{"id":24612,"date":"2021-02-11T20:09:23","date_gmt":"2021-02-11T19:09:23","guid":{"rendered":"https:\/\/sixphere.com\/blog\/5-applications-of-machine-learning-in-industry\/"},"modified":"2025-04-11T11:32:01","modified_gmt":"2025-04-11T09:32:01","slug":"5-applications-of-machine-learning-in-industry","status":"publish","type":"post","link":"https:\/\/sixphere.com\/en\/blog\/5-applications-of-machine-learning-in-industry\/","title":{"rendered":"5 applications of machine learning in industry"},"content":{"rendered":"\n<div class=\"et_d4_element et_pb_section et_pb_section_0  et_pb_css_mix_blend_mode et_section_regular et_block_section\" >\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_d4_element et_pb_row et_pb_row_0  et_pb_css_mix_blend_mode et_block_row\">\n\t\t\t\t<div class=\"et_d4_element et_pb_column_4_4 et_pb_column et_pb_column_0  et_pb_css_mix_blend_mode et-last-child et_block_column\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_0  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_text_inner\"><h1>5 applications of machine learning in industry<\/h1><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div><div class=\"et_d4_element et_pb_row et_pb_row_1  et_pb_css_mix_blend_mode et_block_row\">\n\t\t\t\t<div class=\"et_d4_element et_pb_column_4_4 et_pb_column et_pb_column_1  et_pb_css_mix_blend_mode et-last-child et_block_column\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_1  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div><div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_2  et_pb_text_align_center et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div><div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_3  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_text_inner\"><h2>What is machine learning?<\/h2>\n<p>Machine learning is the process by which a functional unit improves its performance by acquiring new knowledge or skills, or by reorganizing existing knowledge or skills. This is the definition provided by the International Organization for Standardization (ISO) in the standard <span> <\/span><a href=\"https:\/\/www.iso.org\/obp\/ui\/#iso:std:iso-iec:2382:-31:ed-1:v1:en\">ISO\/IEC 2382-31:1997<\/a>, on information technology.<\/p>\n<p>Machine learning is a branch of artificial intelligence that works through algorithms that process the data constantly received by the machine. Therefore, we can state that the system learns without the need to be programmed. In this way, it recognizes patterns and is capable of drawing conclusions on its own.  <\/p>\n<h2>Machine learning and Industry 4.0<\/h2>\n<p>Extracting value from the data generated by the daily activities of a company is key to improving processes, and therefore, machine learning must be highly present.<\/p>\n<p>This implies that it is necessary to eradicate the mindset of many<span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/herramientas-responsable-planta\/\">industrial managers<\/a><span> <\/span>some ideas that hinder this growth. Notably, we can refer to the <span> <\/span><a href=\"https:\/\/www.idc.com\/getdoc.jsp?containerId=IDC_P31626\">report<\/a><span> <\/span>IDC report that highlights the main obstacles in this regard:<\/p>\n<ul>\n<li>More than 75% of the companies surveyed claim that analyzing daily data prevents them from taking advantage of business opportunities.<\/li>\n<li>More than 50% admitted that it limits the effectiveness of operations.<\/li>\n<li>27% confessed that it negatively impacts <span>their <\/span><a href=\"https:\/\/puntazo.sixphere.com\/project\/gestion-produccion-alestis\/\">productivity <\/a><span>and <\/span>agility.<\/li>\n<\/ul>\n<p>But we also have positive figures that give reason for hope. For example, we have the <span> <\/span><a href=\"https:\/\/marketing.global.fujitsu.com\/rs\/807-GYW-324\/images\/Folleto-Estudio-predictivo.pdf\">presented by Fujitsu<\/a><span> <\/span>in their study on predictive maintenance and Industry 4.0. According to this, more than half of the participants indicate that their most critical assets are sensorized with devices from <span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/iot-industria40\/\">IoT (Internet of Things)<\/a>.