The Intelligent Edge: Bringing Transparency to the Factory with Lee Jaderborg (Part 2)

We’re back with our sixth installment of The Intelligent Edge, continuing our conversation with manufacturing engineering manager and quality manager, Lee Jaderborg. Didn’t get a chance to read Part 1? Catch up here! In our previous post, we connected with Lee to discuss his work on the ZumIQ application environment and the purpose of intelligent monitoring. In Part 2, he continues the ZumIQ conversation on its applications, and noting what’s next for FreeWave and the IIoT industry. FreeWave: You previously told us about how ZumIQ can help capture data and translate it visually. Why is this important? Lee Jaderborg: This gives a view of the manufacturing floor you can’t get by looking down the production line. It determines the collective state and efficiency of each part in the system. We’ve been trying this out on a few of our SMT, or pick-and-place, machines. We looked at the historical data on the machines’ part usage to see what parts and reels could be adjusted or replaced for increased efficiency and production capacity. We had perceptions, but didn’t have any data points for how much change this would result in. And it’s difficult to act on a perception because you don’t know how accurate you are. We realized by taking an in-depth look at the data output throughout the day, the machines weren’t running to their full potential. By changing the way SMTs operated, we saw a 10% increase in initial capacity, but without the data we wouldn’t have reached the benefits. FreeWave: What’s the “perfect storm” situation in which ZumIQ’s capabilities could be utilized fully? Lee: It could apply to any place where things go wrong and have a severe impact on people. Nuclear power plants, wastewater treatment plants and the water supply coming out of that, oil and gas refineries. Especially for oil and gas, you need sensors to detect leaks. You see disasters caused by natural gas and find out there was no sensor to detect a methane leak. Companies need to introduce networks of sensors that can relay data to an app environment like ZumIQ to monitor and track things like leak pressures, so in case something goes wrong, it can send out alerts and auto shutdown systems before anything bad happens. FreeWave: What excites you about the future of FreeWave Lee: There’s a lot of opportunity and paths we can take with our new products we’re developing. We have a lot of work ahead of us, especially as we look to upgrade our networks and existing technology to adapt to the future of IIoT. It’s exciting because we’ll be working on our newest innovations alongside our legacy products and seeing where gaps may exist. That’s the biggest puzzle to solve – we’re dealing with technology with new capabilities and parts, like radio-frequency identification on chips, compared to older technology which in some instances required tuning to get the correct signal. FreeWave: What about the Industrial Internet of Things as a whole? Lee: I think the promise of sensors and the data they transmit is exciting. If you think about it, there’s a piece of equipment in every place in the world – highways, oil and gas, utilities, etc. – that’s measuring something. A lot of major companies are starting to head in the direction of wanting to get data sooner than later to be analyzed and acted upon. Increasingly bringing intelligence to the edge of the network lets you decide and modify in real time; it lets you make important decisions. FreeWave: Any final words of wisdom? Lee: Our operations director likes to say, “Just because something’s the way it is doesn’t mean that’s the way it should be”.  I think that can be highly applied not only in business and technology, but also in one’s personal life. You have to continue learning and innovating or else you’ll fall behind. ______ Interested in what our other experts have to say? Read the first, second, third and fourth installments of The Intelligent Edge. We’ll be back later this month with more insights and interviews with our team!

The Intelligent Edge: Bringing Transparency to the Factory with Lee Jaderborg (Part 1)

