Smart Industry Crystal Ball Report 2021
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Technology REPORT 2021 Smart Industry Crystal Ball Report Predictions in a normal year are tricky. Predicting what is to come after a year of unprecedented volatility courtesy of a global pandemic is downright gutsy. But planning for next steps is wise, as is considering advice from experts in your field. Here find a collection of that advice…insights from dozens of industrial thought-leaders on what’s next, who’s involved, and what/why/how to charge into the new year with confidence. Sponsored by
Technology REPORT CONTENTS 2021 holds greater collaboration among OEMs, owner-operators, and analytics providers 4 Two visible changes we will see in the modern factory in 2021 10 Enterprise applications cross the generational divide to alleviate the workforce crisis 13 The future of field service 15 Edge computing will bring visibility to three areas of the manufacturing supply chain in 2021 17 Outcome-as-a-Service in the coming year 22 This is no time to let our guard down 24 IT/OT integration is critical for answering the $77 billion need for IIoT 28 www.S m a r t I nd us t r y.c om - 2-
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Smart Industry: Tec hn ol ogy REPORT 2021 holds greater collaboration among OEMs, owner-operators, and analytics providers By Joe Becker, Uptake vice president of global business development p In 2020, due to COVID-19 machine performance. As such, data integrity are issues that must and the demands of remote work, more OEMs will honor warranties be addressed. These pressures have we saw almost every business based on third-party analytics in forced open the door for digital accelerate their digital-transforma- the new year. transformation, but have left many tion journeys. organizations (built to operate and Leveraging data in operations SHARED INDUSTRIAL maintain their owned machinery) became paramount for OEMs CHALLENGES short on resources and capabili- and owner-operators. In 2021, Operators across heavy indus- ties to tap into their reservoir of Uptake expects to see growing tries face many of the same wealth: data. collaboration among OEMs, own- fundamental challenges—rising The wind-power-generation er-operators, and digital solution maintenance costs, greater regula- industry offers an illustrative exam- providers as analytics empowers tory compliance, a wave of retiring ple of this dynamic. Investment each market player to optimize workers, and the need to assure in renewable energy has expanded The pandemic had few benefits to manufacturing, but the successful adoption of remote work demonstrated a net cost savings that will make manufacturers more competitive. Expect remote work to continue, and to expand over 2021 and beyond. Remote workers can manage multiple projects, including some they were previously incapable of managing because of being locked down to one facility. Working remotely has made it enticing for future generations to enter the manufacturing sector since many don’t want to be tied down. Historically, manufacturing has been hesitant toward the remote worker; the pandemic has opened that window for a future workforce who’s overlooked this industry.” —Tyler Whitaker, L2L chief technology officer/chief operating officer www.S m a r t I nd us t r y.c om - 4-
Smart Industry: Tec hn ol ogy REPORT First off, manufacturers will be requiring even the most basic components, such as door switches or proximity sensors, to be smart or network-capable. From a process perspective, engineers are looking to harvest more data from individual components to support increasingly complex and delicate manufacturing processes. Smart components are also providing a significant cost reduction in machine construction and overall maintenance. With smart components on a network, replacement of failed devices is literally plug-and-play. Secondly, we are seeing increased use of AI to support new aspects of manufacturing processes. Using AI in the cloud to monitor and support manufacturing processes is nothing new. However, manufacturers are now starting to pull AI out of the cloud and push it onto the machine (the edge) in order to impact manufacturing in real time on a specific machine. Another recently innovated application of AI is for collaborative or adaptive safety. Various industries are exploring how to leverage AI with new types of safety-sensing technology to change the operation of a machine or robot based on the position and activities of the operator. Instead of having static hazard zones with fixed machine responses, these new methods will constantly redefine the hazard zones based on information from safety sensors and will adapt the operation of the equipment to protect operators. The goal is to have a more flexible workspace that lets operators shift production without having to stop the machines and reset the production lines.” —Todd Mason-Darnell, Ph.D. Omron Automation Americas marketing manager—services & safety www.S m a r t I nd us t r y.c om - 5-
Smart Industry: Tec hn ol ogy REPORT turbines under management for many operators; this investment has self-performing maintenance feasible for the first time, resulting in a decline in the OEM share of Entering 2021, we see an the market for turbine maintenance. important digital transformation As a result, precise performance around how the process industries benchmarking is increasingly manage the use and tracking of important to operators and OEMs mechanical seals. A major technology who are looking to capture as much used to seal rotating assets is the productivity from their turbines mechanical seal, historically treated as possible through cost-effective as a spare or consumable part. They maintenance—especially given the industry’s technician shortage. are frequently not tracked in an EAM or CMMS. To track a mechanical DIFFERENT AND seal in a CMMS or EAM, the seal REINFORCING ROLES should be entered as a rotating OEMs have pursued connectivity asset. Its removal for rebuilding on assets like turbines, trucks, and or repair should be noted in the pumps—whether through native program so that the mechanical edge devices, embedded software, seal can be tracked in the software. wireless connectivity or cloud In addition, some mechanical-seal software—to differentiate their manufacturers have a barcode/app machine offerings and enable IT/ system to aid plant teams in tracking OT convergence for their long-es- mechanical seals and managing tablished customer relationships. their inventory. The data from this Operators, eager to stem rising system may be uploaded to the costs and build out internal best EAM or CMMS. The information and practices for maintenance, have history gained will be the building shown an appetite for analytics. blocks of more successful seal Many have various OEM rela- deployment, more efficient inventory tionships and have reached out to management, and ultimately, third party specialists to help clean, improved rotating-asset reliability.” compare, and analyze data from mixed assets to provide indus- —Chris Wilder, Sealing Equipment try-standard recommendations on Products Company, Inc. (SEPCO) CEO how best to operate and maintain their equipment. Themselves overstretched to pro- vide digital solutions, but wanting www.S m a r t I nd us t r y.c om - 6-
