IIoT Top News: What the Industry Experts Say
Living in a 24-7 news cycle, it is best to take a break from all your favorite news outlets and go back to the basics. Industry analysts today are charged with giving their audience an unbiased report of their findings, that’s why this week’s top IIoT news is dedicated to seeking out some of the industry expert opinions in this ever-changing digital world. Let’s start by looking at Ovum’s 2015 key theme for the oil & gas industry. According to Ovum, more modernization of IT platforms will continue to help reduce the disconnect from the IT stone-age equipment to the modern real-time IIoT, thus allowing companies to improve their overall decision making process. A closer look at Forrester, we find security topping the list for 2016. In a recent report, Forrester is quick to call out the shortsighted firms for not realizing the importance of implementing proper security measures to protect the collection of data. It is recommended that firms stop focusing on the lowest possible cost to secure data, and turn the focus into the best way to keep and maintain quality information safely. On another digital front, Gartner predicts that by 2016 6.4 billion IoT devices will be in use, and only sees that number soaring with an estimated 20.8 billion things connected by 2020. Overall, we heard about the need to bring ethics to data, and predictions of how data will be turned into insight and action in the coming year. Other reports included the top digital trends and how those trends fit into the new digital mesh landscape. Additionally, we learned about revolutionary IIoT operational ideas for the future and a big data forecast for 2016 and beyond. Hope you enjoy this week’s research related reading! Bringing ethics to data, a board-level agenda item (OVUM) The challenge facing companies today is, what practices should be put in place to handle the large scale, data being collected. Tom Pringle reiterates the assertive stance Ovum has taken when it comes to the ethics of big data, “If data holds the potential to benefit many, it also has the potential to harm many (as an unexpected outcome, or purposefully negative).” Forrester’s 2016 Predictions: Turn Data into Insight and Action In the 2016 Forrester predictions, Brian Hopkins, Enterprise Architecture Professional has broken the it up with three major shifts, that will help turn data into insight and action. Hopkins is quoted as saying, “Machine learning will replace manual data wrangling and data governance dirty work.” Top Ten Digital Trends Signal the Digital Mesh (Gartner) David Clearley, vice president and Gartner fellow details the top digital trends and how those trends fit into the new digital mesh landscape. The fifth trend on Gartner’s list is advanced machine learning, Clearley believes that, “Advanced machine learning is what makes smart machines appear “intelligent” by enabling them to both understand concepts in the environment, and also to learn.” This area is quickly evolving, now is the time to figure out what technologies your company needs so you can have the competitive advantage. Convergence in the Plant Asset Management (PAM) Market (Frost & Sullivan) In this detailed plan from Frost & Sullivan, they see IoT driving the next generation of improvements with predictive analytics. Furthermore, in the plant asset management (PAM) market Frost & Sullivan sees the, “Industry initiatives, including Industry 4.0, Smart Manufacturing, and applications of Internet of Industrial Things (IoT) technologies are revolutionizing operations and maintenance, enabling the cost-effective connectivity of a wide variety of asset classes.” New IDC Forecast Sees Worldwide Big Data Technology and Services Market Growing to $48.6 Billion in 2019 A new report from IDC forecasts the enormous expansion of both big data worldwide and the services market by 2019. IDC predicts that, “The Big Data market continues to exhibit strong momentum as businesses accelerate their transformation into data-driven companies.”
