{"id":23801,"date":"2022-08-15T11:10:54","date_gmt":"2022-08-15T14:10:54","guid":{"rendered":"https:\/\/ee02395c61.nxcli.io\/insights\/industria-4-0-os-desafios-da-transformacao-digital-no-contexto-industrial\/"},"modified":"2024-04-09T12:51:28","modified_gmt":"2024-04-09T15:51:28","slug":"industry-40-digital-transformation","status":"publish","type":"insights","link":"https:\/\/elogroup.com\/en\/insights\/industry-40-digital-transformation\/","title":{"rendered":"Industry 4.0: digital transformation at industrial level"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"23801\" class=\"elementor elementor-23801 elementor-14548\" data-elementor-post-type=\"insights\">\n\t\t\t\t\t\t<section data-particle_enable=\"false\" data-particle-mobile-disabled=\"false\" class=\"elementor-section elementor-top-section elementor-element elementor-element-f4e9b5c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f4e9b5c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b085296\" data-id=\"b085296\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-930327f elementor-widget elementor-widget-text-editor\" data-id=\"930327f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><strong><span class=\"TextRun SCXW158740018 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW158740018 BCX0\">By EloInsights, in collaboration with Thiago Leite<\/span><\/span><span class=\"EOP SCXW158740018 BCX0\" data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a407b8f elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"a407b8f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8675719 elementor-widget elementor-widget-text-editor\" data-id=\"8675719\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul><li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><p><em>This second (and final) introductory article on Industry 4.0 delves into the challenges of digital transformation within the industrial sector.<\/em><\/p><\/li><li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><p><em>Granularity of machinery data and vertical integration of systems are points that organizations need to work on.<\/em><\/p><\/li><li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559684&quot;:-2,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><p><em>Staff upskilling, increasing analytical ability and incorporating digital competences are also challenges.<\/em><\/p><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8bb2418 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"8bb2418\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-611245d elementor-widget elementor-widget-text-editor\" data-id=\"611245d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">In the <span style=\"text-decoration: underline;\"><span style=\"color: #0000ff; text-decoration: underline;\"><a style=\"color: #0000ff; text-decoration: underline;\" href=\"https:\/\/elogroup.com\/en\/insights\/industry-40-technology-as-an-enabler\/\">first article of this introductory series on Industry 4.0 in the context of the Brazilian market<\/a><\/span><\/span>, we highlight some of the fundamental concepts of this new way of looking at industry challenges; an approach that is based on integrating different enabling technologies with typical operational challenges to generate positive impacts on the business.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Among these technologies there are artificial intelligence, advanced analytics, internet of things and robotization. We have talked about how these enabling competences need to be used as lenses, which will allow each organization to find ways of delivering impact within their specific circumstances.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In this second article, we will address challenges that are characteristic of digital transformation in industry:\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><ul><li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">The need to integrate systems at various levels of organizations, from physical production processes to business planning;\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/li><li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"5\" data-aria-level=\"1\"><span data-contrast=\"auto\">Training and a change in the profile of the type of work carried out, with the urgent need to integrate greater analytical capacity.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-772e579 elementor-widget elementor-widget-heading\" data-id=\"772e579\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">The integration of IT and OT in industry <\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e8207f5 elementor-widget elementor-widget-text-editor\" data-id=\"e8207f5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">\u201cAn important difference in the digital transformation of industry is that we work with more granular information, which needs to be constantly monitored\u201d, explains Thiago Leite, senior manager at EloGroup. <\/span><\/p><p><span data-contrast=\"auto\">\u201cWe have moved away from pure IT (Information Technology), at level 4 \u2013 Business Planning, security, servers and workstations, emails, databases and applications \u2013 and we are going to AT (Automation Technology) and OT (Operational Technology) dimensions, at lower levels\u201d.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">He is referring to the ISA95 model from the International Society of Automation, which proposes a way of organizing these several types of systems into five levels:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f405f7 elementor-widget elementor-widget-image\" data-id=\"1f405f7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17.png\" data-elementor-open-lightbox=\"yes\" data-elementor-lightbox-title=\"INSIGHTS_TRAD-17\" data-e-action-hash=\"#elementor-action%3Aaction%3Dlightbox%26settings%3DeyJpZCI6MjM4MDUsInVybCI6Imh0dHBzOlwvXC9lbG9ncm91cC5jb21cL3dwLWNvbnRlbnRcL3VwbG9hZHNcLzIwMjJcLzA4XC9JTlNJR0hUU19UUkFELTE3LnBuZyJ9\">\n\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"945\" src=\"https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17-867x1024.png\" class=\"attachment-large size-large wp-image-23805\" alt=\"industry hyperautomation\" srcset=\"https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17-867x1024.png 867w, https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17-254x300.png 254w, https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17-768x907.png 768w, https:\/\/elogroup.com\/wp-content\/uploads\/2022\/08\/INSIGHTS_TRAD-17-1301x1536.png 1301w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c405f12 elementor-widget elementor-widget-text-editor\" data-id=\"c405f12\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">In physical production, that involves mechanical processes and field equipment, the information produced is granular and often unstructured, which makes processing it a more complex challenge. <\/span><\/p><p><span data-contrast=\"auto\">Managing the maintenance of machinery in an industrial plant, for example, depends on information such as temperature and vibration levels in the operation of the equipment. In this scenario, process optimization and efficiency gains depend on using this data and integrating it with other systems.