“Quality is never an accident. It is always the result of intelligent effort” – John Ruskin. This rings true in the world of IIoT. For Lee Jaderborg, who wears several hats at FreeWave, from engineering, to quality management and process development, the concept of intelligence-driven quality is what inspired him to learn everything he’s accomplished in his 40-year career, as well as what he’s brought to the future of the factory floor. In our fifth installment of “The Intelligent Edge,” we connected with Lee to discuss his work on the ZumIQ application environment and the purpose of intelligent monitoring. FreeWave: Lee, tell us about your role at FreeWave. Lee Jaderborg: Sure! I don’t have one specific job; I wear five hats. Coming up on my fourth year at FreeWave this April, I’m the manufacturing engineering manager, quality manager, sustaining mechanical support, and I oversee process development and design for new products. I also write SQL for our databases. I manage the procedures for a Printed Circuit Board assembly and Surface Mount Technology (SMT) manufacturing line, ensuring the entire process flows through production to the backdoor to ship. I also handle statistical process control and root cause analysis throughout the manufacturing process, all while monitoring for major operational KPIs. FreeWave: Was IIoT operations always your focus? Lee: No, I began college at age 17 as a drama major. Everything I’ve learned about engineering and management since then has been self-taught. During and after college, I worked in various engineering-type jobs, like designing tools to fabricate jet engine exhausts and helping build Colorado’s Eisenhower Tunnel. Along the way, I became exposed to SQL and got a master’s certificate in 6Sigma for project management. Continuous learning has helped advance me to where I am now. FreeWave: What are you currently working on? Lee: Optimizing FreeWave’s ZumIQ for better data visualizations on the manufacturing floor – a major focus at last year’s annual IMPACT Manufacturing Summit. A panel, which included the director of manufacturing for Rolls Royce, discussed transitioning their workforce to better accommodate millennials, who learn better with visual feedback. So, they put an IO on a light stack – like a stoplight that tells you whether a machine is ready – to give a real-time view of various data points. FreeWave: How exactly would they capture that data? Lee: This is where something like ZumIQ comes in – you need to tie into analog signals to continuously record this data. You do this by having the light stack’s sensor communicate its status to an app programmable device, whose data is then collected by the ZumIQ app environment. ZumIQ gathers and tracks data over time to determine both real-time status and historical trends. This gives a view of the manufacturing floor you can’t get by physically looking down the production line. It determines the collective state and efficiency of each part in the system. Interested in more insights by Lee? We’re continuing the conversation for the next Intelligent Edge blog.

IoT News Roundup: Where is IoT headed?

The holiday season is fast-approaching and it seems there’s always a never-ending list of tasks that need to be completed every year. Just like the holiday checklist, tech in the IoT space seems to be ever-changing and expanding. As tech leaders and innovators we understand that life is hectic and unpredictable, but to make sure you don’t miss a beat, check out this week’s line-up for news in the IoT industry. Previously, we explored “How IoT is Saving Lives” when two massive natural disasters struck the U.S. In this post, we’ll ask the question, what’s next for the world of IoT/IIoT? Take a look at some of the top stories from the past couple of weeks: Forrester predicts what’s next for IoT In this recent post from @NetworkWorld about Forrester Research’s predictions post, Fredric Paul, @TheFreditor, asks the question on many people’s minds: Where is IoT headed? Among many points Paul makes in his article, one points out how IoT is likely to become more specialized in the coming year, moving away from generic hardware and software into platforms designed for specific industries. So-called “design and operate scenarios” will let IoT developers focus on the attributes that matter most to their own industries and use cases. Smart networks must evolve for mission-critical environments   From @embedded_comp, Michael Ulch explains how the IoT industry has been flooded with advances in smart home automation, self-monitoring appliances, and connected security systems. All of these facets are important for the IoT existence but Ulch asks the same question as other reporters: what is next for IoT? Ulch believes that some of the greatest potential of the IoT is in the industrial and manufacturing realm, where Industrial IoT (IIoT) has the promise to monitor systems for preventative maintenance and boost energy efficiency and workplace productivity. However, Ulch says, successfully scaling from the smart home to the smart factory will require overcoming a number of technical challenges.   How manufacturers are benefitting from the IoT revolution In this @NetworkWorld article by Majid Ahmed, it’s made clear that few people stand to benefit more from the IoT revolution than today’s manufacturers. Ahmed states in his article that whether it’s harnessing the power of data and metadata to make wiser decisions, or developing new and more efficient technologies capable of saving energy cost, the IoT is fundamentally reshaping how manufacturers produce the goods we use in our everyday lives. Businesses not aware of IoT issues This article from @techradar by @maxcooter ‏ briefly starts off by referencing an article from January, 10 surprising trends in the IoT for 2017, then Cooter continues, stating that Cradlepoint survey finds lots of interest in technology deployment but lack of security awareness. Cooter points out that, from these findings, IoT-using companies should be prepared to have a thorough overhaul of its infrastructure before deploying the technology. Despite the serious concerns about security, most are not having a second thought about rolling out IoT. Will this security breach take down most companies? Time will tell.   The Industrial Internet of Things is Here to Stay In this article from @cbronline (Computer Business Review), author David Stain discusses how manufacturers are welcoming in a new era of productivity by enhancing Industry 4.0. The IIoT is at the heart of this transformation. Stain explores how a company’s success is often linked to its efficiency, hence visibility, across the plant floor, and how extending into the supply chain is a necessity. To keep pace with this competitive environment and the ever-increasing customer demands, every stage of the manufacturing process is facing the digital revolution. Final Thoughts: Virtually all industries and workers are benefitting from the technological revolution brought about by the inception and ensuring growth of IoT. Every industry does need to be cautious of the security threats that IoT comes with. Knowing this, we will still continue to see the growth for IoT especially in the manufacturing and Industrial industries.   Be sure to stay tuned to our blog for the latest industry news and to read more about our own insights into some of these major trends.