Staying Connected at the Ski Resort
Getting connected at the ski resort, sounds like a dream come true. We can all probably admit that we often have an expectation for Wi-Fi availability at most places we go – our hotels, coffee shops, restaurants, shopping centers and more. Now, Wi-Fi is popping up in the places we would have ruled out for connectivity several years ago. Places like golf courses, campgrounds, marinas and ski resorts. This is catching on quickly. It is becoming a necessity to offer Wi-Fi at ski resorts and this is largely due to the fact that modern technology can allow it. The rise The Internet of Things (IoT) has opened the door to not only connectivity everywhere, but data that allows us to make better decisions. There are apps available today that allow skiers to compare lift line times and identify their location on a trail map. While the concept of complete connectivity is quickly catching on, there are still challenges to overcome. For example, Wi-Fi signals can be limited in strength; especially in snow-packed, rugged outdoor environments at ski resorts where temperatures are consistently well below the freezing-point. Connectivity at the Ski Resort Because the majority of their operations are outdoors, ski resorts require a rugged Wi-Fi option. This is true for all outdoor Wi-Fi applications – whether it’s a campground, marina, golf course or any other outdoor-based business. Each will face challenges due to varying landscapes and weather extremes. These businesses looking to bring connectivity to customers need to find a shorthaul solution that is rugged and secure enough to remain connected in the most extreme elements. They also need to enable high-speed, high throughput application solutions. In addition bringing connectivity to ski resorts – we’ve seen increased adoption of industrial Wi-Fi networks for security programs and disaster response. For the skiing industry, this may be beneficial to avalanche and rescue teams. With the added ability to track skiers on the mountain, as well as send targeted warning or emergency alert messages across the network, resorts would have an additional tool in the arsenal to facilitate safety measures across wide areas. Having reliable Wi-Fi during emergency communications, especially high-speed Voice, Video, Data and Sensor (VVDS) data transport, can help ensure secure lines of communication during emergency or disasters. Additionally, resorts can leverage the secure network from VVDS enabled Wi-Fi to increase resort security. The Rugged Solution Solutions are available today that will help ski resorts stay connected. These types of technologies are used every day in highly industrial environments like oil and gas, water/wastewater and even by the military. They function in the most remote, volatile, exposed environments. Now, they can be used in innovative ways to bring connectivity to ski resorts. Whether a ski resort wants to offer Wi-Fi to guests so they can better access their skiing apps and GPS, or if it’s to create a secure communication link for emergencies and rescue efforts – these solutions are designed to ensure connectivity. They offer robust, secure transport of VVDS information over rugged, shorthaul communication networks for edge devices and outdoor assets. They are specifically designed for outdoor Wi-Fi connectivity that has been tested and proven in extreme weather and environmental conditions.
IoT Emerge Recap
IoT Emerge bounced on the scenes of Chicago this week. Yes, aside from the long awaited World Series win, an IoT conference was happening in this windy, action-packed town. The conference boasted two days of keynotes, technical sessions, workshops, live demonstrations, hands-on training and plenty of opportunities for networking with industry peers. The IoT Emerge mission is to continue to educate and promote cross-industry functions with a focus in Industrial IoT, smart cities and IoT engineering. Below, we’ve highlighted the best moments from the week. IoT Emerge: What have we learned? Back in 2011, research firm Gartner said the Worlds of IT and Operational Technology Are Converging. We believe IT/OT convergence is a critical concept: it promotes a single view of an enterprise’s information and employs process management tools to help ensure that every person, machine, sensor, switch, device, etc. in an organization has accurate information in the best format and at the right time. We learned optimizing the business process is vitally important. Decisions will be made in real time with higher levels of confidence because more information will be available regarding the event or condition. For example, load shed or curtailment events will be based on energy availability (IT sources) and demand throughout the distribution network (OT sources). Event management in an IT/OT converged networkwill execute as a closed loop process by targeting a feeder or substation, issuing curtailment signals to customers under that substation or feeder. This gauges real-time response and repeats as required to achieve the target reduction time. What other insights did we gain from IoT Emerge? Myths about IoT Engineering: The Industrial Internet of Things (IIoT) is not ready to support predictive analytics With commentary from Eddie Garcia @freewavetech | Published on @ElectronicDesgn “When most people think about the IIoT, they think of machine-to-machine communications (mostly supported by RF technology) that have dominated the industrial sector for years. However, the convergence of IT and OT practices have seen intelligence moved closer to the access layer than ever before. New communication platforms have improved to the point where big data transport can come directly from the sensors at the edge (OT) all the way to the servers in the back office (IT). The industrial sector is closer than it’s ever been to supporting the future of data collection, transport, and aggregation, ultimately resulting in the huge data sets necessary to support predictive analytics at the IT/OT level.” IoT Emerge and Up-Close and Personal IoT Experience By @JKerns10 | Published on @MachineDesign “As IoT applications and case studies start piling up, some companies still wonder where the Industrial Internet of Things (IIoT) fits in their production lines. There’s lots of information on the internet about the IIoT, such as how IIoT worked in one application or how much a company could save by using a specific IIoT product. While examples and case studies offer ideas on how IIoT might fit your production line, having a chance to talk to experts directly about your applications and concerns can help ease concerns.” IoT Emerge: Looking ahead to the future By @IoTEmerge | Published on @cote_se IoT Emerge a chance to shed light on the possible digital future. Smart cities and Industrial IoT top the watch list. Along with the conference buzz, conference organizer Penton Publishing also launched the IoT Institute aimed at educating the growing IoT world. Color your IoT World By @IoTEmerge Coloring is not just for the kiddos. IoT Emerge worked with local Chicago artist Rawfa to create a wall sized coloring book. Conference goers got to take a break from the IoT information overload and color to their harts content. Industry thought leaders did an excellent job representing the broad range of emerging IoT applications this year, and as we move steadily toward the close of 2016, it’s clear that we can expect some exciting and innovative technology applications in the not-too-distant future.