Smart Industry: Tec hn ol ogy REPORT COVID=cloud. This shouldn’t be the first time you read or heard that expression. For many reasons—ease of access by remote employees, time to value for new solutions, and ability to bridge IT and OT investments—end users ramped their cloud investments in 2020 and jettisoned old timelines for cloud adoption. Cloud computing was in fact the biggest winner of the year, if that can be said during a pandemic that has killed so many and cost so much in jobs and hope. For example, AWS revenue is now $49B and growing 29% year over year. AWS revenue, in other words, is about the same as Emerson’s market cap, or within shouting distance of the combined market value of Rockwell, PTC, and AspenTech. In 2021—for as much as we can predict—COVID might slow down, but probably not cloud acceleration. The genie is out of the bottle and isn’t going to be put back in. Cloud deployments and ‘workloads,’ which are how cloud companies refer to the categories of tasks customers do on the cloud (such as storage, compute, running ERP systems) are going to continue growing and will spill over with regularity into the manufacturing side of organizations. For plant managers or executives that haven’t met a cloud vendor or considered how the cloud will benefit their efforts, they will in 2021. Workloads for manufacturing like cross-plant rollups of data, advanced analytics, machine learning and setting up virtual operating centers that are now pilots or only deployed in forward- leaning firms will become more commonplace. Another example is re-platforming existing manufacturing workloads: both MSFT and AWS would be happy to discuss how your OSIsoft PI system could be run in their cloud vs. in your own IT data center. Whereas the cloud once targeted IT workloads, the impact of COVID=cloud is many workloads that have remained on-premise will be cloud hosted within a year. No, that doesn’t mean DCS and real time or close-loop processes, not yet anyway. But the burden of proof will shift to those who argue for keeping compute resources on premise, versus the other way around.” —Michael Risse, Seeq chief marketing officer and vice president www.S m a r t I nd us t r y.c om - 7-
Smart Industry: Tec hn ol ogy REPORT to ensure owner-operator satisfac- tion as analytics drives efficiencies and productivity, OEMs will call The circular economy is putting on these same specialists to mon- itor asset conditions and validate pressure on companies to re-examine requests for maintenance. This is their business processes; not only especially important for customers to improve quality and profitability, running mixed fleets. but because an efficient supply Since analytics solution providers chain consumes less energy, uses span specific use cases from differ- fewer resources, and produces less ent OEMs and across industries, waste. In short, gearing production the scale, scope and indepen- toward sustainability is just good dence of third-party analytics business for manufacturers. have proven compelling to both heavy-equipment operators and Beyond processes, an increasing manufacturers. More cost-effective number of environmentally aware warranty terms that reflect current manufacturers are looking at their plants and future operating conditions are and fixed assets to find ways of creating unlocking significant value for both closed-loop operations. By upgrading or owner-operators and OEMs. tuning plants and equipment, companies can optimize their use of fossil fuel, THE JOINT ANALYTICS eliminate waste, and reduce pollution. APPROACH I believe that in 2021, we will Solution providers will fill the analytics gap in enterprise digital see a major acceleration among transformation and build on the manufacturing companies to find new subject-matter expertise of their or reinvent existing processes that will industrial counterparts. The adop- help them adapt their business to the tion of an accessible, scaled form circular economy. This transformation of industrial analytics from a third will create ripple effects well beyond party relies on the continued shar- the manufacturing sector: consumers ing of equipment data between the and the environment stand to benefit parties. And as heavy industries from more efficiently produced goods, scramble to cover the total cost of while enterprise-technology vendors machine ownership end-to-end will have to rise to the challenge of in the age of connectivity, the creating business software that can bottom-line impact of machine handle a circular business model.” analytics promises more direct col- laboration among operators, OEMs —Colin Elkins, IFS vice president of manufacturing and solution providers. p www.S m a r t I nd us t r y.c om - 8-
Smart Industry: Tec hn ol ogy REPORT Cybersecurity: Security features will become a big differentiator between automation platforms in the future. IT groups will increasingly scrutinize traditional PLC & IDE’s norms, and question why these systems do not support the same level of security expected in IT based infrastructure. Forward-thinking automation manufacturers will continue to blur the lines between IT/OT by adopting open-source software wherever possible, utilizing trusted computing chips, and supporting containerized applications and certificate signing of all software deployments. Software development: The army of new computer-science and future- automation programmers that learned to program with Python & JavaScript will naturally gravitate away from traditional IEC 61131-3/ Ladder-logic based programming and move toward platforms that allow them to program in a modern way. In the future, many will learn to program higher-level languages by watching YouTube and utilizing online websites like Code Academy. Ultimately, industrial-control systems will benefit from open-source software libraries and from better change-control practices that are inherent with software repositories like GitHub. The new tools and vast libraries available will result in more rapid development cycles and cleaner code with better documentation. Communication protocols: MQTT will begin to replace many traditional brownfield communications protocols as hardware vendors begin to offer devices with encrypted TLS data payloads over lightning-fast network connections. Integrating a drive with a PLC, for example, will be as simple as subscribing to the drive’s topic and parsing the namespace with all its metadata. This will allow for seamless integration with cloud platforms and their powerful digital-twin capabilities. Users in the future will bemoan having to use antiquated protocols such as Modbus/TCP; the notion of a gateway will also become unnecessary and redundant. Advancements in microprocessors, especially embedded ARM varieties, will allow for computing at the edge that few could have predicted. These low power (yet still powerful) chips will make all devices smart, and encrypted MQTT is the obvious protocol of the future.” —Kurt Braun, WAGO IIoT market specialist www.S m a r t I nd us t r y.c om - 9-