Looking Ahead: Kicking Off 2018 with Industrial IoT

As we face a quickly approaching 2018, it is shaping up to be a busy year!  We are building a line-up of presentations at leading industry conferences to share our findings, innovation and expertise on the trends we’re seeing around Industrial IoT, the intelligent edge, and all the markets we have a presence in – oil/gas, military, unmanned systems, government, and utilities (to name a few). This year, we will be kicking off 2018 with a presentation at an Industrial IoT event in January hosted by TMC and Crossfire Media. This week, show organizers released details about the Industrial IoT Conference program being held January 22-25, 2018 at Disney’s Contemporary Orlando, Fla., and we are thrilled to be a part of the event. Here’s what we learned from their news: “The event will focus on the IoT technologies and solutions increasing the productivity and efficiency of manufacturing and production processes. The Industrial IoT Conference is collocated with IoT Evolution Expo which in its 19th iteration is the leading education and networking forum for the enterprise looking to understand how to develop and implement IoT Solutions.” The event is also going to offer a blend of keynotes, breakout sessions, panels and special events. FreeWave to Present in Orlando During the event, Scott Allen, the CMO of FreeWave Technologies, will have the pleasure of joining the Industrial IoT (IIoT) breakout sessions as a panelist in “IoT on the Factory Floor.” The session, featuring top IIoT experts and business leaders, will look at how IOT is being deployed on the factory floor and how it improves the management of production. Panelists will also answer important questions, such as: Have we gotten to the point where Programmable Line Cards are taking advantage of connectivity or are gateways making human intervention easier? Where is the promise of IoT for manufacturing being delivered and how? See the full event schedule here. Manufacturing & IoT in the News Recent reports indicate IoT in the manufacturing market is expected to grow at a CAGR of almost 30 percent. As manufacturing businesses work to reduce costs and innovate, while dealing with a transitioning workforce, the report predicts rapid growth in IoT investments. A recent Forbes article highlights the opportunity for app development as many in the manufacturing industry head towards retirement. As indicated by the rapid adoption of IoT, the “IoT on the Factory Floor” session in Orlando will certainly offer timely insight. We recently covered some big headlines in manufacturing, read the blog post to see which news stories caught our attention: https://www.freewave.com/iiot-headlines-manufacturing-big-data-predictive-maintenance-remote-access/ As we head towards the new year, we are in awe of the innovation and disruption that we often found ourselves in the middle of in 2017. We have some bold thoughts on what’s to come for IIoT in 2018 – so keep an eye out for that! Be sure to look for us in Orlando if you’re attending the Industrial IoT conference in January! We hope to see you there.