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Although other sectors of the economy also deal with this problem of data granularity, in industry it is critical to guarantee the operational safety of factories, the stability of the production process and the protection of the environment. This is a key point because the lack of data monitoring at the required granularity can result in accidents or even environmental disasters.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">An example of the specificities of using data in industry: in order to consolidate the so-called \u201coverall equipment efficiency\u201d (OEE), an indicator of how close to its maximum production potential a piece of equipment is working, it is necessary to cross-reference data from different sources and processes in order to understand whether the analyzed piece of equipment is unavailable because of a defect in itself or in another piece of equipment, whether production performance is compatible and whether the quality of the product at the end is within specifications. <\/span><\/p><p><span data-contrast=\"auto\">Traditionally, due to the lack of available and integrated granular data, the calculation is done manually. To speed up and make these operations more precise, the application of automation and artificial intelligence is a possibility.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In this vertical view, the digital transformation of the industry must gradually penetrate the distinct levels, from the most basic in the regulatory sphere, traditional automation, such as alarm management and industrial networks, to the most complex, involving advanced models for optimizing production planning, the operational configuration of plants, advanced process control and asset health management.\u00a0\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">\u201cReplacing manual labor with the automatic measurement of these indicators and the integration of systems enables more autonomous decision-making on the shop floor\u201d, says Leite. These changes do not just have an impact on the requirements of the machinery, but also require people to adapt culturally and technically.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-713185f elementor-widget elementor-widget-heading\" data-id=\"713185f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Training and building foundations in Industry 4.0 <\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6d06207 elementor-widget elementor-widget-text-editor\" data-id=\"6d06207\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span data-contrast=\"auto\">The growing need for knowledge about innovative technologies at all levels of the organization naturally has an impact on the urgency of investing in digital intelligence.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">One of the challenges in industry is to ensure that employees have access to data that will enable less subjective <span style=\"text-decoration: underline;\"><span style=\"color: #0000ff; text-decoration: underline;\"><a style=\"color: #0000ff; text-decoration: underline;\" href=\"https:\/\/elogroup.com\/en\/insights\/data-centric-artificial-intelligence\/\">decision-making<\/a><\/span><\/span>, within a culture orientated towards experimentation.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In many cases, however, industrial plants still lack the technological maturity to generate greater synergy between the management and production areas. It is essential to invest in the foundations, organizational and technical elements that will enable the use of more advanced technologies on a permanent basis, and not just on a one-off basis. This means building infrastructure, standardizing processes and acculturating people.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In terms of practical actions, a simple example is to guarantee a connection to data networks in key areas of the industrial plant, enabling the rapid flow of information relating to operations and production, and making it possible to use it in systems that can bring the operational gains, in the form of greater agility and cost predictability. <\/span><\/p><p><span data-contrast=\"auto\">Another example is upgrading and increasing server capacity to enable the processing of larger volumes of local data from factories and transferring it to corporate clouds, where it can be enriched with other relevant data such as industrial costs and revenues.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Other types of \u201cfoundational\u201d investments: applying data intelligence directly to the production line, with predictive executions that will reduce losses and avoid costly maintenance; integrating systems, enabling structured and strategic access to supplier data that will enable real-time forecasts and bring greater efficiency to logistics and the production chain. <\/span><\/p><p><span data-contrast=\"auto\">It is worth pointing out that although many industrial suppliers offer access to enabling technologies and sometimes even competence centers with direct access to factory data to bring insights to factories, the leading role in the journey and the responsibility for internalizing capabilities still is with the industries.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In this context, training the workforce must consider the impact of adopting these technologies on people. The first point is valuing and welcoming those going through this transition.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">\u201cAt a more operational level, it is really urgent to train people in a way that reframes the concept of work in industry\u201d, points out Leite. There is a growing demand for the application of knowledge related to statistics, interpreting results and numbers. Activities are losing their manual character and demand speed in reading alerts and adopting standard procedures.