<\/p><\/div>\n\t\t\t<\/div><div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_4  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_text_inner\"><h2>Advantages of applying machine learning in industry<\/h2>\n<p>Machine learning is a valuable resource throughout almost the entire<span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/smart-supply-chain-industria\/\">supply chain<\/a>. Therefore, the application of these tools is one of the essentials of Industry 4.0. Among the main benefits that companies will enjoy by implementing them are:  <\/p>\n<ul>\n<li>A higher level of planning, as one of the most valuable qualities of machine learning is its predictive capability. By having these solutions, companies will have a clearer view of what is to come and will be able to act accordingly. <\/li>\n<li>In addition to anticipating demand peaks and valleys, machine learning enables industries to know how prepared they are for these situations.<\/li>\n<li>Companies will gain detailed knowledge of their customers' preferences, allowing them to offer products with features that truly match these preferences. All of this is achieved through the massive analysis of data on their tastes and behaviors. <\/li>\n<li>They facilitate process automation, which also makes human resources more available to perform tasks that add value, rather than being engaged in repetitive operations.<\/li>\n<li>They improve the functioning of equipment, as they predict future breakdowns and, therefore, prevent unexpected production stoppages.<\/li>\n<li>Higher quality products will be manufactured, and customers will be more satisfied, reducing losses due to waste and returns.<\/li>\n<li>Savings <span>in <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/digitalizacion-logistica\/\">logistical <\/a>costs.<\/li>\n<\/ul><\/div>\n\t\t\t<\/div><div class=\"et_pb_module et_d4_element et_pb_image et_pb_image_0\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<span class=\"et_pb_image_wrap \"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/puntazo.sixphere.com\/wp-content\/uploads\/2021\/02\/SIXPHERE-Machine-learning-en-la-industria.jpg\" alt=\"SIXPHERE - Machine Learning in the Industry\" title=\"SIXPHERE - Machine Learning in the Industry\" srcset=\"https:\/\/sixphere.com\/wp-content\/uploads\/2021\/02\/SIXPHERE-Machine-learning-en-la-industria.jpg 1024w, https:\/\/sixphere.com\/wp-content\/uploads\/2021\/02\/SIXPHERE-Machine-learning-en-la-industria-980x735.jpg 980w, https:\/\/sixphere.com\/wp-content\/uploads\/2021\/02\/SIXPHERE-Machine-learning-en-la-industria-480x360.jpg 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) and (max-width: 980px) 980px, (min-width: 981px) 1024px, 100vw\" class=\"wp-image-18730\" \/><\/span>\n\t\t\t<\/div><div class=\"et_pb_button_module_wrapper et_pb_button_0_wrapper et_pb_button_alignment_center et_pb_module \">\n\t\t\t\t<a class=\"et_pb_button et_d4_element et_pb_button_0 et_pb_bg_layout_light et_block_module\" href=\"https:\/\/sixphere.com\/en\/project\/digitalization-of-lean-processes-and-5s-for-quality-assurance\/\" target=\"_blank\">Lean Digitalization and 5S for Quality Assurance. Read our use case <\/a>\n\t\t\t<\/div><div class=\"et_pb_module et_d4_element et_pb_text et_pb_text_5  et_pb_text_align_left et_pb_bg_layout_light\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_text_inner\"><h2>5 applications of machine learning in industry<\/h2>\n<p>All these advantages, and many more, are achieved thanks to an important and diverse list of<span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/webinar-industria-40\/\">applications that this technology has in industrial plants<\/a>. Here are 5 of the most notable ones: <\/p>\n<ol>\n<li>Predictive maintenance.<\/li>\n<li>Artificial vision.<\/li>\n<li>Quality control.<\/li>\n<li>Resource optimization.<\/li>\n<li>Product classification.<\/li>\n<\/ol>\n<h3>1.- Predictive maintenance<\/h3>\n<p>We have already talked about the predictive capability that machine learning provides. This influences the planning of machinery maintenance operations. Wouldn't it be great to know in advance which equipment is most likely to fail and when it will happen? This is possible thanks to machine learning, shaping the concept of   <span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/mantenimiento-predictivo\/\">predictive maintenance<\/a>.<\/p>\n<p>With this, we can anticipate and establish repair protocols that prevent the machine from breaking down completely and being unable to function for a period of time. Remember, downtime equals economic losses. <\/p>\n<h3>2.