Manufacturing Change through Big Data, Predictive Maintenance & Remote Access

Although the manufacturing industry has seen some troubling times over the past few decades, new technologies are helping it make a resurgence. So what has manufactured this change, you might ask? The rise of automation and robotics across many sectors, and perhaps one of the most significant industrial impacts since the assembly line was created – the Internet of Things. IoT has given rise to advancements in sensor technologies and M2M (machine-to-machine) communications, along with edge computing analytics and business intelligence from big data. These new methods are fundamentally changing the way goods are designed and produced. We recently wrote a blog highlighting some of these impacts and challenges that coming along with it. Below, however, we’ve gathered a handful of recent industry news articles for you to explore and learn how the industrial IoT is changing the manufacturing landscape as we know it. The Hunt for Zero Defective Parts Per Million When it comes to highly scrutinized and regulated industries, automotive manufacturing is near the top of the list. Understandably, then, automotive manufacturers are quite keen on the pursuit of zero Defective Parts Per Million (DPPM). This recent article from Manufacturing Business Technology discusses the driving forces behind this movement, namely the advent of autonomous vehicle technology. While on-vehicle computer systems of the past may have controlled entertainment or emissions systems, in the near future almost every vehicle system will rely on a piece of silicon in one way or another. With the stakes higher than ever, the advanced capabilities of the IIoT are coming into play to drive manufacturing processes. Moving Outside the Plant: Remote Access Is Quickly Evolving Just a handful of years ago, remote access technology was not a standard. However, as noted in this article from Automation World, a recent survey discovered that 72% of respondents are using remote access to monitor plant equipment and data. While the usage of remote access does vary by industry, the growth in this segment of the IIoT has been strong and shows no signs of slowing — and the applications for remote access are diverse. As Matt Wells, GM of Automation Software for GE Digital said, ““Anyone dealing with distributed fleets has a strong demand to be able to see, manage or control it from a remote spot,” he explains. “It all comes down to the difficulty of accessing that remote asset.” Big Data and Shale 2.0 As oil prices seem to have stabilized (for now) at a lower new norm, oil companies are having to get creative to keep margins healthy and profits rising. One of the ways companies are accomplishing this is through Big Data and the IIoT. This article from E&P Magazine highlights some of the challenges and hesitancies that are emerging within the industry, often fueled by cultural difficulties. However, Mark Slaughter — longtime Halliburton employee and current venture capital advisor — believes in just 10 years, smart analytics will give oil companies the ability to produce the most economic barrel of oil. Preventing Machine Failures through A.I. Automotive recalls are a massive expense for car manufacturers, not to mention the significant public relations disaster that can arise. In an effort to avoid this expensive and unseemly events, automotive companies are turning towards next-gen analytics and automation technologies to help prevent this issues before they become widespread problems. This article from IT Brief states that a recent McKinsey study shows that predictive maintenance could save global businesses an incredible $630 billion a year by 2025. In a world where recalls are pricey PR nightmares, this is music to automotive manufacturers ears. The IIoT’s Role in Product as a Service and Predictive Maintenance Models This recent article from Plant Services explores how the IIoT is changing the way equipment manufacturers and service providers approach their business, particularly through Product-as-a-Service (PaaS) and Predictive Maintenance (PdM). PaaS is the idea of charging for the output of a piece of equipment, rather than an upfront fee for the equipment itself. For example, the volume of compressed air generated by an air compressor. With PdM, advanced analytics are used to monitor the various systems in a piece of equipment, and diagnose and fix potential issues before they become larger (and more expensive ones). As the IIoT continues to grow, and more applications become mainstream, it will be interesting to see how manufacturing processes adapt and change. What new manufacturing promise do you think the IIoT holds? Where industry do you see IIoT gaining a foothold in next?

