What’s New in IIoT
Industrial IoT (IIoT) is making waves as we inch closer to the end of the first quarter of 2017. Recently, Network World and Forbes, published articles exploring the proliferation of Smart Sensors deployed for Edge networks. We are starting to see more coverage addressing the big challenges of IIoT, as well as the big opportunities. Other, IIoT-focused publications continue to highlight the latest mega-trends and research from leaders in the IIoT trenches. Recent IIoT Headlines Four Artificial Intelligence Challenges Facing the Industrial IoT By @AAllsbrook | Published on @Forbes “Companies building IoT devices are solving this challenge by using gateways, also known as edge-based processing, to connect to cloud-based IoT platforms. This enables the machines to get data to the internet. However, connecting devices isn’t as easy as updating software; instead, it’s an investment in retrofitting old machines, replacing existing equipment, and enabling a workforce to leverage this equipment.” 5 Things to Think about for Industrial IoT Readiness By @ryan4francis | Published on @NetworkWorld “In order to achieve the full potential of the IIoT, the gap between these two cultures needs to be bridged so that the competing priorities of IT and OT are met. We’re beginning to see the emergence of “industrial technologists,” who bring a combined IT/OT perspective to the enterprise. These “industrial technologists” understand that for IIoT to be a reality, “always on” availability needs must be met. Because they live in both worlds, they play a key role in meeting both OT and IT priorities.” 3 Keys to Financial Success in the Industrial Internet of Things By @Scott_Nelson19 | Published on @CIOonline “One of the most frequent misperceptions about the IIoT is that it is all about the machines. Traditionally automation saves cost by reducing the number of people required to operate the line. The machines are important, but today operational improvement, particularly of legacy systems, comes from leveraging and facilitating human knowledge and action.” IoT Edge Shifts Data Gravity in the Enterprise By @AAllsbrook | Published on @iotagenda “But the internet of things is changing this gravitational constant in our technical universe. As IoT matures, the black holes of data gravity we have been placing into clouds will be ripped apart by millions of smaller data planets. These smaller planets will be located in our factories, warehouses, buildings, homes and everywhere else IoT runs to make data actionable.” Smart Grid: Overcoming Data Exchange to Increase Efficiency By @S_Allen_IIoT | Published on @SmartDataCo “As sensors bring connectivity to more endpoints than ever before, utility decision makers are able to obtain detailed data for Advanced Metering Infrastructure (AMI) and Distribution Automation (DA) networks. With rugged wireless solutions, the sensor data is readily available in real-time for IT decision makers. The unrestricted access to data from all network endpoints forces decision makers to shift their focus from Big Data to Smart Data – the data that matters most to the business. It also drives the need for real-time analytics in order to streamline operations. This not only simplifies the convergence issue, but it drives Smart Grid efficiency.”
Precision Agriculture Benefits from Rise of Next-Gen OEM Technology
Precision agriculture has long been one of the leading industries for deploying cutting-edge OEM technology. Autonomous vehicles, sensor systems and data-driven analytics are all examples of technology that the precision ag industry embraced well ahead of widespread adoption. Today, precision agriculture is responsible for a sizable portion of our national economy, and the accompanying technology appears poised to push management practices even further into the realm of the Industrial IoT. This week, we’re highlighting two tech trends driven by the growth of next-gen OEM technology and looking at the effect those technologies are having on the industry as a whole. Agriculture Drones Perhaps one of the most immediately obvious areas of development is the commercial drone industry – specifically, as it applies to its application in precision agriculture. Research and Markets announced last week that it expects the agriculture drone market to reach $3.7 billion by 2024 – a scant seven years down the road. The report cites innovations in GPS mapping, OEM systems that incorporate advanced analytics, and an increase in the automation of the agriculture process as driving factors in the expected market boom. On a Commercial Drones FM podcast, Thomas Haun, VP of strategy and globalization for PrecisionHawk, discussed the accelerated convergence of commercial drone hardware and software. He looks at drones as having the unprecedented ability to redefine and change the foundational verticals due to the innovative applications that are being enabled by advanced hardware and software. Even though precision agriculture has never been shy about leading-edge technology, drones may just upend the industry even more than most analyst originally predicted. OEM and IoT via Satellite Northern Sky Research recently looked at how OEM is intersecting with IoT powered by GPS and satellite technology. The report notes that most new installs of M2M and IoT technologies will be powered by precision GPS: This is a more data-intensive type of data gathering for Agriculture applications, where data points such as machine performance, moisture levels, pesticide levels and other characteristics are all harvested and optimized on a higher resolution coordinate system in the field, essentially, a real ‘smart farm.’ The deployment of precision GPS technology is a notable departure from the traditional meter-reading applications that have driven agriculture technology in the past. These new ‘real smart farms’ will have the ability to collect that data run real-time decision making powered by data analytics. The report also highlights the expected boom in partnerships with agricultural equipment manufacturers, driven mostly by the growth in the “number of OEM installs in farming equipment such as forklifts, tractors and dozers …” The result looks something like a smart network with proprietary third-party applications responsible for delivering automated, data-informed decision making in real time. Intelligence at the Farm’s Edge If the two trends mentioned above come to fruition, the precision agriculture industry will see a successful transition from ‘big’ data to ‘smart’ data. If programmable OEM technology can be integrated into new and existing farm systems, the industry will see intelligence and analytics being deployed closer to the edge – the point of data collection – than ever before. Drones are becoming critical tools of for data collection and asset monitoring, and as GPS precision continues the improve, the farming industry is poised to reap the benefits of increased data-driven intelligence.
Industry 4.0 Top News Roundup
Industry 4.0, another term being batted around for the Industrial Internet of Things (IIoT) to explain the next-generation of industrial manufacturing and a new data exchange paradigm, is bleeding into multiple industry dialogues to describe the new landscape of how things are being made. With all the hype surrounding the idea of a “smart factory,” it seemed fitting to turn our attention towards highlighting our top news being reported on Industry 4.0. Industry 4.0: the urgency of data standardization By @Antoine_Rizk1 | Published on @ManufacturingGL “Sometimes presented as the new industrial revolution, Industry 4.0, primarily represents an advance in production means and practices. Characterized by interconnected machines and systems, it involves making production and supply chains smarter in order to improve efficiency in resource allocation and increase agility in production processes.” Industrial Analytics Based On Internet Of Things Will Revolutionize Manufacturing By @LouisColumbus | Published on @Forbes “Industrial Analytics (IA) describes the collection, analysis and usage of data generated in industrial operations and throughout the entire product lifecycle, applicable to any company that is manufacturing and selling physical products. It involves traditional methods of data capture and statistical modeling. However, most of its future value will be enabled by advancements in connectivity (IoT) and improved methods for analyzing and interpreting data (Machine Learning).” Drones will transform the way food is grown next year By @Harri8t | Published on @CNBC “Drones are transforming agriculture — giving farmers new tools to supervise crops and check on fields from the air — and 2017 will be be a pivotal year for adoption, say industry experts.” US Manufacturers Too Slow to Adopt Industry 4.0: BCG Study By IW Staff | Published on @IndustryWeek “Nearly 90% of manufacturing leaders surveyed by BCG regarded adopting Industry 4.0 technologies as a way to improve productivity, but only about one in four see opportunities to use these advances to build new revenue streams. Many are pursuing isolated initiatives scattered throughout the company, BCG found in its new report, “Sprinting to Value in Industry 4.0,” without a clear vision and coordination from the top.” Embracing ‘Industry 4.0’ By @alansmurray | Published on @FortuneMagazine “There’s a interesting new report out from BCG this morning on “Industry 4.0” – the German’s preferred term for how big data, cloud computing, sensors, advanced analytics, augmented reality and improved robotics are dramatically changing the world of manufacturing (known in GE-land as the “Industrial Internet”).” As we conclude another round of top news, we hope you were inspired and informed about the latest in Industry 4.0. It’s clear that business digitalization will only continue to add more technology, whether that be IoT, sensors, cloud computing and other solutions. Our job is to be ready and informed about how tomorrow’s technology could help enterprise digital transformation today.
