{"id":17390,"date":"2020-01-09T11:00:10","date_gmt":"2020-01-09T19:00:10","guid":{"rendered":"http:\/\/www.palada.net\/index.php\/2020\/01\/09\/news-11126\/"},"modified":"2020-01-09T11:00:10","modified_gmt":"2020-01-09T19:00:10","slug":"news-11126","status":"publish","type":"post","link":"http:\/\/www.palada.net\/index.php\/2020\/01\/09\/news-11126\/","title":{"rendered":"Key Technology Trends for 2020"},"content":{"rendered":"<p><strong>Credit to Author: Guest Blogger| Date: Wed, 08 Jan 2020 21:21:13 +0000<\/strong><\/p>\n<div id=\"attachment_41998\" style=\"width: 160px\" class=\"wp-caption alignleft\"><a href=\"https:\/\/blog.se.com\/wp-content\/uploads\/2017\/10\/Craig-Resnick.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-41998\" class=\"wp-image-41998 size-thumbnail\" src=\"https:\/\/blog.se.com\/wp-content\/uploads\/2017\/10\/Craig-Resnick-150x150.jpg\" alt=\"Craig-Resnick\" width=\"150\" height=\"150\" srcset=\"https:\/\/blog.se.com\/wp-content\/uploads\/2017\/10\/Craig-Resnick-150x150.jpg 150w, https:\/\/blog.se.com\/wp-content\/uploads\/2017\/10\/Craig-Resnick-125x125.jpg 125w\" sizes=\"auto, (max-width: 150px) 100vw, 150px\" \/><\/a><\/p>\n<p id=\"caption-attachment-41998\" class=\"wp-caption-text\">Craig Resnick &#8211; ARC Advisory Group<\/p>\n<\/div>\n<p><em>Craig Resnick covers the PLC, PAC, HMI, OIT and Industrial PC markets as well as the Packaging, Plastics and Rubber Industries for ARC. \u00a0He is the primary analyst for many of ARC\u2019s Automation Supplier and Financial Service clients. \u00a0Craig\u2019s focus areas also include Production Management, OEE, HMI Software, Automation Platforms, and Embedded Systems. \u00a0Craig has 30 years\u2019 experience in sales, marketing, product development, and project management in the industrial market, gained with major suppliers of PLCs, process control systems, power transmission equipment, and field devices. Craig is a graduate of Northeastern University with an MBA and BS in Electrical Engineering.<\/em><\/p>\n<p> <a href=\"https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-scaled.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-63184 size-large\" src=\"https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-1024x683.jpg\" alt=\"\" width=\"1024\" height=\"683\" srcset=\"https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-1024x683.jpg 1024w, https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-300x200.jpg 300w, https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-768x513.jpg 768w, https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-1536x1025.jpg 1536w, https:\/\/blog.se.com\/wp-content\/uploads\/2020\/01\/GettyImages-918639608-2048x1367.jpg 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a> <\/p>\n<p>This year\u2019s \u201cKey Technology Trends\u201d report builds on many of the same trends ARC Advisory Group discussed in last year\u2019s report.\u00a0 There\u2019s a reason for this.\u00a0 End users today are demonstrating an improved grasp on how disruptive technologies and approaches can be implemented effectively in their operations and across their enterprises to gain business value.\u00a0 This is critical for any organization to not only survive, but to thrive long-term in a world where the only certainty is change.<\/p>\n<p>In last year\u2019s report, we discussed augmented reality for knowledge transfer, virtual reality for training and simulation, deployment of combined cloud\/edge solutions, convergence of IT\/OT cybersecurity, and digital twins.\u00a0 As discussed in this report, in addition to the above, for 2020, some of the new technologies and approaches we\u2019re tracking include deploying the next generation of Industrial IoT edge solutions; the increasing use of cyber-physical systems; accelerating the development of open process automation systems and standards; digital transformation shifting focus from basic digitization to full digitalization; applying systems engineering practices to industrial cybersecurity; and others.<\/p>\n<p>All of these trends are poised to either enter the mainstream or \u2013 if already there &#8211; to continue to gain acceptance.\u00a0 All relate to the overall digital transformation of industry, infrastructure, and today\u2019s increasingly smart cities and municipalities.\u00a0 In no particular order, here are some of the key technologies that ARC Advisory Group believes will increase in importance over the next twelve months or so. While far from a complete list, the technologies discussed in this report will almost certainly make an impact on industry, infrastructure, and municipalities in 2020.<\/p>\n<p><strong>Deploying Industrial IoT Edge 2.0 Solutions <\/strong><\/p>\n<p>The edge of industrial internet-enabled architectures is becoming increasingly important.\u00a0 This is due largely to its often-critical role in determining the success of digital transformation strategies.\u00a0 Initially focused on delivering timely, clean data to cloud-based applications, the edge is emerging as an entirely new ecosystem within the overall enterprise architecture.\u00a0 Solution architects now rely on the edge not only for cloud integration, but also as a solution to address manufacturers\u2019 concerns about latency, security, cost containment, and isolation for production environments.<\/p>\n<p>Edge computing applications, particularly high-value analytics and artificial intelligence (AI) delivered via machine learning (ML), allow data to be processed near its source.\u00a0 The spike of investments targeted at this space helps demonstrate its increasing importance.