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As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we at FreeWave took a look around the industrial IoT landscape to see what this year might potentially have in store. It’s become increasingly difficult to ignore the importance of cybersecurity. From the role it played in the 2016 presidential election to the recent revelation that in 2013, more than one billion Yahoo accounts were breached, cybersecurity is no longer a problem unique to Sci-Fi thrillers. Of course, the two examples mention here are simply the most egregious of recent memory, but they pale in comparison to the threat of a cyberattack on actual infrastructure. Cybersecurity for the Industrial Internet of Things (IIoT) began as a minor headache and quickly grew into a full-blown migraine. Data is the perhaps the most important “currency” in the world toda... (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 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)

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. Seismic Shift Data that Saves Lives The sheer quantity of available data, combined with the speed of automation, can support mission-critical applications that are designed to save lives. Research centers can leverage IoT networks to relay critical data in real-time from areas where earthquakes ... (more)

IoT and ML | @ThingsExpo #BigData #MachineLearning #CognitiveComputing

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)

Robotics & IoT Merging Together

The Internet of Things (IoT) has made its appearance in a substantial number of industries, most recently manifesting itself in the the realm of robotics. IoT technologies and standards open the door for new robotic capabilities that are powered by cloud computing, communication with other robotic systems and sensor input from the environment around them.  Recent research has pointed to a new opportunity for robotics to operate beyond the scope of what was possible just a few years ago. As we look at a future of data and connectivity at every end point – from our cars, to our homes, to our businesses – it’s clear that we’ve just begun to scrape the surface of what is possible with the rapid expansion of IoT throughout the world. In a recent report, ABI research coined the, “Internet of Robotic Things (IoRT),” defining the concept, “where intelligent devices can moni... (more)

All Aboard the IoT Railway

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 well. 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)

Big Data: Election Analytics and More

During the 2016 election season, we’ve seen considerable media coverage on big data and predictive analytics.  The access to massive quantities of data has played an increasingly important role not only for predicting the election winner, but also for driving candidates’ campaigns. During the 2012 election we saw political data science and big data leveraged by campaign managers to tap into the public opinions of the candidates. The information garnered from those data points led to decisions that shaped campaign strategies. Since 2012, we’ve seen substantial advancements in political data analytics. A recent Forbes article explains this well, “In recent years, political data analytics has advanced from simple micro targeting to true predictive data science, and the track record is good. Some of the brightest minds in the field are using massive amounts of data, c... (more)

Industrial IoT Weekly Highlights

It’s time for another edition of Industrial IoT (IIoT) weekly highlights! Robots seem to be taking over this round of updates – by air, land and sea. Don’t fret, we haven’t stepped into a Sci-Fi movie just yet. Aside from machines, we gathered the latest information about fog computing, and why this trending concept is needed in the enterprise. The possibilities for machine innovation spurs thinking that we are just scratching the surface of digital transformation. What will people think of next? Sit back, relax and get ready to enjoy another round of weekly IIoT highlights! Weekly Highlights Breakdown What Is Fog Computing? And Why It Matters In Our Big Data And IoT World By @BernardMarr | Published on @Forbes “Fog computing, also sometimes called edge computing, solves the problem by keeping data closer “to the ground,” so to speak, in local computers and devi... (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, 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)

Exclusive Q&A with John Goodson, VP & GM of DataDirect Technologies

"Data services apply the same philosophy of reuse and flexibility that SOA offers, but to the data tier," explains John Goodson, executive leader of DataDirect Technologies, in this Exclusive Q&A with SYS-CON's SOAWorld Magazine. "Data services," Goodson continues, "provide a level of abstraction that frees developers from concerning themselves with the physical location or format of the underlying data." SOAWorld Magazine: You’ve worked closely over the years with organizations like Sun and Microsoft on the development of database access standards: how tough is it to reach industry consensus on these kinds of thing? John Goodson: Bringing top technical minds together, each with their own unique perspective and individual experience is always a challenge. When you add in corporate agendas, then it’s really hard. At the end of the day, every database vendor implements a ... (more)

DataDirect The Coming Wave in Data Services

"Data services apply the same philosophy of reuse and flexibility that SOA offers, but to the data tier," explains John Goodson, executive leader of DataDirect Technologies, in this Exclusive Q&A in the run-up to the inuaugural DataServices World on June 24th in New York City, of which DataDirect is the Diamond Sponsor. "Data services," Goodson continues, "provide a level of abstraction that frees developers from concerning themselves with the physical location or format of the underlying data." Clck here to view Webcast ... (more)