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 devices, rather than routing everything through a central data center in the cloud.” Farm 2026: The Robots Are Coming By @hiyamckidd | Published on @FGInsight “Lettuce thinning is still done manually at lower cost, but robots are likely to reach break even with human labour within 12 years.” Digital Technology to Transform Oil, Gas Hiring Practices By @KarenBoman | Published on @Rigzone “When oil and gas companies start hiring again, they will need to prepare for a workforce of college graduates who want to work off a cell phone or tablet.” Manufacturers Struggle to Woo Software Developers By @AndrewTangel | Published on @WSJ “Nearly every industry is looking to hire software engineers and developers. But the manufacturing sector is having particular trouble attracting potential recruits.” The 10 Coolest Drones at the Worlds Biggest Robot War Games By @David_Hambling | Published on @PopMech “Unmanned Warrior is the world’s biggest robot war game, currently taking place for two weeks off the coast of Scotland. It was proposed by First Sea Lord Admiral George Zambellas to give airborne, surface, and underwater drones from various suppliers a chance to show off their prowess. Unmanned Warrior is part of Joint Warrior, an exercise involving 30 warships and submarines from 18 nations. But for the newly inaugurated robot portion, the U.S. is a strong presence, with teams from the Office of Naval Research (ONR).” As we conclude our Industrial IoT weekly highlights, we hope you were entertained and enlightened. Technology continues to change at a fast pace, let’s find common ground with our robotic pals. Tune in next time for more IoT innovation!
Industrial Communications and Security Go Way Back
Industrial communications and security have a long standing history. In 2016, industrial network operators can collect more data from geographically dispersed field assets than ever before. As we head towards fully connected systems through the Industrial Internet of Things (IIoT), communication technology manufacturers continue innovating and creating enhanced solutions that will meet the Big Data demands of today and the future. Data has become one of the most valuable assets an organization can own. It can help operators improve operational decisions, save manpower and improve employee safety by keeping them out of dangerous environments. Industrial Communications Industrial communications networks have more access points than ever before and we will continue to see more IIoT devices in service as connectivity improves in challenging environments. The IP-based technology incorporated into Industrial IoT communiations make it easier to deploy and talk to sensors, but it also makes it easier for intruders to see and snoop on valuable data streams. Anytime we talk about the collection and transfer of large amounts of critical data, security becomes an important part of the conversation. If you’re a manufacturer, you are probably nodding your head in agreement or maybe even thinking that is an obvious statement. However, based on the major cyber-attacks that have occurred in industrial networks over the past decade it is clear that a security focus from design to deployment isn’t always the case. Take a look at this infographic, “A History of IIoT Cyber Attacks and the Future of Security,” to see just how many huge scale cyber-attacks have impacted a variety of industries. While the infographic offers insight into major IIoT security breaches we’ve seen in the past decade or so, it does not provide the entire picture of industrial communication technology history and security practices. It does not highlight the fact that industrial operations networks have been using communication devices for decades and many industrial systems have been “online” since well before 2007. In fact, wireless machine-to-machine (M2M) communication solutions have owned the command and control of field assets for decades. Looking Closer at Solutions Top-tier industrial communication solution manufacturers have been leveraging security to prevent cyber-attacks and vulnerabilities on data long before the first major breach identified in the infographic. For years, these manufacturers have used a variety of techniques beyond physically securing the devices, including frequency hopping spread spectrum (FHSS) based devices with security standards like TLS/SSL and basic AES-128 data encryption. Some communication technology providers created solutions that are trusted by the US military for secure mission critical data transmission and have been used for more than 20 years. If one thing is clear in the efforts to protect data over time, it is that a critical infrastructure project is only as reliable and secure as the technology serving it. Security will ultimately be the limiting factor on how much IIoT technology is deployed. A modern operator striving for an IIoT network must look at SCADA security, the convergence of Operations Technology (OT) and Information Technology (IT), and make a thorough assessment of what will allow them to achieve a secure data communications network and where they want to be in this triangle. As the industry has evolved, so have the security practices. But what hasn’t changed is that an operator looking to build an IIoT network must carefully select their technology and look for the solutions that are focused on security.