- Artificial vision techniques<\/h3>\n<p>Artificial vision, computer vision, or machine vision are the different ways to refer to this technology that combines machine learning algorithms with images received from a camera.<\/p>\n<p>In this way, the algorithms will process the collected images and extract value from them. This greatly multiplies the speed and reliability of visual inspections, eliminating human factors such as fatigue and biases inherent to our condition. <\/p>\n<h3>3.- Quality control<\/h3>\n<p>It is important to highlight how quality control of raw materials, intermediate products, and finished goods has evolved thanks to the contribution of machine learning.<\/p>\n<p>In the previous section, we referred to artificial vision. Well, one of its main uses is to determine the quality of resources on the production line. For example, with computer vision, it is easier and faster to identify defects, some of which are imperceptible to the human eye.  <\/p>\n<p>But machine learning and quality are not only related to artificial vision; there are also variables that are measured with sensors, such as temperature, pressure, vibration, etc. Data that is continuously collected and processed. For example, in the food industry, detecting packaging temperatures below the established threshold can be indicative of the fact that the product will not be suitable for consumption.  <\/p>\n<h3>4.- Resource optimization<\/h3>\n<p>Machine learning can work with all kinds of information within the plant, data related to both material and human resources.<\/p>\n<p>This means that with the interpreted information we can extract from machine learning systems, we have a more realistic and updated view of everything that is happening in the<span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/hacia-la-fabrica-inteligente\/\">smart factory<\/a>. This way, managers will be able to define truly effective strategies that align with what the situation really demands. <\/p>\n<p>A clear example of this is the possibility <span>of <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/proposicion-inteligente-tareas\/\">optimally organizing employees' tasks<\/a>, so that they align with their workload, skills, experience, authorizations, and <span>even <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/beacons-control-movilidad-plantas\/\">location<\/a>.<\/p>\n<h3>5.- Product classification<\/h3>\n<p>Finally, we have a point that we can relate to some of the previous ones, such as the<span> <\/span><a href=\"https:\/\/sixphere.com\/en\/blog\/what-is-the-purpose-of-quality-control-in-a-company\/\">quality control<\/a><span> <\/span>and artificial vision. Both sensors and cameras help identify aspects that will be decisive for classifying products based on the measured parameters. <\/p>\n<p>Let's see an example of this. We have a company that collects and markets oranges. Depending on the presence of certain defects recognized through computer vision, some oranges will go directly to the market; others, more defective, will be used to make juice; and there will be others that will have to be discarded.  <\/p>\n<p>As you can see, machine learning is not a technology you should overlook within the<span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/blog\/herramientas-direccion-operaciones\/\">operations control<\/a><span> <\/span>in your industry. In fact, successful companies have been using it in their routines for years. <\/p>\n<p>Are you going to be less? Since <span> <\/span><a href=\"https:\/\/puntazo.sixphere.com\/\">Sixphere<\/a><span> <\/span>We provide you with solutions that apply the principles of this technology so that your factory hides no secrets from you. Do you want to know more? Here we are.