Smart Industry: Tec hn ol ogy REPORT Two visible changes we will see in the modern factory in 2021 By Lawrence Whittle, Parsable CEO p Despite the challenges the past pivots in production. The ability Gone will be the six-inch paper year has created in manufacturing, to rapidly onboard new workers, binders—they’ll disappear and that it may have accelerated some of the quickly adjust for new processes, will bring a new era in manufactur- key changes we can expect to see and roll out new procedures across ing that is far more agile. on the plant floor in 2021. teams and sites has been an enor- To start, technology and soft- mous challenge for manufacturers MOBILE TECHNOLOGY ware will continue to rapidly still stuck on paper. WILL BE IN THE HANDS transform the industry. In 2021, In 2021, manufacturers will OF EVERY WORKER I predict that the gains in pro- finally say good-bye to paper for Another major shift will be the ductivity, quality and safety due good and replace it with digital democratization of technology; every to software will be immediately tools that enable workers to ramp frontline worker will have access to obvious to the human eye, and will up productivity and help businesses digital tools that help them be safer physically change how work gets respond quickly to new trends. and more productive. If 2020 has done on the factory floor. PAPER WILL MAKE AN EXIT Paper’s days are numbered. His- Machine learning and AI will torically, the manufacturing world expedite decarbonization in carbon- has run on paper-based systems heavy industries. Warehouse managers for training, record keeping and will implement mobile edge computing task management. However, the to keep up with 50% more orders as challenges of COVID-19 in 2020 a result of current and post-COVID have exposed the inefficiencies online-shopping trends. Automated with using paper-based procedures safety monitoring will save businesses for any work on the plant floor. millions in workers’ compensation Among many downsides, paper costs. Increasing use of video and other reduces agility and can’t be updated high-resolution, high-bandwidth sensors in real-time when there is a better will increase demand for edge AI.” way of performing the work, or when standards and rules change. —Sastry Malladi, FogHorn CTO covering Pandemic-induced swings in IIoT, AI, and edge computing supply and demand require quick www.S m a r t I nd us t r y.c om - 10-
Smart Industry: Tec hn ol ogy REPORT taught us anything, it is that many Frontline factory workers will Industry 4.0 will not just be frontline workers were not always increasingly be connected, digitally, reserved for machines. Successful equipped with the tools and technol- through hand-held mobile devices organizations will look at 2021 as ogy to stay safe on the job, or do their and tablets that enable them, a time to reset and build the right jobs effectively in times of uncer- through easy-to-use software and foundation for digital transforma- tainty and constraint. Changing applications, to do work effectively tion—and that foundation must this reality for workers will be top of and in compliance with standards, include empowering their human mind for leaders and will become a all while being able to collaborate workers. p strategic business priority. with experts and teammates. Manufacturers realize that there is too much value leaking away due to sub-optimal operating performance. Value is leaking away from unplanned shutdowns, equipment that is not properly tuned to current conditions, and the plant not living up to its potential. Going forward they will more aggressively engage with the contractors that designed and built their plants for advice and counsel on how to get the greatest ROI from their assets. Contractors will leverage their engineering expertise as well as knowledge about the technologies employed to boost their value add to the plant owners. Services employed will include predictive maintenance, plant revamps, and updates of plant models used in planning and scheduling. This is a win-win: plant owners will get more from their assets and their contractors will keep key staff engaged while increasing customer intimacy and knowledge of how their designs and technologies are performing.” —Paul Donnelly, AspenTech EPC industry marketing director www.S m a r t I nd us t r y.c om - 11-
Smart Industry: Tec hn ol ogy REPORT Enterprise applications cross the generational divide to alleviate the workforce crisis By Tom Brennan, Rootstock Software CMO p For better or worse, COVID- more akin to the social media older applications to the cloud was 19 has driven home the need for and mobile apps that younger a good start, but they still aren’t applications that can support remote generations, like Millennials and inherently pleasing to Millennials workers. Collaboration products Generation Z, have grown up using. or Gen Z. This is about to change such as Zoom, Teams and Slack No doubt these collaboration with the adoption and incorpora- have filled the void to help remote tools are changing the way we tion of collaboration tools that have employees get work done without work, but what about workhorse the “hip” look and feel of social stepping into an office or a plane. enterprise applications such as media and mobile apps. Interestingly enough, these col- CRM or stodgy apps like ERP? For example, Salesforce’s acqui- laboration tools are now used by Are these apps going to make sim- sition of Slack is not your garden everyone from kindergartners to ilar changes and modernize? Will variety $27.7 billion dollar trans- grandparents, and in some ways, they get Gen Z’d as well? action. It has wider ramifications have become as ubiquitous as To be clear, acquiring young that signals a change in how all smartphones. In fact, to lower the talent who will work on old ERP applications will be built and adoption barrier, some collabora- systems is a real issue. Younger used, including CRM and ERP. tion-tool vendors offer entry-level people don’t find their father’s With collaboration tools becom- apps for free. These tools are much ERP appealing. Moving these ing intrinsic components of a In times of crisis, the infrastructure and supply chains that underpin modern society—agriculture, food and beverage manufacturing, pharmaceutical development— go into hyperdrive. This means that 2021 must be the year we start planning for worst-case scenarios to ensure the uptime and security of these critical systems now and well into the future. Whether it be ransomware or a rogue USB, the threats to OT cannot be understated.” —Marty Edwards, Tenable vice president of OT www.S m a r t I nd us t r y.c om - 13-