Manufacturing in the Age of IIoT

Few industries can claim such a foundational impact on the United States as the manufacturing industry. Modern manufacturing began with the birth of the assembly line and the transformational effect it had on the automobile industry. Companies then adopted that approach to product manufacturing and logistics. The early phases of the next generation of manufacturing appeared as machine-to-machine (M2M) communication, a forbearer of the concept behind the Internet of Things (IoT). Eventually, IoT became so broad that specific designations were needed to differentiate between the consumer and industrial side of things, thus paving the way for the Industrial IoT (IIoT). Today, manufacturing companies, while often on the leading edge of automation technology, are still scrambling to adapt to the explosion of sensors, communication platforms, big data and high-speed analytics to maximize efficiency and future-proof their products or designs. Some companies are touting the idea of retrofitting – a concept that has existed for some time – but some plant engineers may be wary of the need for continual updating to a system that is bound to become irrelevant at some point. Still, the process can be relatively painless, and is quickly becoming necessary, as Plant Magazine notes: … Most food manufacturing and processing plants have motors powering essential equipment such as mixers, conveyors and packaging machines. But they’re just motors. They don’t play in the same league as other intelligent devices. With years of service to go, it’s difficult for plant managers to justify replacing motors that work just to make an upgrade with smart features. But motors can connect to the IIoT without a complete overhaul. Instead of investing in new, more intelligent/smart equipment, consider investing in sensors that provide similar functionality to connected devices. Smart sensors attach to almost any standard low-voltage induction motor. Sensor technology is sophisticated enough to be small, functional and energy efficient. For certain kinds of manufacturing plants, a complete overhaul may not be necessary, and a ‘simple’ retrofitting process might easily solve the first part of the problem. The second part of the problem, or challenge, is that along with smart hardware, plants also need the software and data processing capabilities to keep pace. Some plant engineers are solving these challenges by deploying programmable radios capable of hosting third-party applications so that the data can be transmitted in smaller, highly specific packets, making the transport both fast and easier to push into predictive analytics platforms. From there, software companies are building in the ability to process data in the cloud, essentially running all critical data and software operations through either a fog or cloud computing process. Cloud software services have the potential to be highly customizable based on the needs of the manufacturing plant. These technologies are good examples of the ongoing convergence between traditional information technology (IT) and operations technology (OT) needs in industrial markets. Currently, the manufacturing industry is sitting in an interesting spot: leaders in the M2M world, but still adapting to the IoT world. Where the industry ends up in the next 10 years could be a strong indicator of the economic and financial temperature of the domestic and international marketplaces.

