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Perspectives on the Industrial Internet of Things

Scott Allen

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Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future. Before we get to our news round up let's start by re-defining M2M, to ensure we are all on the same page with its purpose and meaning. Gartner has defined machine-2-machine communications as "something used for automated data transmission and measurement between mechanical or electronic devices." Now, that we have defined M2M, its time to check out our top news round up for the week on how M2M applies to both manufacturing and IoT. 10 ways machi... (more)

M2M and #MachineLearning | @ThingsExpo #IoT #M2M #IIoT #API #BigData

Time and again, those keeping a pulse on the Internet of Things (IoT) space frequently hear about the "rise of the machines." Humanity is not only discovering fascinating ways to integrate machines into our daily lives, but also finding new uses for machines as well. How? Machines are now "internet-connected" just like the smartphones we carry around in our pockets. And this isn't just on the commercial side with the likes of smart thermostats or connected vehicles - even tractors and oil and gas machinery are industrial examples of where new "things" are now on the digital net... (more)

Shift in IIoT #Monitoring | @ThingsExpo #IoT #IIoT #DigitalTransformation

There's been a seismic shift in monitoring earthquakes via the  Industrial Internet of Things (IIoT) with advanced Machine-to-Machine (M2M) technology having reshaped the industrial communication industry. Every device or machine along the network, even at the outermost edge, now has the opportunity to be fully-connected for automated collection and delivery of information. As Sensor-2-Server (S2S) communication technology evolves to keep up with the demand for this connectivity paradigm, new efficiencies are created and Big Data is available to drive actionable intelligence. Se... (more)

Manufacturing Disruption with #IIoT | @ThingsExpo #IoT #API #BigData

Industrial IoT continues to cause disruption; not just in manufacturing, but across many other industries as well. In the last few months we've been keeping a pulse on the state of digital transformation across the business landscape and have been discovering exciting new implementations of Industrial Internet of Things (IIoT). This week we're highlighting the disruption Industrial IoT is instigating as product development and lifecycle management continues to evolve. Overcoming Three Key Barriers to Industrial IoT Industrial IoT has the potential to capture data in real-time, l... (more)

IoT Challenge and #FogComputing | @ThingsExpo #IoT #M2M #BigData

Fog Computing is being touted as the data communication solution our Internet of Things (IoT) devices are asking for by bringing the power of cloud computing closer to the end user. The fact is, the number of connected devices is going to continue to grow exponentionally. In fact, Gartner predicts that by 2020 IoT will include 26 billion connected things. Consider the impact that amount of data collected and processed will have.The Challenge Naturally, with billions of devices all connected to the cloud for manufacturing, oil and gas, utilities, municipalities and enterprise, to... (more)