<\/p><\/div>\n\t\t\t<\/div><div class=\"et_pb_button_module_wrapper et_pb_button_1_wrapper et_pb_button_alignment_center et_pb_module \">\n\t\t\t\t<a class=\"et_pb_button et_d4_element et_pb_button_1 et_pb_bg_layout_light et_block_module\" href=\"https:\/\/puntazo.sixphere.com\/polaris\/\" target=\"_blank\">Discover how to intelligently manage your production<\/a>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div><div class=\"et_d4_element et_pb_section et_pb_section_1  et_pb_css_mix_blend_mode et_section_specialty section_has_divider et_pb_top_divider et_block_section\" >\n\t\t\t\t<div class=\"et_pb_top_inside_divider et-no-transition\"><\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_row et_block_row et_d4_element\">\n\t\t\t\t<div class=\"et_d4_element et_pb_column_2_3 et_pb_column et_pb_column_2   et_pb_specialty_column  et_pb_css_mix_blend_mode et_block_column\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_d4_element et_pb_row_inner et_pb_row_inner_0  et_pb_css_mix_blend_mode et_block_row\">\n\t\t\t\t<div class=\"et_pb_column et_pb_column_4_4 et_d4_element et_pb_column_inner et_pb_column_inner_0  et_pb_css_mix_blend_mode et-last-child et_block_column\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_with_border et_pb_module et_d4_element et_pb_blog_0 et_animated  et_pb_css_mix_blend_mode et_pb_blog_grid_wrapper et_pb_bg_layout_light\">\n\t\t\t\t\t<div class=\"et_pb_blog_grid clearfix \">\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<div class=\"et_pb_ajax_pagination_container\">\n\t\t\t\t\t\t<div class=\"et_pb_salvattore_content\" data-columns>\n\t\t\t<article id=\"post-25657\" class=\"et_pb_post clearfix et_pb_blog_item_0_0 post-25657 post type-post status-publish format-standard has-post-thumbnail hentry category-automation-iiot category-ia-machine-learning-en category-sin-categoria category-technology-innovation tag-digital-transformation tag-edge-iot-en tag-machine-learning-en\">\n\n\t\t\t\t<div class=\"et_pb_image_container\"><a href=\"https:\/\/sixphere.com\/en\/blog\/from-pixels-to-action-how-we-developed-the-brain-of-an-autonomous-rover-with-embedded-computer-vision\/\" class=\"entry-featured-image-url\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/sixphere.com\/wp-content\/uploads\/2025\/10\/rover-400x250.png\" alt=\"From pixels to action: how we developed the brain of an autonomous rover with embedded computer vision\" class=\"\" srcset=\"https:\/\/sixphere.com\/wp-content\/uploads\/2025\/10\/rover-e1760106930778.png 479w, https:\/\/sixphere.com\/wp-content\/uploads\/2025\/10\/rover-400x250.png 480w \" sizes=\"(max-width:479px) 479px, 100vw \"  width=\"400\" height=\"250\" \/><\/a><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h4 class=\"entry-title\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/sixphere.com\/en\/blog\/from-pixels-to-action-how-we-developed-the-brain-of-an-autonomous-rover-with-embedded-computer-vision\/\">From pixels to action: how we developed the brain of an autonomous rover with embedded computer vision<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t<div class=\"post-content\"><div class=\"post-content-inner\"><p>Our team faced the challenge of developing the complete brain for an autonomous rover, a system that required visual perception and real-time decision-making on low-power hardware. This case study is a technical deep dive into our process: from the implementation of the Mask R-CNN segmentation model for accurate object identification, to the acceleration of performance on a Raspberry Pi using a Coral TPU accelerator. Discover how we overcame the challenges of model optimization and quantization in TensorFlow to deliver a robust and efficient Edge AI solution for intelligent automation.  <\/p>\n<\/div><\/div>\t\t\t\n\t\t\t<\/article>\n\t\t\t\t\n\t\t\t<article id=\"post-24559\" class=\"et_pb_post clearfix et_pb_blog_item_0_1 post-24559 post type-post status-publish format-standard has-post-thumbnail hentry category-digitalization category-paperless-document-management category-production tag-document-management tag-industry-4-0 tag-paperless-en\">\n\n\t\t\t\t<div class=\"et_pb_image_container\"><a href=\"https:\/\/sixphere.com\/en\/blog\/json-schema-and-its-role-in-document-digitalization\/\" class=\"entry-featured-image-url\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/sixphere.com\/wp-content\/uploads\/2024\/12\/pexels-tima-miroshnichenko-5717310-1-400x250.jpg\" alt=\"JSON Schema and its role in document digitalization\" class=\"\" srcset=\"https:\/\/sixphere.com\/wp-content\/uploads\/2024\/12\/pexels-tima-miroshnichenko-5717310-1-scaled.jpg 479w, https:\/\/sixphere.com\/wp-content\/uploads\/2024\/12\/pexels-tima-miroshnichenko-5717310-1-400x250.jpg 480w \" sizes=\"(max-width:479px) 479px, 100vw \"  width=\"400\" height=\"250\" \/><\/a><\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<h4 class=\"entry-title\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/sixphere.com\/en\/blog\/json-schema-and-its-role-in-document-digitalization\/\">JSON