IoT Evolution Podcast Recap: Edge Computing Future
Edge computing has become a topic of hot conversation as the technology capable of supporting sensor-2-server data transport has matured. The realization of true edge computing is accompanied by a host of benefits, including real-time data transmission, maintenance needs and considerable savings for operational expenses. Is edge computing the cut-and-dry future? Ken Briodagh, editorial director with IoT Evolution, plays devil’s advocate on a recent podcast with FreeWave Technologies CMO Scott Allen. He asks, essentially, “If companies focus resources on the real-time data transport at the edge – sending small packages of data at a time in the interest of speed – are we losing the benefits of big data? Do we lose the information that big data sets can provide in terms of predictive analytics and, ultimately, machine learning if we discard bits and pieces of data at the edge that we’ve deemed irrelevant?” Listen to the podcast below for Allen’s response! Overall, edge computing has three main drivers: latency–our need to have the data in milliseconds; loss of communication–able to solve the factory problem without shutting down the entire plant; proximity–sensors in the field monitor the data back to the edge. Edge Computing Solution Depending on the industry, a mixed bag of both programmable and edge computing solutions is an answer to Briodagh’s question. In some cases, especially with the oil and gas industry, companies rely on a sensor-2-server stream of communication, where they need to have the information in real-time, and if there is a problem, be able to act locally and fix the issue before anything drastic happens. The network is a combination of radios communicating with sensors that pass the data to a gateway and up to a cloud system. The network uses only small data sets to transmit a continuous flow of intelligent, sensor-based information, optimizing bandwidth in situations where latency is crucial. Next for the Edge There will come a time when using edge technology will just become a regular line item expense needed to do business in this modern age. Some early adopters have already started using gateway systems as a cookie cutter roll-out for all future expansions. Many worry the cost of entry is still too high to integrate, even though the need for transmission is great. As our digital age grows, infrastructure complexity and the desire to implement the latest technology grow along with it. Altogether, edge computing is still in its infancy stage, so no one really knows what data we deem irrelevant today will be vital tomorrow.
IoT is for Automotive
The Internet of Things (IoT) has made an appearance in just about every industry (including automotive) that uses automation and has opened the door for the automation of pretty much anything and everything. Today, there are more devices than people and by 2020 there is expected to be 26 Billion – 50 Billion internet connected devices being used throughout the world. If one thing is true – and if the staggering stats above are any indication – we’re headed towards a fully connected world at a very high speed. Think about everything we can do now that wasn’t possible just a few years ago. We can lock our doors and shut off the thermostat from an app on our phone. At the push of a button, we can buy laundry detergent and have it shipped to our home. Industries with geographically dispersed and remotely located assets can cost-effectively add sensors and smart devices to every single network endpoint – to automate systems and drive intelligent business decisions locally and from afar. Racetracks are the next place IoT is surfacing, while automobiles with infotainment systems (connected by the IoT) continue to fill the streets. Autonomous Automobiles In the tech world, you’ve probably seen industry buzz and research data that verifies the reality of autonomous (or at least semi-autonomous) vehicles commonly traveling our roads in the near future. In fact, a few of the most innovative car manufacturers have already released vehicles with some autonomous features. If anything is for sure it is that the driverless car is much more than a fantasy today– there are people working to develop these vehicles right now. In the meantime, IoT has already begun to leave its mark on the automotive industry. So, what are some real life examples of unique ways that IoT communication solutions are being used in the automotive industry today? The Racing Industry The auto racing industry can automate many systems and processes for drivers and also generate data to support real-time decision making with IoT communication solutions. In one use case, IoT technology enables video data and high speed connections through a point-to-point system. With the data made available to drivers, they are able to adjust their racing strategy in real-time and make smarter decisions that decrease risk and save time. Electronic Car Testing For one electronic car manufacturer, IoT communication solutions are being used for engine testing and maintenance by using real time kinematics (RTK) base station communications to improve data and correlation. What Helps Drive the IoT for Automotive? Sensor-to-Server (S2S) communications have emerged as an essential solution for IoT networks in a variety of industries from industrial settings like oil and gas, to environmental monitoring, to the automotive industry. S2S solutions that are designed specifically for industrial-grade IoT networks, offer high speeds and extended distance connectivity via RF technology that can also support third-party applications. These solutions meet the demanding needs for collecting, protecting, transporting and controlling data from network end points all the way back to the server. As the world around us becomes more connected on a daily basis, we’ll continue to see new innovations released in many different marketplaces. In the automotive industry, IoT is leading to the inevitable release of autonomous vehicles. We can expect to see S2S communications play an increasingly important role for auto manufacturers looking to improve innovation and connect the network devices that were previously not connected.