Smart Industry: Tec hn ol ogy REPORT cloud platform, the lines will blur instantaneous, mobile and conver- for free. This means companies between apps and business stal- sational. Companies can redesign can set up digital connections with warts like CRM and ERP. how they work with employees, customers and suppliers easier than Imagine these collaboration tools as well as customers and suppliers ever before. integrated with ERP capabilities outside their virtual walls. Con- While ERP and CRM aren’t and the treasure trove of low-code ventional ERP can transition from designed for kindergarteners, configuration tools recently made being internally focused to a cloud- they’re agile and continually available on cloud platforms that driven platform that enables secure evolving, so when these little tikes allow businesspeople (or citizen interactions with external stake- enter the workforce, these tools developers as they are now known) holders. The supply-and-demand will provide the expected user to create mobile apps, design work- chains then become dynamic and experience. Meanwhile, these tools flows, and add analytics and AI resilient to market forces. are intuitive and user-friendly within the ERP. Now imagine how Another reason this spanning of enough for adoption by still-in- exponentially powerful these capa- generations can more easily occur the-workforce Baby Boomers, and bilities can be when also leveraging is the ubiquity of collaboration their increasingly collaborative, collaboration tools. tools. Getting systems to talk to app-like nature is increasingly As a result, these bastions one another isn’t a barrier. Anyone attracting Millennials and Gen of enterprise solutions become can utilize these tools…oftentimes Zers alike. p A swell of interest in remote-monitoring technologies in response to the COVID-19 pandemic has increased the scale of data collection in industrial operations, a trend we expect to persist in the coming year as these technologies dig their heels in. But with abundant data comes a slew of challenges, and one in particular that we’re watching for 2021 is privacy. New approaches like homomorphic cryptography, which allows encrypted data to be analyzed without decrypting it, can put this data to work without compromising privacy. Such privacy-preserving techniques for AI will see rising adoption in 2021, and while the most immediate impact will be in consumer and health applications, the same technologies will make their mark on industrial applications, as industrial data sharing becomes more prevalent.” —Katrina Westerhof, Lux Research director of research www.S m a r t I nd us t r y.c om - 14-
Smart Industry: Tec hn ol ogy REPORT The future of field service By Kieran Notter, ServiceMax vice president of global customer transformation & Sumair Dutta, ServiceMax senior director of digital transformation p While none of us could have parties) up and down for surges REMOTE SUPPORT AND OTHER successfully predicted the themes or dips in demand. This continues ENGAGEMENT MODELS for 2020, this year has been full of to be important, but there is an The technology to deliver expertise innovative approaches to work we increased desire to really tap into remotely has matured quite signifi- see shaping the way chief service the capacity and skillsets of the cantly and service organizations officers approach field service in existing service workforce. Can the have been happy to experiment 2021 and beyond. Here are things idle time of highly skilled workers with these tools to support their we expect a lot more of from ser- be used to train or remotely internal employees and custom- vice leaders in 2021: support less skilled service ers. Now, the opportunity arises agents? And can these less-skilled to truly inject remote into the FLEXIBILITY OF THE service agents be trained on the organization’s DNA. From a SERVICE WORKFORCE most commonly required service customer-facing perspective, orga- In past years, the discussion about processes and then be upskilled nizations will focus on monetizing service-resource flexibility has with on-demand learning and remote services and developing focused on quantity and the ability collaboration tools as and when the contracts and entitlements focused to scale (with the aid of third need arises? specifically on remote support. Moving forward, there will be no OT without IT, and securing these newly converged environments will be critical. 2021 will be the era of widespread IT and OT convergence—whether that be intentional or accidental. Unfortunately, many organizations will likely learn the hard way that their OT is no longer air-gapped, as cybercriminals continue to search for attack vectors. IT will be a conduit to compromising sensitive OT environments and vice versa.” —Barak Perelman, Tenable vice president of OT security www.S m a r t I nd us t r y.c om - 15-
Smart Industry: Tec hn ol ogy REPORT The remote mode of connection point-to-point solutions to solve Acceptable outcome- with customers will also spur new specific problems. That said, ser- based offerings engagement ideas and offerings vice organizations recognize that Conceptually, outcome-based while raising interesting concerns the strategic value of AI is tied to services make a lot of sense. around liability and compliance. the quality of data that is currently That said, it is very difficult From the workforce-enablement available in their organizations. for organizations to pivot to perspective, there will be a greater To drive better AI-supported pro- the provision of the services, emphasis on the organization and jections and recommendations, particularly if it involves the management of the remote expert organizations will continue to cannibalization of existing (and workforce to drive improved reach improve their data capture and seemingly safe) revenue streams or and scale. organization particularly around the greater buy in from functions information on the asset—failure outside of service. This isn’t holding HERE ARE AREAS WHERE causes, service actions required, back forward-thinking CSOs from WE WILL SEE INCREMENTAL part history and more. These navigating routes to an outcome- IMPROVEMENTS: organizations are interested in based future, either by offering an Data cleansing and preparation the development of a common increased portfolio of managed for future AI investments service language that makes services that are outcome-focused The number of use cases for AI it easier to record and analyze or by experimenting with outcome- continues to grow, and so does data for improved efficiency and based contracts with a handful of the overall interest in these better performance. customers or assets. p For many companies, digital transformation has been accelerated due to a response to the global pandemic. Companies are also keenly aware of the need to reduce waste, focus on process improvement, and increase operating rigor. Solutions that safely connect workers to the enterprise are powerful drivers to enable business continuity and growth in 2021.” —Pat Byrne, GE Digital CEO www.S m a r t I nd us t r y.c om - 16-
