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 network.
In fact, there are more M2M or 'machine-to-machine' communication devices on
this planet than humans. As GSMA Intelligence reported in 2014, there are
7.2bn M2M devices versus 7.19bn humans. Stuart Taylor from Cisco also wrote a
prediction that "The Internet of Things (IoT) is a world w... (more)
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, leverage big
data analytics and streamline efficiency to name a few. So what's hold back
the industry? A major barrier has to do with culture of the operational
technology (OT) organizations within the industry. The OT have a risk-averse
way of thinking and see change as disruption, "Whereas ... (more)
The Internet of Things (IoT) is creeping into every aspect of our lives. With
the advent of smart cities, smart manufacturing, precision agriculture,
drones and digital energy, businesses and individuals alike have seen the
influx of IoT technology. For example, a recent report from Gartner,
"suggests that more than 26 billion devices will be connected to the
internet by 2020, with 250,000 of them being vehicles." So, with the billions
of connected things, its only natural this week's top news roundup would
highlight how IoT is maturing and what experts see for the future ahead.
Research Firm Calls for Standardized IoT Deployments
As the demand increases to make more smart cities, researchers warn of extra
costs and fragmented delays if we don't create overall IoT standards. Machina
Research reports, "Using current non-standardized technologies, it would
cost 1.12... (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 name
a few, the data transmission and processing rate is bound to slow down -
especially if the current cloud architecture is upheld.
Some IoT devices use the cloud to store data long term, where other
connected things send data to the cloud to be analyzed and sent back to the
device with... (more)
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)
There is a lot happening in the industrial IoT (IIoT) space lately, as
evidenced by all the recent news announcements, analyst insights and business
transactions occurring on the daily. Some say there is a foggy forecast for
the industrial internet of things, mainly because the success of cloud
computing must extend beyond data centers, but real world use cases should
continue to pave the way. In some respects, perhaps it’s just the fact
that the ROI from the IIoT is still in its infancy, but many are clamoring
that a more standardized infrastructure is needed to help solve the unique
complexities that IIoT presents.
In this week’s IIoT news roundup, you’ll find a little
bit of everything – from oil and gas and manufacturing to fog computing,
drones and sensors. Dive in and see if you have any other articles that you
think are worth adding! And don’t miss the bonu... (more)
In many parts of the world, rail represents a major component of
infrastructure – for the transportation of both humans and goods. In fact,
railways are critical to some of the major industries like oil and gas,
agriculture, and food refrigeration/transport. Much like those industries
have, over the years, adopted automated, machine-to-machine (M2M) technology,
railroads have similarly deployed more advanced technology over the years as
Railways began the “automation” process by adding Automatic Equipment
Identification (AEI) tags back as early as 1989. These sensors track the
specific item tagged, but they have no way of knowing how the train is
operating as a whole. Companies also began deploying RFID tags to track goods
being transported along the different lines. The AEI sensors could provide
information on the rail car and would interact with the variou... (more)
It’s time to nominate our Friday top five Industrial IoT news articles of
the week. Much like the weather in Boulder this week, we couldn’t decide on
just one vertical focus, so we cast a wide net of IoT topics. In this
week’s roundup, you’ll find a splash of fog computing, manufacturing,
smart grid, security and overall IoT updates.
Dive in and see if you agree with our picks. Don’t miss the Friday bonus at
the end of this short roundup.
1. Making fog computing sensors clearly reliable
By @Patrick_Mannion | Published on @ednmagazine
“As fog computing rolls in, the onus is upon designers to figure out how
much intelligence should be at each node of the system for optimal
performance. This implies then that sensors will need to start being more
intelligent, with some level of built... (more)
Has IoT app development begun to take the globe by storm? A few weeks ago we
discussed the growing need for more third-party app creation for the
Industrial IoT industry. This week, we dive deeper and focus on those early
adopters of industrialized IoT app development and what
industries these “bleeding edgers” are serving.
We all know by now the number of connected things is projected to grow
massively over the coming years. Injecting new software applications into
the industrial IoT world creates even more monitoring, control and usage of
devices and data at the edge.
Some would call this influx of software with industrialized hardware a modern
marriage. The manufacturing sector, for example, seems to have found a use
for implementing next-generation hardware to improve and automate
operations, especially along the assembly line. At the same time, cloud-based
Much of the world around us is becoming driven by sensors, where we are able
to track and map numerous possibilities with countless M2M and IoT solutions.
So, we wanted to highlight some of the trending use applications of sensors
The Army is looking at installing sensors to their combat soldiers
The Army is looking for a way to better track the health and well-being of
their soldiers in combat, and current health fitness sensors have too many
irregular findings. Jennings Brown with Vocativ informs us that “The United
States Department of Defense is interested in monitoring the health of
soldiers in real-time.”
Although it is interesting to see Army uses of sensors. One must ask how
sensors impact the industry at large?
IoT is responsible for propelling sensors further into our world.
Recent findings from ABI Research show that you can’t have one without the ... (more)
This week BI Intelligence revealed the key benefits of fog computing along
with a list of industries adapting this methodology. It is estimated that
5.6 billion IoT devices owned by enterprise and government will soon use fog
computing for gathering and processing data. Let’s dive into some recent
news from the past week and start by taking a closer look at the latest
development in fog (edge or access layer) computing.
Fog Computing in the IoT Forecasts industries and adoption benefits
Edge or fog computing will become a priority as enterprise deals with the
exploding amount of data waiting to be collected, sorted and
processed. “The ‘Internet of Everything’ — all of the people and
things connected to the internet — will generate 507.5 zettabytes (1
zettabyte = 1 trillion gigabytes) of data by 2019, according to Cisco.
A deeper dive into this week’s top news show u... (more)