Schema and its role in document digitalization<\/a>\n\t\t\t\t\t\t\t\t\t\t\t<\/h4>\n\t\t\t\t\n\t\t\t\t\t<div class=\"post-content\"><div class=\"post-content-inner\"><p>In the industrial sector, all manufacturing processes and items are documented. In this blog, we present the benefits of using the JSON Schema standard and the power of this technology when integrated with the Formly library to visualize and manage paperless documentation, eliminating large volumes of physical paper. <\/p>\n<\/div><\/div>\t\t\t\n\t\t\t<\/article>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div> \n\t\t\t\t<\/div><div class=\"et_pb_button_module_wrapper et_pb_button_2_wrapper et_pb_button_alignment_center et_pb_module \">\n\t\t\t\t<a class=\"et_pb_button et_d4_element et_pb_button_2 et_pb_bg_layout_light et_block_module\" href=\"\/blog\">All blogs<\/a>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t<\/div><div class=\"et_d4_element et_pb_column_1_3 et_pb_column et_pb_column_3    et_pb_css_mix_blend_mode et_block_column\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_module et_d4_element et_pb_cta_0 et_animated et_pb_promo  et_pb_text_align_right et_pb_bg_layout_dark\">\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t<div class=\"et_pb_promo_description\"><h2 class=\"et_pb_module_header\">The success stories of Sixphere<\/h2><div><p><i class=\"fas fa-code fa-2x\"><\/i><\/p>\n<p>Do you want to know what we do and how we do it? Visit our success stories and ask us anything you need to know. <\/p><\/div><\/div>\n\t\t\t\t<div class=\"et_pb_button_wrapper\"><a class=\"et_pb_button et_pb_promo_button\" href=\"\/casos-de-exito\">Success stories<\/a><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t<\/div>\n","protected":false},"excerpt":{"rendered":"<p>As we know you like to stay up to date with the latest technology applied to your factory, the term machine learning won&#8217;t be unfamiliar to you. You\u2019ve probably heard it many times and might even know its basic principles. But do you truly know in which aspects of your plant it\u2019s really useful and how this is possible? Don\u2019t put it off any longer and dive into this reading with us.   <\/p>\n","protected":false},"author":3,"featured_media":23958,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[195,182,169],"tags":[191,172,196],"class_list":["post-24612","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ia-machine-learning-en","category-industry-4-0","category-production","tag-industrial-sector","tag-industry-4-0","tag-machine-learning-en"],"acf":{"cuerpo":"<h2>What is machine learning?<\/h2>\n<p>Machine learning is the process by which a functional unit improves its performance by acquiring new knowledge or skills, or by reorganizing existing knowledge or skills. This is the definition provided by the International Organization for Standardization (ISO) in the standard <span> <\/span><a href=\"https:\/\/www.iso.org\/obp\/ui\/#iso:std:iso-iec:2382:-31:ed-1:v1:en\">ISO\/IEC 2382-31:1997<\/a>, on information technology.<\/p>\n<p>Machine learning is a branch of artificial intelligence that works through algorithms that process the data constantly received by the machine. Therefore, we can state that the system learns without the need to be programmed. In this way, it recognizes patterns and is capable of drawing conclusions on its own.  <\/p>\n<h2>Machine learning and Industry 4.0<\/h2>\n<p>Extracting value from the data generated by the daily activities of a company is key to improving processes, and therefore, machine learning must be highly present.<\/p>\n<p>This implies that it is necessary to eradicate the mindset of many<span> <\/span><a href=\"https:\/\/sixphere.com\/blog\/herramientas-responsable-planta\/\">industrial managers<\/a><span> <\/span>some ideas that hinder this growth. Notably, we can refer to the <span> <\/span><a href=\"https:\/\/www.idc.com\/getdoc.jsp?containerId=IDC_P31626\">report<\/a><span> <\/span>IDC report that highlights the main obstacles in this regard:<\/p>\n<ul>\n<li>More than 75% of the companies surveyed claim that analyzing daily data prevents them from taking advantage of business opportunities.<\/li>\n<li>More than 50% admitted that it limits the effectiveness of operations.