Smart Industry: Tec hn ol ogy REPORT Edge computing will bring visibility to three areas of the manufacturing supply chain in 2021 By Jason Andersen, Stratus Technologies vice president of business line management p Over the past year, supply chains into 2021, it will be a continued While manufacturers have long have been incredibly stretched balancing act as the global econ- dealt with disparate systems and and often disrupted. Some man- omy cautiously opens and consumer data across ERP, warehousing, ufacturers were challenged to demand fluctuates, depending on supply chain, or POS systems, the meet overwhelming demand with COVID outbreaks and the success fluidity of the market and human significantly limited resources and of vaccines. resources has underscored the value fewer workers, whereas others All of this has increased focus and of real-time data for insight. were forced to scale back or shut discussion about how manufacturers 2021 will be a year where edge down due to drops in demand. In can increase automation and visibil- computing gets deployed for supply either case remote visibility and/ ity on their supply chains to more chain visibility in three key areas— or access to the supply chain has effectively meet customer demand manufacturing execution, inventory been a major challenge. Heading and enable operational resilience. management, and point-of-sale. Organizations were forced to ask their employees to take on more responsibility in managing the 2020 pandemic. Rather than retracting that responsibility in 2021, industry leaders will continue to extend that reliance on the frontline to accelerate performance. A concerted effort to build teams that incorporate more diverse backgrounds and perspectives will be a priority and an important part of driving sustainable performance improvements. Investments to improve people, processes, and products will be evaluated on their ability to impact operational performance over an extended period of time. 2021 will be another year for learning and adapting to unprecedented circumstances. For those that can build on the experiences of 2020 and be open to new information, perspectives, and technologies, next year will be filled with opportunities.” —Errette Dunn, Rever CEO www.S m a r t I nd us t r y.c om - 17-
Smart Industry: Tec hn ol ogy REPORT In order to keep up with modern customer demands and economic shifts in 2021, manufacturers of complex goods will increasingly digitalize and move to a customer-driven, online-selling model. One critical technology will make online sales possible for complex manufactured products: configure-price-quote technology. Without it, no major manufacturer will be able to sell their products across all channels, and competitors will steamroll right over them. Here’s why: buyers of complex or heavy-duty goods—think huge farming equipment or complex medical machines—aren’t looking for standard products. They need highly customized, highly configured machines. Manufacturers need to make those adjustments translate across all the ripple effects of customization, and then through the negotiation and purchasing phases (think engineering, suppliers, pricing, manufacturing). The process has traditionally required a herculean effort full of manual processes, in-person meetings, paper spreadsheets, outdated catalogs, and costly rework, all rife with the potential for human error. But this sales model crumbled over the past year. Buyers began demanding consumer-like ease and came to expect automated, online interactions and real-time price adjustments. Also, COVID-19 amplified demand for online interactions, forcing buyers and sellers to move away from in-person meetings. There’s no going back—in 2021 manufacturers will continue to revamp their sales processes to remove all the complexities of traditional methods. Those that move slowly, or not at all, will not survive.” —Bo Gyldenvang, Tacton CEO www.S m a r t I nd us t r y.c om - 18-
Smart Industry: Tec hn ol ogy REPORT Manufacturing execution and production. While companies aspire to build digital factories and Looking ahead to 2021 and enable smart manufacturing, many beyond, it’s not necessarily the are burdened with varying levels technology itself that will make the of automation and digitalization, biggest impact on manufacturers, but and wrestle with broad and holis- rather how well organizations deploy tic visibility on manufacturing and manage their digital assets. In operations. This is exacerbated by the need to solve for real-time short, the success of a manufacturer’s plant-floor visibility with fewer digital investments hinges on the employees. Edge computing organization’s larger people strategy: extends manufacturing-execution recruiting, retaining and reinventing systems to the equipment to deliver talent as Industry 4.0 unfolds.” that visibility without the complex- —Rocky Subramanian, SAP North American ity of mission-critical IT systems. managing director, Midwest region For high-velocity production lines or complex production processes, the proximity of computing power edge computing is a high-value understand point-of-sale demand will be a game changer for mon- investment with less than eight- to optimize distribution and pro- itoring production and enabling month payback that manufacturers duction planning. issue escalation. will pursue in 2021. Inventory management and Point-of-sale and transactions. EDGE COMPUTING WILL warehousing. Manufacturers have Point-of-sale transactions, par- POWER SUPPLY CHAIN already been on a path of increased ticularly in CPG, have remained VISIBILITY IN 2021 automation in warehousing and a blindspot for manufacturers to Edge computing will be a top inventory management. That will manage inventory and distribution, investment by manufacturers to continue to accelerate as zero-touch and plan manufacturing, due to increase visibility and operational and remote monitoring become the complexity of high volumes of resilience across manufacturing requirements as manufacturers look data, and lack of local compute and operations, inventory, material to scale back essential workers and connectivity required to monitor handling, and delivery in response increasingly deploy new solutions and process information. In B2B, to COVID and future disruptions. such as robotics. Ruggedized companies are deploying edge While business continuity used to edge-computing platforms that are computing to monitor logistics mean moving production data and purpose-built for edge locations transactions at remote edge loca- models into the cloud for access are ideal for material handling tions and even share that data in anywhere, in 2021 manufacturers and warehousing applications. real time with business partners. will be looking to deliver business The ability to integrate In 2021, companies will similarly continuity and supply chain resil- manufacturing operations and to deploy zero-touch edge computing ience by acquiring data and insight process the associated data with to address blindspots in retail to from the edge. p www.S m a r t I nd us t r y.c om - 19-
