategic and hands-on experience on the steps and best way to introduce IoT analytics in any organization ...