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)
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)
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.
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)
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
Naturally, with billions of devices all connected to the cloud for
manufacturing, oil and gas, utilities, municipalities and enterprise, to... (more)