<\/li>\n<li>27% confessed that it negatively impacts <span>their <\/span><a href=\"https:\/\/sixphere.com\/project\/gestion-produccion-alestis\/\">productivity <\/a><span>and <\/span>agility.<\/li>\n<\/ul>\n<p>But we also have positive figures that give reason for hope. For example, we have the <span> <\/span><a href=\"https:\/\/marketing.global.fujitsu.com\/rs\/807-GYW-324\/images\/Folleto-Estudio-predictivo.pdf\">presented by Fujitsu<\/a><span> <\/span>in their study on predictive maintenance and Industry 4.0. According to this, more than half of the participants indicate that their most critical assets are sensorized with devices from <span> <\/span><a href=\"https:\/\/sixphere.com\/blog\/iot-industria40\/\">IoT (Internet of Things)<\/a>.<\/p><h2>Advantages of applying machine learning in industry<\/h2>\n<p>Machine learning is a valuable resource throughout almost the entire<span> <\/span><a href=\"https:\/\/sixphere.com\/blog\/smart-supply-chain-industria\/\">supply chain<\/a>. Therefore, the application of these tools is one of the essentials of Industry 4.0. Among the main benefits that companies will enjoy by implementing them are:  <\/p>\n<ul>\n<li>A higher level of planning, as one of the most valuable qualities of machine learning is its predictive capability. By having these solutions, companies will have a clearer view of what is to come and will be able to act accordingly. <\/li>\n<li>In addition to anticipating demand peaks and valleys, machine learning enables industries to know how prepared they are for these situations.<\/li>\n<li>Companies will gain detailed knowledge of their customers' preferences, allowing them to offer products with features that truly match these preferences. All of this is achieved through the massive analysis of data on their tastes and behaviors. <\/li>\n<li>They facilitate process automation, which also makes human resources more available to perform tasks that add value, rather than being engaged in repetitive operations.<\/li>\n<li>They improve the functioning of equipment, as they predict future breakdowns and, therefore, prevent unexpected production stoppages.<\/li>\n<li>Higher quality products will be manufactured, and customers will be more satisfied, reducing losses due to waste and returns.<\/li>\n<li>Savings <span>in <\/span><a href=\"https:\/\/sixphere.com\/blog\/digitalizacion-logistica\/\">logistical <\/a>costs.<\/li>\n<\/ul><img src=\"https:\/\/sixphere.com\/wp-content\/uploads\/2021\/02\/SIXPHERE-Machine-learning-en-la-industria.jpg\" alt=\"SIXPHERE - Machine Learning in the Industry\" title_text=\"SIXPHERE - Machine learning en la industria\" align=\"center\" _builder_version=\"4.8.2\" hover_enabled=\"0\" sticky_enabled=\"0\"><h2>5 applications of machine learning in industry<\/h2>\n<p>All these advantages, and many more, are achieved thanks to an important and diverse list of<span> <\/span><a href=\"https:\/\/sixphere.com\/webinar-industria-40\/\">applications that this technology has in industrial plants<\/a>. Here are 5 of the most notable ones: <\/p>\n<ol>\n<li>Predictive maintenance.<\/li>\n<li>Artificial vision.<\/li>\n<li>Quality control.<\/li>\n<li>Resource optimization.<\/li>\n<li>Product classification.<\/li>\n<\/ol>\n<h3>1.- Predictive maintenance<\/h3>\n<p>We have already talked about the predictive capability that machine learning provides. This influences the planning of machinery maintenance operations. Wouldn't it be great to know in advance which equipment is most likely to fail and when it will happen? This is possible thanks to machine learning, shaping the concept of   <span> <\/span><a href=\"https:\/\/sixphere.com\/blog\/mantenimiento-predictivo\/\">predictive maintenance<\/a>.<\/p>\n<p>With this, we can anticipate and establish repair protocols that prevent the machine from breaking down completely and being unable to function for a period of time. Remember, downtime equals economic losses. <\/p>\n<h3>2.- Artificial vision techniques<\/h3>\n<p>Artificial vision, computer vision, or machine vision are the different ways to refer to this technology that combines machine learning algorithms with images received from a camera.<\/p>\n<p>In this way, the algorithms will process the collected images and extract value from them. This greatly multiplies the speed and reliability of visual inspections, eliminating human factors such as fatigue and biases inherent to our condition. <\/p>\n<h3>3.