JavaOne 2016 Recap
JavaOne had the pleasure of taking San Francisco by storm. The 2016 conference left little to be desired, with more than 450 java-focused demos, labs and sessions with peer experts, plus time to network with this high-tech crowd. This year aimed its attention at young coders, enterprise, developers and the tools they need to keep innovation alive. If by chance you weren’t part of the masses that migrated to San Francisco, this week’s recap is dedicated to JavaOne highlights. So sit back, relax and enjoy this week’s recap. Opening Keynote Hints At Ambitious Changes In Next Version Of Java By @Oracle | Published on @Forbes “A common theme in the keynote was the promised modularization feature, Project Jigsaw—which enables Java programs to ship and run with much smaller footprints, thereby using fewer system resources.” Java EE moves forward once again By Alex Handy | Published on @SDTimes “The state of innovation in Java EE was so in question that, earlier this summer, the Java Guardians were formed to champion the platform and demand that it be pushed forward. At JavaOne today, Oracle finally detailed its plans to address the neglected enterprise Java platform. Alongside that road map came new information on the in-development Java SE 9 and OpenJDK 9.” Audience Gets a Glimpse of the Power of JShell By @mon_beck | Published on @InfoQ “During his JavaOne 2016 keynote, Mark Reinhold, Chief architect of the Java platform group pointed out that Java 9 is much bigger than Jigsaw as can be seen in the 85 JEPs targeted for Java 9. I would like to discuss one new Java feature he highlighted, JEP 222, the Java shell (also known as JShell.) With JShell, Java 9 will enable developers to use Read-Eval-Print loop (REPL) which is an interactive tool that evaluates user input and prints the output either as a value or a state change.” A boost for cloud app developers By Admire Moyo | Published on @ITWeb “Oracle says by giving developers a choice of programming languages, databases, compute types, operating systems and virtual machines, integrated development environments and tools, the company provides developers with the choice and flexibility needed to build modern applications in the cloud.” Top Tweets During the Event! Women in tech are taking over Posted by @java Times are changing as women in tech fill up the next JavaOne panel discussion. Talking code, programming and technical specifics is no longer a man’s world. https://twitter.com/java/status/778694106503532545/photo/1 Don’t forget your Star Wars costumes! Posted by @hendrikEbbers JavaOne asked us to reach for our inner Star Wars fan, by giving away Star Wars stickers to the first 50 people that dressed up in their best Star Wars gear. We are still looking for the proof. If you did dress up, please share your pictures with us! https://twitter.com/hendrikEbbers/status/778347600600719360/photo/1 ReadWrite Meets FreeWave! Posted by @citizencaen The excitement around JavaOne was palpable! We were thrilled to finally meet the Chris Caen from ReadWrite as we caught him up on the new partnership announcements with Teachneaux and Resilio. We also had the pleasure of showcasing our latest ZumLink IIoT Programmable Radio at JavaOne, as pictured below. Chistorpher Caen with ReadWrite caught up wtih Michelle Marceny at FreeWave Technologies. Caen found out that, “When FreeWave says their devices have 2.8 million combat hours, they really mean combat hours.” https://twitter.com/citizencaen/status/778662244276064257/photo/1 JavaOne Entertains in Style! Each night was filled with social networking, good food and drinks. Wednesday night they pulled out all the stops grabbing the attention of both young and old by having performances by both Sting and Gwen Stefani. Lots of fun!