Smart Industry: Tec hn ol ogy REPORT While jolting, recent changes enabled by work-from-home technologies like MS Teams and Zoom are now more fully exposed and understood for what they enable. They’ve demonstrated (again?) the burgeoning potency of technologies as enablers to our products and processes, our systems and solutions, our interfaces and interactions. We’re getting used to their usefulness for overcoming our distance and time away from one another. With two or more minds meeting simultaneously, instantaneously, on screens, office technologies applied out of necessity have prompted rapid adaptation and learning. However, the inrush of new individual know-how, skill and faith in using these tools ‘in the convenience of our own homes’ has also supported group engagement in meaningful dialog and development of common understandings. We have more opportunities to synchronize on what makes goals and issues common to everyone involved. Once aligned, technologies also enable rapid collaboration to express and overcome commonly understood issues. Team efforts orchestrate and unify while nurturing a sense of ownership and common achievement. Given our new, hard-earned knowledge and know-how, there will be less tolerance for functional silos or digital divides in the enterprise. In the industrial space, this intolerance will more rapidly erode the perceived divisions between OT and IT. Needs to expand expertise will dissolve protected niches as technologies merge through concepts like the digital twin and digital thread. While enabling ‘living’ digital models, these concepts will merge into the work-lives and mindsets of employees. Open platforms, common network protocols, robust and reasoned security and governance will allow data to serve as joinery among multiple actors in their work together—on projects, while cross- checking actions and purposes, and while growing in understanding of where and how each other plays in the achievement of common goals. Secure openness and data democratization within and between enterprises will free the information that enables human and artificial intelligence, and supports better decision-making and agility. However, a growing intolerance of our separation will be the needle that continues to first perforate silos, then draw them together with the threads of knowledge we’ve shared and come to appreciate from one another.” —Louis Grice, Phoenix Contact USA vice president of digitalization www.S m a r t I nd us t r y.c om - 20-
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Smart Industry: Tec hn ol ogy REPORT Outcome-as-a-Service in the coming year By Kevin Finnan, Yokogawa industry marketing consultant p Rather than disrupting the tech- A trend leading into 2020, the through the past year, is evolving nological innovations that had been outcome-orientation concept puts to a network of connected digital predicted for 2020, the pandemic today’s broad array of disruptive twins. Instead of extreme scaling greatly accelerated adoption of technologies into perspective by such as from a process unit to an concepts such as digital transfor- urging engineers to focus on out- entire facility, process operators are mation, augmented reality (AR), comes instead of technology. The deploying connected digital twins, and secure remote access. It also disruptions caused by the pandemic which focus on varying purposes— brought other initiatives into finer have only refined that focus to the while continuing to be scalable. For focus—and they will accelerate point that suppliers are trending example, instead of incorporating new technology deployment in the toward outcome-as-a-service port- deep knowledge of the chemistry coming year. folios for 2021. in a process unit into a digital twin Outcome orientation will Connected digital twins. The that mirrors the human operator, evolve to outcome-as-a-service. scalable digital twin, proven emulation of the two, separate Predictions: Field service, asset-management scheduling and route-optimization engines will be driven by artificial intelligence/machine learning. For service and asset- intensive industries, just-in-time parts delivery will happen via drones. Your utility will evolve to be a one-stop shop for your home services (E-commerce storefront, installation, repair and monitoring services, etc.). Your utility may also begin providing your 5G-based internet in direct competition to Telcom. Renewables will become a major distributed- energy source. AI/ML, IoT and thermal-imaging technologies coupled with modern cloud-based field service and asset- based scheduling systems will be able to forecast most of the extreme weather-induced wildfires. The use of paper for field-service schedules, reports and notes will be eliminated.” —Vikram Takru, KloudGin CEO www.S m a r t I nd us t r y.c om - 22-
Smart Industry: Tec hn ol ogy REPORT entities (the process unit and duties such as routine inspection Edge-enabling communica- human operator) could take place rounds and incident investigations. tions trends. Underpinning digital in separate but interconnected dig- A robot could enter a hazardous transformations are two technol- ital twins. area that would be very risky to a ogies that will enable the rapid Formerly disparate, disruptive human or one that would require migration from legacy, plant-floor technologies will work together. lengthy preparation of personal networks and protocols to a digi- Meanwhile, rather than com- protection equipment (PPE). A talized future. peting with technologies such as drone can replace a human who Private 5G cellular will enable machine learning (ML), first prin- would need to climb a very tall wireless consolidation of such ciples-based digital twins will work ladder. The robots do not necessar- widely disparate technologies as with them. The convergence of first ily replace people, but allow them proprietary, spread-spectrum radio, principles models and ML can help to perform tasks with higher value WiFi and earlier-generation cellu- with data gaps. This is a revolution- while significantly reducing risks. lar communications. Meanwhile, ary approach to solving problems A robot or drone on an inspec- the advent of a protocol-agnos- Mobile robots will transition tion round would communicate tic, Ethernet advanced physical from marginal to