Data that Drives Electric Vehicles
There was a lot of hype surrounding electric vehicles when they first hit the market for consumers. Supporters saw electric vehicles as a key solution for battling gas prices and making a positive impact on the environment. Over the years, several countries throughout the world have incentivized the purchase of electric vehicles through subsidies available to both the car makers and the buyers. However, as we roll into 2017, sales are short of expectations in the U.S. Currently, we’re seeing only about 400,000 electric vehicles on the road. In President Obama’s First term, he said that he believed the U.S. could have one million electric vehicles on the road by 2015. When January 2016 hit, the estimate was looking like it could take up to another four years to accomplish the goal – especially with continuing low gas prices and troubled electric vehicle battery technology. To help further the push towards electric vehicles, the White House recently hosted an electric vehicle datathon to find and discuss what data would drive the deployment of more electric vehicles on U.S. roads. The event was co-hosted by the U.S. Department of Energy and four National Laboratories. The White House announced that electric vehicle experts, automakers, charging-station providers, cities and states collaborated with software-development and data-analysis communities as the group looked for answers to the electric vehicle challenges. Together, they worked to better understand how plug-in (electric) vehicles contribute to and help the environment and economy. They also worked to find out find out what it will take to make U.S. consumers more interested in purchasing electric vehicles. Electric Vehicles and the Right Data Electric vehicle manufacturers, well aware of the challenges and slow adoption, have also worked to provide U.S. citizens with appealing electric vehicle options. During the R&D process, these manufacturers are challenged with improving vehicles to increase purchases and usage in the U.S. Battery challenges aside, careful selection of communication technology is essential to improving data and performance of these vehicles. Without proper data collection and transport, vehicle performance cannot be analyzed and improved. One of the leading electric car companies uses Sensor-to-Server (S2S) solutions for RTK base station communications to improve data and correlation. As the Internet of Things (IoT) infiltrates more areas of our everyday life, S2S solutions designed to be robust and reliable in heavily industrial environments work as a communication solution for many industries across the board. From typical industrial environments like oil/gas and water/wastewater, to smart cities and the automotive industry and more specifically, electric vehicles. S2S solutions offer high-speed, long range connectivity with 900 MHz RF technology and they can support third party applications. As the electric vehicle industry looks to data for overcoming challenges, these solutions are designed to collect, protect, transport and control critical data from network end points all the way back to the server. Electric car manufacturers have a ways to go in terms of driving more adoption from consumers, but they have a nice selection of IoT and sensor-based technologies to help improve data and communications.
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.
Ships that Sail Themselves
Is it time for ships to sail off on a journey by themselves? As the Internet of Things (IoT) connects the world, while the robotics industry continues to innovate, man and machine are merging together like never before. Unmanned aerial vehicles (UAVs) have impacted a number of industries from agriculture to security. If recent news is correct, it won’t be long before autonomous cars are traveling roads alongside us. Now, organizations and government agencies around the world are actively working to bring autonomous vessels to our oceans. What can we expect from unmanned ships operating in our largest bodies of water? IoT and robotics are being considered for a variety of commercial and military purposes at sea. For most of the world, it seems autonomous ships are in the testing phase, but there are big plans in the works around the globe: The British engine maker Rolls Royce Holdings, PLC is leading the Advanced Autonomous Waterborne Applications initiative with several other organizations and universities. The company is eyeing a timeline of remotely controlled ships setting sail by 2030 with completely autonomous ships in service by 2035. The timeline will be heavily dependent upon automation technologies’ ability to carry large amount of data from ship to shore to ensure safe operations. Recently, the UK’s Automated Ships Ltd and Norway’s Kongsberg Maritime, unveiled plans for a light-duty ship for surveying, delivering cargo to offshore installations and launching and recovering smaller remote-controlled and autonomous vehicles. “This ship is considered the world’s first unmanned ship for offshore operations and is being eyed for many uses including offshore energy, fish farming and scientific industries.” In the U.S., the Navy has begun to consider autonomous ships for a number of applications, but is cautiously approaching these new technology advancements. According to National Defense Magazine, “The Navy for now appears to be in no hurry to pour big money into drone ships and submarines. And there is little tolerance these days for risky gambles on technologies.” However, the article acknowledges that robots at sea could help do the jobs that are dangerous or costly for human operators, such as