\u00a0 IT and OT suppliers alike are introducing new Industrial IoT edge hardware, software, and solution offerings.\u00a0 ARC now refers to this as \u201cIndustrial IoT Edge 2.0.\u201d It offers important improvements in ease-of-use, self-service, and turnkey operation; while emphasizing business outcomes and application-specific solutions versus pervasive infrastructure.\u00a0 Moving forward, Industrial IoT Edge 2.0 offerings will place greater emphasis on turnkey solutions that address specific outcome-oriented use cases.\u00a0 This represents a shift away from a simple \u201crun the operations\u201d mentality to use of real-time data analytics to rethink competitive fundamentals.<\/p>\n<p><strong>Increasing Use of Cyber-physical Systems <\/strong><\/p>\n<p>While manufacturers ramp up to meet demand for the growing \u201csmart product\u201d market, they face challenges developing and manufacturing new and more complex products and systems.\u00a0 These require tight integration between the computational (virtual) and the physical (continuous) worlds.\u00a0 To meet these complexity and integration requirements, more cyber-physical systems will be deployed using advanced simulation platforms that cover model-based mechatronic systems engineering, embedded system design integration, and simulation models that validate product and system design in the physical world.<\/p>\n<p>Cyber-physical systems are an engineered system or mechanism controlled or monitored by computer-based algorithms and tightly integrated with both the internet and its users.\u00a0 In cyber-physical systems, physical and software components are deeply intertwined and get much of their intelligence from the use of AI and ML.\u00a0 Factory production lines, process plants for energy and utilities, and smart cities will depend on cyber-physical systems to self-monitor; optimize; and even run infrastructure, transportation, and buildings autonomously.<\/p>\n<p>In the future, cyber-physical systems will rely less on human control and more on the intelligence embedded in the AI-enabled core processors.\u00a0 These will run the devices, products, and systems that will be a pervasive part of the industrial world that produces them.<\/p>\n<p><strong>Accelerating Development of Open Process Automation Systems and Related Standards\u00a0 <\/strong><\/p>\n<p>Advances in hardware, software, networking and security, increasing global competition and cybersecurity risks, and the need to gain more value from automation technology will accelerate the development of open process automation systems and related standards.<\/p>\n<p>For example, one initiative is being driven by a collaboration of end users, including ExxonMobil, Aramco, BASF, ConocoPhillips, Dow, Georgia-Pacific, and Linde. These companies are members of the Open Process Automation Forum (OPAF) established by The Open Group to identify and select appropriate standards for technology and systems to support interoperability, avoid technology obsolescence, and deliver more business value.<\/p>\n<p>The goal of this collaboration is to accelerate creation of a standards-based, open, interoperable, and secure automation architecture that addresses both technical and commercial challenges of current systems.<\/p>\n<p>A recently developed test bed for use by the collaboration partners will act as the foundation for testing the performance and operation of individual components and standards.\u00a0 The collaboration partners will nominate and prioritize new components, standards, and system features to be added and tested.\u00a0 The results from the test bed will be shared with all collaboration partners and create a foundation for developing future solutions.<\/p>\n<p>At the asset\/application level, a parallel (and potentially converging) end user-driven effort, the NAMUR Open Architecture (NOA) standard for transferring field equipment information, will continue to gain traction in Europe and elsewhere.\u00a0 NOA uses a standardized information model to securely transfer field data from within the control system to cloud or on-premise applications for monitoring and optimization (M+O) purposes.<\/p>\n<p>The main purpose of NOA is to reduce the cost and effort required to integrate M+O applications while safeguarding real-time, deterministic process control and instrumentation.\u00a0 NOA demonstrators have shown that the principles behind NOA are sound.\u00a0 Proof-of-concept installations show they can be transformed to technical specifications and standards that could lead to marketable products.<\/p>\n<p><strong>Digital Transformation Shifting Focus from Digitization to Digitalization Technologies <\/strong><\/p>\n<p>As part of a natural evolution, digital transformation is shifting its primary focus from basic digitization to digitalization.\u00a0 Digitization focuses on technology and infrastructure and involves creating digital versions of previously analog data, such as replacing paper-based work orders with digital work orders and replacing legacy analog field instrumentation and control systems with digital technologies.<\/p>\n<p>Digitalization, in contrast, involves using digital data and technologies to improve business or work processes. For example, utilizing data from a digital work order to improve maintenance work processes and execution, or using digital twins to improve asset information and\/or engineering processes. Digitalization can improve the way people work, collaborate, and get things done within a plant, across a company, or across the entire value chain.