mainstream in not only with the control system, layer (Ethernet-APL) provides an process-industry applications. asset-management application and incredible opportunity to digitally The pandemic has accelerated cloud-based analytics but would transform field-device commu- process-industry robotics trends. also work with a human who could nications by replacing ISA100, While staff works from home in visualize and control all operations Modbus, PROFIBUS PA, and 2021, on-site robots could fulfill from a remote location. Wireless HART. p Consumer habits at home tend to trickle down to work; we are noticing that the adoption of tablets at work is increasing. New employees are more likely to easily adopt tablets—no matter their age—than the existing workforce. Tablets are lightweight, easy to carry and easy to use, and give the field workforce an all-in-one place to gather data, enter it in forms, take pictures and upload information instantaneously. Improvements in mobile technology and data speeds also play a huge role in this shift to the tablet as a work tool. As the improvements to technology continue, both for mobile devices and tablets, we will continue to see the trend of shifting away from PCs to tablets.” —Vamsi Alla, Think Power Solutions CTO www.S m a r t I nd us t r y.c om - 23-
Smart Industry: Tec hn ol ogy REPORT This is no time to let our guard down By Rick Peters, Fortinet North America CISO for operational technology p The traditional network perime- digital transformation. As a result, cyber-criminals involved in terror- ter has been replaced with multiple in the coming year there will be ism, espionage and cyber-warfare. edge environments, WAN, multi- an increased focus on securing the That threat landscape continues to cloud, data center, IoT and remote edge, which requires a converged grow, unfortunately. Historically, workers, and more. Each of these focus on security and networking. most OT environments have been surfaces carry unique risks in terms IT and OT will continue to con- siloed. The air gap between the of security. This gives cybercrimi- verge, and for this to happen safely OT network and the rest of the IT nals a significant advantage: these and successfully, security and net- environment has protected them, edges, interconnected, yield an working will need to come together much like a wide ocean protects the expanded attack surface which as well. species of a remote island. Many of many organizations are unable to these OT systems use legacy tech- secure properly. Instead, organiza- ICS AND SCADA SYSTEMS nology, with little or no internal tions have deprioritized centralized BECOME BIGGER TARGETS security, making them vulnerable visibility and unified control in ICS and SCADA systems to exploitation. Connecting with favor of optimal performance and have become juicier targets for an IT network opens up these OT If edge computing was the buzz for 2019 and 2020, 2021 will be all about artificial intelligence at the endpoint. As data requirements continue to skyrocket from the use of IoT devices and sensors, intelligence at the endpoint will help enterprises and OEMs better process, manage and store this data in new ways. This, in turn, will help them increase efficiency and save money. Additionally, 2021 will be the year that the industry realizes that IoT is merely a vehicle for data. Automation will change business models. Endpoint devices will become increasingly smarter. Cloud data transmission costs will increase dramatically. And predictive maintenance will top manufacturing pain points in 2021.” —Yasser Khan, ONE Tech CEO www.S m a r t I nd us t r y.c om - 24-
Smart Industry: Tec hn ol ogy REPORT Enabled by reliable, high-performance 5G connectivity and real- time edge computing capabilities, enterprises will more rapidly implement AI technology to support various use cases across their organizations, including robotic assembly lines, autonomous vehicles, augmented-reality training, and more. These intelligent, AI-driven solutions will automate traditional, manual processes to increase performance and visibility while lowering cost. In 2021, manufacturers will lay the groundwork for company- wide, cost-effective industrial automation. Over the next five years, we will see these industries completely transform themselves due to the automating power of real-time AI. We will see a substantial increase in 5G trial initiatives by enterprises over the next 12 months, especially in verticals such as manufacturing, energy and surveillance, to enable mission- critical applications that require low latency. In 2021, consumer handsets will remain the most widely adopted 5G use case, focused on allowing faster data speeds for users, before being overtaken by enterprise applications in 2022. These enterprise and industrial deployments will offer more radical disruptions and significant value-added services and apps associated with 5G. They will utilize new attributes and properties, such as Ultra-Reliable Low Latency Communications (URLLC), Massive-Machine Type Communications (MMTC), and private bands, which are uniquely 5G. Efforts like CBRS and O-RAN will allow enterprises to deploy private 5G networks at lower operating price points, allow new providers to enter the market, and bridge the digital divide. We may see traditional consumer 5G vendors entering the enterprise space, but these companies will struggle to pivot away from the traditional consumer markets based on available internal resources and expertise. Incumbents will certainly not ignore the enterprise market; however, they are not likely to put all their eggs in that basket as newer players will.” —Vinay Ravuri, EdgeQ CEO www.S m a r t I nd us t r y.c om - 25-
Smart Industry: Tec hn ol ogy REPORT systems to cyber-attacks and malware they are unprepared to defend. Security pro- fessionals must keep a close eye on these systems, not just those in factories and manufacturing plants, but also those in In 2021, we’ll see digital critical infrastructure like power plants and innovation and investment spike water-treatment systems. among service providers. Those who’ve already made progress SMART INFRASTRUCTURE on their digital -transformation BRINGS ADVANTAGES BUT journeys will be looking to build INCREASED ATTACK VECTORS upon their strong foundation— IoT is disrupting the building industry, and those who have lagged along with declining costs of sensors and cloud computing. More organizations are will work hard to catch up. retrofitting or building out new structures 2021 will be a race to digital, with smart infrastructure. This comes with the spoils going to those with many benefits, but also security organizations that can maintain risks. Smart infrastructure has new and the momentum built up during vulnerable endpoints that must secured their response to the pandemic.” properly. Organizations will need to take a —Sarah Nicastro, IFS field-service evangelist security-first approach to deploying smart infrastructure technology. Having a long- term strategy for both physical security and cybersecurity is more important than ever. This year put a spotlight RANSOMWARE IS PROLIFERATING on the gaping skills shortages AND GROWING MORE SOPHISTICATED we are facing. Because of this, This has been a banner year for bad actors when it comes to technical deploying ransomware against organiza- skills, organizations are set to tions of many types, including schools, raise their standard baseline hospitals and manufacturers. Ransomware of knowledge. Organizations is continuing to evolve, making it one of will need to reskill employees the most damaging threats facing orga- and focus on digital literacy.” nizations today. As networked systems increasingly intersect with critical infra- —Flemming Goldbach, LMS365 structure systems, this worrisome trend vice president of product places more data, devices and even lives at risk. Organizations will have to increase their security posture. 