hunting enemy submarines, detonating sea mines, medical evacuations and ship repairs. The European Union (EU) appears to have a vested interest in sea robotics. As infrastructure costs rise for improving rails and roads, they have begun to seek alternative ways to move large quantities of cargo. According to Maritime Executive they have, “had a long-term goal of making short sea shipping more competitive with road and rail transport, which is under stress from the transportation bottlenecks caused by increasing volumes of internal trade.” As the EU faces massive infrastructure costs to upgrade road and rail, there is increased attention and effort directed at the “motorways of the sea.” The Defense Advanced Research Projects Agency (DARPA) has been testing a robotic ship called the “Continuous Trail Unmanned Vessel,” and has been running sea trials on its radar system. The radar is fastened to a parasail that enables heights of 500-1,500 feet. These are just a few of the autonomous vessel projects in the works. In order for unmanned vessels to operate, it is clear the ability to transport data in massive amounts will play a critical role in the success and safety of those sharing the sea with autonomous ships. As technologies evolve to meet these big data needs, we can eventually expect to see more unmanned vessels in the sea, improving offshore applications, making human jobs safer, and creating new efficiencies for organizations looking to optimize international trade.
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!
Berg Insight: Bright Days Ahead For Wireless Automation
A recent report published by Berg Insight details the bright future ahead for Industrial IoT through the implementation of wireless automation technologies. Berg Insight senior analyst Johan Svanberg made note that higher levels of automation and IoT solutions enable “shorter lead times, lower inventories, increased throughput as well as more flexibility and the ability to respond faster to changing customer needs.” The wireless IoT device market is served by a multitude of players from various backgrounds including global automation solution providers, automation equipment and solution vendors, industrial communication specialists and IoT communication specialists. This new report from Berg Insight informs us that: 2015 estimate of wireless devices for industrial automation applications reached 4.8 million units worldwide. Wireless devices installed for industrial applications have a forecasted growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Key Findings from Berg Insight: Wireless connectivity is instrumental in the Internet of Things era and the use of wireless solutions in industrial automation is increasing rapidly at all levels of automation systems. Industrial automation systems utilize wireless communication to connect remote and local facilities and equipment to increase operational efficiency. A wireless automation system contains a mix of network technologies, equipment and systems including enterprise and automation systems, network equipment, control devices and field devices. The most common wireless technologies in industrial automation include cellular, 802.11.x Wi-Fi, proprietary unlicensed ISM radio, Bluetooth, various LPWAN technologies and 802.15.4 based protocols such as WirelessHART, ISA100.11a and ZigBee. Berg Insight estimates that shipments of wireless devices for industrial automation applications, including both network and automation equipment, reached 4.8 million units worldwide in 2015. Growing at a compound annual growth rate of 25.1 percent, shipments are expected to reach 18.3 million by 2021. The installed base of wireless devices in industrial applications is forecasted to grow at a compound annual growth rate of 27.7 percent from 14.3 million connections at the end of 2015 to 62.0 million devices by 2021. Wi-Fi is widely used for backbone communications as well as in monitoring and control applications within factory automation where Industrial Ethernet has got a strong foothold. Bluetooth is also popular – often as a point-to-point wire-replacement between for example a mobile HMI solution and a field device or control unit. 802.15.4 networks are often used to connect wireless sensors and instrumentation in process automation. Cellular connectivity is typically used for backhaul communication between plants, connecting remote devices in long haul SCADA applications and for third party access to machinery and robots. LPWAN technologies are increasingly used in certain low data, long range applications. Most of the major vendors of wireless IoT devices in industrial automation offer a wide range of devices with various wireless technologies in order to support many different applications. Key Takeaways, According to Berg Insight: Companies are now deepening the integration between industrial automation systems and enterprise applications and the promise of IoT is getting more tangible by the day. Large multinational corporations are beginning to systematically develop and adopt best practices to maximise the benefits of IoT technology in every part of their organisations. IT/OT convergence, smart factories, Industry 4.0 and the Industrial Internet of Things are concepts which are part of the ongoing evolution of industrial automation. Innovation in sensors, wireless connectivity, collaborative robots, big data and cloud solutions along with seamless exchange of information between devices, systems and people paves the way for improved performance, flexibility and responsiveness throughout the enterprise value chain. For more information, read the full report from Berg Insight.