- Quality control<\/h3>\n<p>It is important to highlight how quality control of raw materials, intermediate products, and finished goods has evolved thanks to the contribution of machine learning.<\/p>\n<p>In the previous section, we referred to artificial vision. Well, one of its main uses is to determine the quality of resources on the production line. For example, with computer vision, it is easier and faster to identify defects, some of which are imperceptible to the human eye.  <\/p>\n<p>But machine learning and quality are not only related to artificial vision; there are also variables that are measured with sensors, such as temperature, pressure, vibration, etc. Data that is continuously collected and processed. For example, in the food industry, detecting packaging temperatures below the established threshold can be indicative of the fact that the product will not be suitable for consumption.  <\/p>\n<h3>4.- Resource optimization<\/h3>\n<p>Machine learning can work with all kinds of information within the plant, data related to both material and human resources.<\/p>\n<p>This means that with the interpreted information we can extract from machine learning systems, we have a more realistic and updated view of everything that is happening in the<span> <\/span><a href=\"https:\/\/sixphere.com\/hacia-la-fabrica-inteligente\/\">smart factory<\/a>. This way, managers will be able to define truly effective strategies that align with what the situation really demands. <\/p>\n<p>A clear example of this is the possibility <span>of <\/span><a href=\"https:\/\/sixphere.com\/blog\/proposicion-inteligente-tareas\/\">optimally organizing employees' tasks<\/a>, so that they align with their workload, skills, experience, authorizations, and <span>even <\/span><a href=\"https:\/\/sixphere.com\/blog\/beacons-control-movilidad-plantas\/\">location<\/a>.<\/p>\n<h3>5.- Product classification<\/h3>\n<p>Finally, we have a point that we can relate to some of the previous ones, such as the<span> <\/span><a href=\"https:\/\/sixphere.com\/en\/blog\/what-is-the-purpose-of-quality-control-in-a-company\/\">quality control<\/a><span> <\/span>and artificial vision. Both sensors and cameras help identify aspects that will be decisive for classifying products based on the measured parameters. <\/p>\n<p>Let's see an example of this. We have a company that collects and markets oranges. Depending on the presence of certain defects recognized through computer vision, some oranges will go directly to the market; others, more defective, will be used to make juice; and there will be others that will have to be discarded.  <\/p>\n<p>As you can see, machine learning is not a technology you should overlook within the<span> <\/span><a href=\"https:\/\/sixphere.com\/blog\/herramientas-direccion-operaciones\/\">operations control<\/a><span> <\/span>in your industry. In fact, successful companies have been using it in their routines for years. <\/p>\n<p>Are you going to be less? Since <span> <\/span><a href=\"https:\/\/sixphere.com\/en\/\">Sixphere<\/a><span> <\/span>We provide you with solutions that apply the principles of this technology so that your factory hides no secrets from you. Do you want to know more? Here we are.<\/p><p><i class=\"fas fa-code fa-2x\"><\/i><\/p>\n<p>Do you want to know what we do and how we do it? Visit our success stories and ask us anything you need to know. <\/p>","clasificacion":"Normal"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>5 applications of machine learning in industry - Sixphere - Innovaci\u00f3n que conecta<\/title>\n<meta name=\"description\" content=\"Do you know in which aspects of your industry machine learning is truly beneficial and how this is possible?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sixphere.com\/en\/blog\/5-applications-of-machine-learning-in-industry\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"5 applications of machine learning in industry - Sixphere - Innovaci\u00f3n que conecta\" \/>\n<meta property=\"og:description\" content=\"Do you know in which aspects of your industry machine learning is truly beneficial and how this is possible?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sixphere.com\/en\/blog\/5-applications-of-machine-learning-in-industry\/\" \/>\n<meta property=\"og:site_name\" content=\"Sixphere - 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