2021 will not be a time to let one’s guard down. p www.S m a r t I nd us t r y.c om - 26-
Smart Industry: Tec hn ol ogy REPORT Supply chains will need to be digitized given the new normal, and these efforts will be powered by cloud-based IGA platforms to govern access. This demand is being seen across industries, but more significantly within manufacturing. The new normal of remote home working will be permanent for many employees and organizations. This means organizations need to rethink their fine- grained access model; getting a better handle on the fine-grained policies that need to be implemented for a long-term remote setup can be the foundation for introducing automation of identity management and provisioning. With that work in place, modernizing IGA and reducing the need for human intervention through automation will be key needs in 2021. Companies will need to seek an IGA solution that can govern that granularity on a daily basis. 2021 will be a year where several legacy solutions hit the wall and/or are out of service. Legacy solutions can’t meet their business requirements any more, and companies will find these products are no longer supported as the need for digital transformation intensifies. This will drive demand for modern cloud-based IGA solutions to replace legacy products.” —Morten Boel Sigurdsson, Omada founder and president of North America www.S m a r t I nd us t r y.c om - 27-
Smart Industry: Tec hn ol ogy REPORT IT/OT integration is critical for answering the $77 billion need for IIoT By Keith Higgins, Rockwell Automation vice president of digital transformation p Most manufacturers plan Data produced on the factory organizations can generate pre- to increase their investment in floor needs to maintain its rich dictive insights and operational smart-factory technology over the context (such as process conditions, excellence across the enterprise. next year. As IIoT sensors pro- time stamps, machine states, and By applying context to data pulled duce 1.44 billion data points per other production states) to provide from the factory floor, OT teams plant per day, IT/OT integration maximum insights to factory staff. will create more powerful analyt- is critical to improving operational Previously, aggregating the data ics to better understand the data efficiency while accelerating success generated by machines in processes and how it impacts the machines, through digital-transformation ini- required significant manual effort lines, plants, and processes they tiatives. However, enterprises have and pulling information from many are responsible for. In 2021, IT/ traditionally been challenged with disparate sources. Instead, by auto- OT integration will directly impact converting real-time, historic OT matically capturing high-speed, whether enterprises remain or data from legacy systems into high- contextualized OT data from become more competitive in the er-level IT insights. industrial controllers in real-time, global manufacturing landscape. Legacy oil & gas companies will change how they recruit and hire based on the implementation of digital-transformation projects. AI will increasingly benefit the upstream oil & gas industry through the democratization and localization of specialized knowledge in well operations, where domain- expert knowledge and experience are extremely valuable, yet scarce. COVID-19 will jumpstart the long-awaited digital transformation and AI adoption in many upstream oil & gas organizations. In 2021, we’ll see many more oil & gas companies with actual AI deployments across the entire organization, at the operational scale and in productization.” —Michael Krause, PhD, Beyond Limits data scientist www.S m a r t I nd us t r y.c om - 28-
Smart Industry: Tec hn ol ogy REPORT Digital transformation requires a best-of-breed solution ecosystem. An ecosystem of technologies, solution providers and architects will be key for powering successful digital transformation initiatives in 2021. Organizations will favor open architecture platforms to unite the best features of various IT, OT and engineering technology (ET) solutions over leveraging a single provider with a narrower tech stack, which can have limitations and impede results. What’s more, by leveraging best-of-breed solutions and partners, businesses can create a closed-loop system to further improve outcomes by sharing input and output data across the ecosystem to continuously adapt to shifting conditions or constraints. By sharing information, organizations can minimize time, reduce effort and eliminate redundancy. Artificial intelligence becomes less artificial in 2021. In the new year, remote work will continue, social-distancing requirements will remain, and supply chains will continue to face disruption. This new way of life demands a new way for companies to continue operations effectively across the value chain—from the product to the plant to the end user. The use of artificial intelligence (AI) will be the standard for addressing these challenges. In 2021, enterprises will take a human-centered approach to AI initiatives, understanding user needs and values, then adapting AI designs and models accordingly, which will in turn, improve adoption. Prescriptive analytics will be a key component for digital- transformation success. For AI to have a significant impact across the value chain, prescriptive analytics will be the catalyst to optimize performance. Prescriptive analytics will become an essential piece for scaling AI within organizations, by leveraging product and customer data to advise AI models on how to improve processes, adjust production and increase efficiency. Going beyond predictive analytics to prescriptive analytics will ultimately enable digital transformation success for manufacturers in 2021.” —George Young, Kalypso global managing director www.S m a r t I nd us t r y.c om - 29-
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