IIoT Top News: UAS Cleared for Takeoff
UAS, drones or unmanned aircraft, no matter what you call them — this was their week. Our news stream was flooded with updates on the newly announced rules and regulations for commercial UAS from the FAA. So, naturally we have dedicated this week’s top news round up to highlight some of our favorite UAS stories. Here is a quick recap on the new FAA rules for UAS USA TODAY has broken out the top five things you should know about the new FAA drone rules. Take a minute and get caught up on the basics. For example, the UAS operator must have their drone in sight at all times while in the air, and you still can’t fly at night. https://youtu.be/G6NAFIRZLBw Summary of New Commercial Drones Rules The wait is over, as many commercial UAS operators found out this week. John Goglia, with Forbes, breaks out the FAA new Part 107 rules which states, “It will eliminate many of the most cumbersome and expensive requirements currently imposed on commercial drone operators including the requirement for a so-called 333 exemption, a manned aircraft pilot’s license, a visual observer, the requirement to hold a certificate of authorization and the requirement to issue a notice to airmen before each flight.” FAA Approves the use of Small Commercial Drones Michael Walton, with Government Technology, explains, “The FAA new UAS rules would effectively lift the lid on flights by other potential operators who have held off using the technology — real estate agents who want bird’s-eye videos of properties, ranchers who want to count cattle and a multitude of other businesses.” At Long Last, New FAA Rules for Drones Air&Space Magazine tells us the best part of the new UAS rules is that “The FAA dropped its initial recommendation that would have required commercial UAV operators to hold a pilot’s license, a stipulation that experts feared would have stifled the booming drone industry, which is estimated to generate more than $82 billion and 100,000 jobs over the next decade. We hope you have enjoyed this quick UAS roundup. Don’t worry, we aren’t heading into a Sci-fi movie yet; Amazon, Walmart and alike will still have to wait in the holding pattern for approval to utilize drones for domestic delivery purposes. Overall, though, it was a game-changing week for small commercial UAS user everywhere, and a small step in the right direction for drones to assist with all our future needs.
IoT Top News: Manufacturing Disruption
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 IT is defined by constant change and innovation, that’s why it’s not unusual to see industrial automation systems in service for decades at a time with little or no change.” Bringing Smart Technology to Old Factories Can be an Industrial-Sized Disruption It sounds amazing to have robotic arms working together with the Industrial IoT. The reality is manufacturing is being disrupted by the implementation of IIoT. Mary Catherine O’Connor with the Wall Street Journal reminds us that, “Often plant managers can’t tell which sensor will most accurately collect the data they want from a machine without a series of test runs—a time-consuming process.” Product-Development Strategies in the IIoT Disruption The key to succeeding with IIoT disruption will be to focus on the new innovation of both product and software for the industry. Machine Design reminds us that, “IIoT is a disruptive force that will shape product-development trends over the next decade and beyond.” Relying on CMM to Keep IIoT’s Disruption Positive All the talk up to this point has been about the negative disruptive impacts IIoT is having on the industry. IIoT has the ability to drastically change manufacturing with a positive level of disruption introduced on the shop-floor. According the the American Machinist positive disruption can happen, “By using coordinate measuring machinery (CMM), machine shops or other manufacturers are able to capture the precise details of the geometry or surface conditions of a workplace. Working within IIoT, those manufacturers then are able to share such data between machines, exchange information between facilities, or with customers or suppliers.” Now we would like to leave you with this quick excerpt from Kevin Ashton, a British technology pioneer who co-founded the Auto-ID Center at the Massachusetts Institute of Technology (MIT) and inventor of the term “the Internet of Things.” How the Internet of Things Disruption Gains Traction – Extreme IoT We hope you have enjoyed this closer look at the disruption Industrial IoT is bringing to the table and what steps are being done to allow more implementation across the industry. Let’s us know what disruption you have seen with IIoT.