Seismic Shift in IIoT Monitoring
There’s been a seismic shift in monitoring earthquakes via the Industrial Internet of Things (IIoT) with advanced Machine-to-Machine (M2M) technology have 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 are a common threat to people living nearby. While natural events like earthquakes and volcanos are not avoidable or fully predictable, an IoT network can potentially help reduce the level of devastation through close, reliable seismic monitoring via highly sensitive and advanced sensor technology. S2S communications monitor and send data from remote areas where Earth changes are first detected, to the monitoring authorities who are closely tracking seismic activity. S2S solutions leveraged for early detection of these events can enable authorities to warn citizens in advance to take appropriate precautionary measures. When robust, rapid, real-time monitoring is combined with effective emergency communications, human casualties can be significantly decreased. Seismic Shift and the Ever Changing Landscape IoT has been adopted at such a rapid pace that the demand for modern, sophisticated communication technology is driving constant changes in remote, industrial communication networks that will further advance applications like seismic monitoring. These changes have clearly disrupted the traditional Supervisory Control and Data Acquisition (SCADA) market. While SCADA systems are not obsolete, industries like environmental monitoring will continue to leverage new technologies designed to help seismologists make more informed decisions than with just SCADA alone. Now, network operators can evolve and adapt their monitoring programs over time through the IoT with edge devices that allow third-party software applications to be deployed network-wide. This has not only opened new doors for software developers, but it opens up the opportunity for advancements in environmental monitoring to further improve natural event monitoring. Fast and accurate data transport from the sensor networks in seismic monitoring therefore requires robust and reliable technology that doesn’t fail in remote and sometimes harsh environments. RF technology, for example, is advancing to help field crews make intelligent decisions and closely monitor the elements that can help delivery early warning for natural events. Find us at JavaOne this Week
Top Industrial IoT News Roundup
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 bonus update at the end of the news roundup. Deloitte: End-to-End Automation Real Value of IIoT Technology By @KarenBoman | Published on @Rigzone “Industrial Internet of Things (IIoT) technologies such as machine learning and drones are now available, but the real value lies in linking these technologies together to allow for end-to-end automation, a Deloitte executive told attendees at the Internet of Things Oil and Gas Conference 2016 Wednesday in Houston.” Is Now the Time to Apply Fog Computing to the Internet of Things? By Dr. Vladimir Krylov @Artezio | Published on @IoTEvolution “With fog computing, latency is minimized if one uses fog nodes for data analysis without sending it to the cloud. All event aggregation in this case has to be performed in the distributed architecture deployed in the network where devices (sensors) and fog nodes are located. Thus, fog architecture moves the capacity question from the cloud to the network implementation.” Manufacturing firms investing in IIoT data analytics – even if other areas are slowing down By @James_T_Bourne | Published on @IoTTechNews “The research, the findings of which appear in the report ‘Data’s Big Impact on Manufacturing’, found that of the more than 200 North American manufacturing executives polled, 70% said investing in data analytics would lead to fewer equipment breakdowns, while less unscheduled downtime (68%), unscheduled maintenance (64%), and fewer supply chain management issues (60%) were also cited.” Go Ahead, Fly a Tiny Drone. The Man Doesn’t Have to Know By @luxagraf | Published on @WIRED “THE WILD WEST days of drone flight came to end earlier this year when the FAA began requiring that pilots register their aircraft with the agency. If you want to use your Unmanned Aircraft System (as the FAA calls them) for anything remotely commercial, you’ll need to go a step further and pass a test.” Could Optical Fibre Sensors Save Lives? By @loctier | Published on @euronews “This edition of Futuris looks at how optical fibre sensors could help monitor the stability of roads, buildings, bridges and other constructions – and save lives.” Discovering Value in the Age of IIoT By @lasher64 | Published on @automationworld “The solutions of tomorrow will be much more integrated between implementation tiers on the plant floor to the enterprise and beyond. Therefore, it is imperative that these solutions give strong consideration to network architectures and cybersecurity. As we continue to move forward, you will hear more about operational technology (OT).” IoT is not about radios; it’s all about data By Alan Carlton | Published on @NetworkWorld “The initial challenge for the Internet of Things (IoT) was how to provide physical connectivity of small and often remote devices to the Internet. This issue has basically been solved with the plethora of wireless connectivity solutions. The real challenge for IoT is data organization, sharing and search on an unprecedented scale.” BONUS NEWS This week, FreeWave announced a contest at a chance to win FreeWave’s award-winning WavePro WP201 shorthaul and Wi-Fi solution. Contest entrants must provide a high-level account of the application of the WavePro, along with a description of the need for the platform. Winners will be announced at the close of the entry period. To enter the contest, please visit: http://go.freewave.com/wavepro-network-giveaway. Submissions are due by September 30!