\u00a0 Examples would include using digital twins to support engineering, augmented reality (AR) for assembly and maintenance, and virtual reality (VR) for training and simulation.<\/p>\n<p>Successful digital transformation involves both digitization and digitalization.\u00a0 Digitization makes it easier to capture, organize, and manage a variety of data; while digitalization enables organizations to gain tangible business value from those data.\u00a0 Digitalization focuses on multi-process disruptive change and how to implement these changes throughout an organization. It engages an entire company and its people, rather than just processes and data.<\/p>\n<p><strong>Applying Systems Engineering Practices to Industrial Cybersecurity <\/strong><\/p>\n<p>Ensuring the cybersecurity of information systems and associated networks has always been challenging.\u00a0 Serious vulnerabilities are identified on a regular basis and new threats continue to emerge to exploit those vulnerabilities.\u00a0 Industrial systems share many of the same vulnerabilities and are subject to the same threats.\u00a0 However, the consequences may be very different and, in some cases, more severe.\u00a0 This makes cybersecurity an imperative for the asset owner, who ultimately must bear the consequences of an adverse event.<\/p>\n<p>The threat is ongoing and evolves constantly, so cybersecurity should not be viewed as a one-time \u201cproject\u201d with a defined beginning and end.\u00a0\u00a0 Since there is no such thing as being fully secure, the preferred approach should also be ongoing.\u00a0 This is similar to the approach used for safety, quality, and other performance-based programs.\u00a0 It\u2019s also not sufficient to focus on specific elements.\u00a0 Instead, asset identification and management, patch management, threat assessment, and so on are all parts of a broader response that must address all phases of the life cycle.\u00a0 This response begins by identifying principal roles and assigning responsibilities and accountability for each stage of the system life cycle.\u00a0 With these addressed, the well-established systems engineering discipline can provide effective tools and methods to help define, plan, and conduct the response.<\/p>\n<p><strong>Other Trends to Watch<\/strong><\/p>\n<p>Other potentially transformative technology trends and approaches that ARC is following right now include smart vision systems and video analytics; additive manufacturing moving into production environments; the impact of emerging 5G networks on industry, infrastructure, and smart cities; the containerization of apps; and lifecycle management\/optimization for connected assets, among others. ARC Advisory Group will continue to research and evaluate these latest technologies and approaches and looks forward to witnessing their impact on the digital transformation of industry, infrastructure, and smart cities.<\/p>\n<p>&nbsp;<\/p>\n<p>The post <a rel=\"nofollow\" href=\"https:\/\/blog.se.com\/machine-and-process-management\/2020\/01\/08\/key-technology-trends-for-2020\/\">Key Technology Trends for 2020<\/a> appeared first on <a rel=\"nofollow\" href=\"https:\/\/blog.se.com\">Schneider Electric Blog<\/a>.<\/p>\n<p><a href=\"https:\/\/blog.se.com\/machine-and-process-management\/2020\/01\/08\/key-technology-trends-for-2020\/\" target=\"bwo\" >http:\/\/blog.schneider-electric.com\/feed\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p><strong>Credit to Author: Guest Blogger| Date: Wed, 08 Jan 2020 21:21:13 +0000<\/strong><\/p>\n<p>Craig Resnick covers the PLC, PAC, HMI, OIT and Industrial PC markets as well as the Packaging, Plastics and Rubber Industries for ARC. \u00a0He is the primary analyst for many&#8230;  <a href=\"https:\/\/blog.se.com\/machine-and-process-management\/2020\/01\/08\/key-technology-trends-for-2020\/\" title=\"ReadKey Technology Trends for 2020\">Read more &#187;<\/a><\/p>\n<p>The post <a rel=\"nofollow\" href=\"https:\/\/blog.se.com\/machine-and-process-management\/2020\/01\/08\/key-technology-trends-for-2020\/\">Key Technology Trends for 2020<\/a> appeared first on <a rel=\"nofollow\" href=\"https:\/\/blog.se.com\">Schneider Electric Blog<\/a>.<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"colormag_page_container_layout":"default_layout","colormag_page_sidebar_layout":"default_layout","footnotes":""},"categories":[12389,12388],"tags":[23881,18063,20605,14966,17162,4500,22131,12581,12395,12554,22496,23882,12508,17164,12444],"class_list":["post-17390","post","type-post","status-publish","format-standard","hentry","category-scadaics","category-schneider","tag-2020-trends","tag-5g","tag-arc-advisory-group","tag-augmented-reality","tag-craig-resnick","tag-cybersecurity","tag-digital-transformation-of-industries","tag-digitization","tag-edge-computing","tag-industrial-cybersecurity","tag-industrial-digitalization","tag-industrial-iot-edge","tag-machine-and-process-management","tag-open-process-automation","tag-virtual-reality"],"_links":{"self":[{"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/posts\/17390","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/comments?post=17390"}],"version-history":[{"count":0,"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/posts\/17390\/revisions"}],"wp:attachment":[{"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/media?parent=17390"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/categories?post=17390"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.palada.net\/index.php\/wp-json\/wp\/v2\/tags?post=17390"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}