2017 Analyst Predictions – Industrial IoT

Predictions can be enlightening as we round out the end of the year, and industry analysts covering the Industrial Internet of Things (IIoT) have begun forecasting what to expect in 2017. In the ever changing digital business landscape, companies need to keep a pulse on the technology and regulatory environments to have direction on where to focus their efforts. Over the past few years, IIoT has taken on the shared title of industry 4.0, as new ways of connecting businesses and consumers impact systems infrastructures and technology integrations across many, if not all. business lines. In honor of reigning in 2017 as a strong year for the industrial internet, we have dedicated this week’s round up to highlight some of the top IIoT analyst predictions in the coming year. Gartner Predictions: Surviving the Storm Winds of Digital Disruption  By  Daryl C. Plummer, Martin Reynolds, Charles S. Golvin,  Allie Young, Patrick J. Sullivan, Alfonso Velosa, Benoit J. Lheureux, Andrew Frank, Gavin Tay, Manjunath Bhat, Peter Middleton, Joseph Unsworth, @rayval, @DavidFurl, Werner Goertz, @JCribbs_Gartner, Mark A. Beyer, @Alex42Linden, @noahelkin, @nheudecker, Tom Austin, @mc_angela, Fabio Chesini, Hung LeHong | Published on @Gartner_inc “Digital business innovation creates disruptive effects that have a wide-ranging impact on people and technology. However, secondary ripple effects will often prove to be more disruptive than the original disruption. Digital strategists must actively identify secondary effects when planning change.” Gartner Also Suggests That its Time to, Harness IoT Innovation to Generate Business Value By @chetster | Published on @Gartner_inc “The Internet of Things is moving beyond concepts and trials, and has begun to deliver business benefits across a range of industries. Studying innovation and how early use cases have fared will help CIOs and IT leaders capture business value.”   Forrester Predictions 2017: Cybersecurity Risks Intensify By @AmyDeMartine, Jeff Pollard, @infosec_jb, @acser, @heidishey, Christopher McClean, @jz415, @merrittmaxim, @sbalaouras, Trevor Lyness, Peggy Dostie | Published on @forrester “The connected world has arrived; we live and work in it. In this new reality, the next 12 months will see battles rage that will determine the amount of control individuals have over their own data and right to privacy as well as the offensive and defensive responsibilities of our governments. This report guides security and risk (S&R) pros through five predictions for 2017 that highlight escalating ramifications of poor security hygiene and how to mitigate potential damage.”   Ovum 2017 Trends: Radio Access Networks By @sonixag | Published on @OvumICT “This is part of Ovum’s 2017 Trends to Watch series. This report looks at what Ovum believes will be the major trends next year when it comes to the radio access network (RAN) market.The RAN market remains a challenging area and the need for spectrum remains a constant concern. RAN vendors are looking for new growth areas, and everybody wants 5G and they want it now. All of these factors are driving market trends.”   IDC 2017 Forecast: Manufacturing Worldwide By @kimknickle, Simon Ellis, @hashtonIDC, Christopher Holmes, @jeffhojlo, @ivanoortis, @VeronesiLor, Jing Bing Zhang | Published on @IDC “This IDC study provides manufacturers with the top 10 predictions and underlying drivers that we expect to impact manufacturers’ IT investments in 2017 and beyond. Technology leaders and their counterparts in the line-of-business (LOB) operations can use this document to guide their IT strategic planning efforts. According to Kimberly Knickle, research vice president, IT Priorities and Strategies, IDC Manufacturing Insights, “Technology continues to reshape the relationship between business and IT for innovation and digital transformation. Manufacturers want to work smarter using digital technologies in their products and processes and throughout the value chain. Our predictions create a framework for IT and line-of-business executives to plan and execute technology-related initiatives in the year ahead.”   As we conclude our highlights this week, we should realize these predictions are just the tip of the digital iceberg anticipated for 2017. The future could see more intelligent technologies communicating in industry 4.0 with machines processing more data. We could also expect to finally dig deeper into our IoT connected understanding. All we can do is hold tight as the next corner of digital transformation unfolds.

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.

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 monitor events, fuse sensor data from a variety of sources, use local and distributed ‘intelligence’ to determine a best course of action, and then act to control or manipulate objects in the physical world, and in some cases while physically moving through that world.”  The research certainly backs recent claims that robotics are going to leave a significant mark on the IoT industry. Take a look at the key statistics that Forbes recently reported on Robotics: 4% of developers are building robotics apps today. 45% of developers say that Internet of Things (IoT) development is critical to their overall digital strategy. 4% of all developers are building apps in the cloud today. RF Technology in the IoRT World As the entire technology landscape changes it is more important than ever for RF technology to adapt in order to meet new industry demands. Manufacturers in the hardened, wireless communication industry have taken note and set their eyes on all things IoT by developing Sensor-to-Server (S2S) communication solutions. Some of these wireless IoT communication solutions providers are offering platforms to host third-party applications in addition to creating the communication links for devices. This is an entirely new class of wireless IoT communication solutions that has the staying power needed in the midst of technology evolution. Robotic IoT Future Some companies using wireless S2S solutions, have already begun to incorporate IoRT into their networks. Real-life use case examples of robotics for IoT networks that are in the works today include: Semi-autonomous robotic geophysical surveying platforms for detection of unexploded ordnance. With an S2S communication solution, this use case will provide real time kinematic base station GPS corrections and combined geophysical data to a mobile command and control vehicle for concurrent advanced data processing by rear support group linked by MiFi or Satellite communications. A ‘ship-to-shore’ link for an ocean going wave-powered autonomous robot. As robotics systems adapt to the new technology landscape, they will increasingly integrate with IoT networks. With these new advanced robotics capabilities, businesses will see new opportunities for automation and efficiency to further advance operations and will be able to leverage this new technology for competitive advantage.

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!

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