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Acculturation and training programmed in key areas, such as advanced analytics, must be included in the scope of organizations. It is important that this analytical capacity comes from within the industry itself, so that all sectoral knowledge can be used with a new dimension of analysis.<\/span><span data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559685&quot;:0,&quot;335559737&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">It is essential to gain a deep understanding of the enabling technologies and the relationship between the IT, AT and OT areas at an organizational level. From the main limitations to aspects of architecture and integration. There are two main ways to achieve this: cultivate close partners who help build these capabilities or internalize the creation of competences.\u00a0\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">In the first case, an example of \u201cinorganic\u201d training would be the acquisition of a start-up that master the enabling technology in question, such as sensing, advanced analytics, among others. The incorporation of an already skilled team into the organization tends to result in faster results.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">On the second path, organic training may take longer, but there are also some measures that can be applied and help bring results, such as the implementation (if the need is for advanced data analysis) of a Centre of Excellence in Analytics (CoE Analytics), whose function is to align the vision of advanced analytics with the company\u2019s business strategy, improve capabilities in various organizational areas, increase the quality of data with standardization and application of good practices for more advanced analysis and contribute to attracting and retaining high-level technical talent.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">As we have already discussed, there is no single technology or solution that can be applied universally to the different segments of the industry. Each sector has specific processes and use cases. <\/span><\/p><p><span data-contrast=\"auto\">This is partly explained by the variation in assets: in the automotive industry, large presses and funneling robots play a significant role in production lines, while in the steel industry it is the furnace that occupies this position. In the pulp industry, it is the paper machine and the turbogenerator.\u00a0<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p><p><span data-contrast=\"auto\">Therefore, each of these industries will have to find their own paths, within their specific realities, and deal with the different challenges that appear from this plurality of scenarios, which also include the varying stages of digital maturity of each organization, among other aspects discussed above.\u00a0 <\/span><\/p><p><span data-contrast=\"auto\">But regardless of where each company finds itself in this non-linear trajectory, the fundamentals detailed so far guarantee a guide so that they can move towards appropriating enabling technologies as lenses capable of unlocking the potential of <span style=\"text-decoration: underline;\"><span style=\"color: #0000ff; text-decoration: underline;\"><a style=\"color: #0000ff; text-decoration: underline;\" href=\"https:\/\/documents.worldbank.org\/en\/publication\/documents-reports\/documentdetail\/824061568089601224\/Industry-4-0-in-Developing-Countries-The-Mine-of-the-Future-and-the-Role-of-Women\" target=\"_blank\" rel=\"noopener\">Industry 4.0<\/a><\/span><\/span> in each scenario.<\/span><span data-ccp-props=\"{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559739&quot;:0,&quot;335559740&quot;:360}\">\u00a0<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ee42627 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"ee42627\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-52ef37c elementor-widget elementor-widget-text-editor\" data-id=\"52ef37c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em>THIAGO LEITE \u00e9 gerente s\u00eanior da EloGroup.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>The second and final article in the introductory series on Industry 4.0 delves into the challenges of digital transformation within the industrial sector. The granularity of machinery data and the vertical integration of systems are points that organizations need to work on.<\/p>\n","protected":false},"author":9,"featured_media":20824,"parent":0,"template":"","editorias":[125],"industrias-category":[132,133,148,134,144],"praticas-category":[127,151,153,137,156,158,135,136],"insights-category":[160],"class_list":["post-23801","insights","type-insights","status-publish","has-post-thumbnail","hentry","editorias-strategically-digital-en","industrias-category-energia-oleo-gas-en","industrias-category-infraestrutura-en","industrias-category-logistics-and-transportation","industrias-category-manufatura-en","industrias-category-mining","praticas-category-ai-algorithms","praticas-category-cloud-services-integration-en","praticas-category-data-engineering-big-data-en","praticas-category-transformacao-digital-en","praticas-category-hyperautomation-en","praticas-category-processes-value-generation","praticas-category-estrategia-inovacao-en","praticas-category-supply-chain-en","insights-category-strategically-digital-en"],"_links":{"self":[{"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/insights\/23801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/insights"}],"about":[{"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/types\/insights"}],"author":[{"embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/users\/9"}],"version-history":[{"count":6,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/insights\/23801\/revisions"}],"predecessor-version":[{"id":23810,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/insights\/23801\/revisions\/23810"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/media\/20824"}],"wp:attachment":[{"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/media?parent=23801"}],"wp:term":[{"taxonomy":"editorias","embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/editorias?post=23801"},{"taxonomy":"industrias-category","embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/industrias-category?post=23801"},{"taxonomy":"praticas-category","embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/praticas-category?post=23801"},{"taxonomy":"insights-category","embeddable":true,"href":"https:\/\/elogroup.com\/en\/wp-json\/wp\/v2\/insights-category?post=23801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}