{"id":116841,"date":"2022-08-10T08:20:00","date_gmt":"2022-08-10T06:20:00","guid":{"rendered":"http:\/\/e3mag.com\/?p=116841"},"modified":"2024-01-19T11:20:42","modified_gmt":"2024-01-19T10:20:42","slug":"aprendizaje-automatico-sobre-la-marcha","status":"publish","type":"post","link":"https:\/\/e3mag.com\/es\/aprendizaje-automatico-sobre-la-marcha\/","title":{"rendered":"El aprendizaje autom\u00e1tico, en alza"},"content":{"rendered":"<p>El estudio \"Machine Learning in Production\" de AllCloud muestra claramente que las empresas han reconocido el gran potencial del Machine Learning (ML) en el \u00e1mbito de la fabricaci\u00f3n y la producci\u00f3n. Casi una de cada dos empresas de producci\u00f3n tiene previsto optimizar los sistemas de ML utilizados. El 41% quiere aumentar a\u00fan m\u00e1s el uso y ampliarlo a otras \u00e1reas. Hay muchas razones para ello: Los modelos de ML, por ejemplo, pueden influir significativamente en el \u00e9xito de una empresa y ser decisivos para su orientaci\u00f3n estrat\u00e9gica. Actualmente, los principales campos de aplicaci\u00f3n son la garant\u00eda y el control de la calidad (con un 37% de las empresas encuestadas), la log\u00edstica y la ampliaci\u00f3n de inventarios (con un 25%), la optimizaci\u00f3n del proceso de producci\u00f3n (con un 24%) y el mantenimiento predictivo (tambi\u00e9n con un 24%). Las ventajas de utilizar el ML son inmensas. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"624\" src=\"https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800.jpg\" alt=\"\" class=\"wp-image-116843\" srcset=\"https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800.jpg 800w, https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800-768x599.jpg 768w, https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800-100x78.jpg 100w, https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800-480x374.jpg 480w, https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800-640x499.jpg 640w, https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/AllCloud-Focuspoint-2-5_800-720x562.jpg 720w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><figcaption><em>\u00bfEn qu\u00e9 necesitan ayuda las empresas? <\/em><br><em>Base: 202 empresas, posibilidad de respuestas m\u00faltiples. Fuente: AllCloud.<\/em><\/figcaption><\/figure>\n\n\n\n<p>Un beneficio importante es el ahorro de costes, que se produce para el 45% de los encuestados. Adem\u00e1s, el 42 por ciento afirma que se ha logrado una optimizaci\u00f3n de la producci\u00f3n. El 41 por ciento ve un aumento de la productividad, el 34 por ciento una aceleraci\u00f3n de los procesos y el 32 por ciento una reducci\u00f3n de la carga de trabajo de los empleados gracias al uso del aprendizaje autom\u00e1tico. S\u00f3lo el dos por ciento de las empresas de producci\u00f3n puede implementar de forma independiente sus planes de futuro en el \u00e1rea de las tecnolog\u00edas ML. En consecuencia, el 98 por ciento de los encuestados afirma depender de proveedores de servicios externos. Esta necesidad se debe a la falta de experiencia de las empresas en el \u00e1rea de modelos y herramientas de ML y a la escasez de trabajadores cualificados. Las empresas encuestadas carecen de expertos que conozcan el uso, los campos de aplicaci\u00f3n y el potencial de los sistemas de ML y puedan desarrollarlos para la empresa. Los proveedores de servicios externos tambi\u00e9n son indispensables para los requisitos t\u00e9cnicos y el desarrollo de estrategias individuales de ML.<\/p>","protected":false},"excerpt":{"rendered":"<p>Las empresas han reconocido el potencial del aprendizaje autom\u00e1tico. Sin embargo, faltan los conocimientos y los trabajadores cualificados necesarios.<\/p>","protected":false},"author":38,"featured_media":116842,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","footnotes":""},"categories":[2,40957],"tags":[145,480,40960,5207],"coauthors":[19920],"class_list":["post-116841","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sap-nachrichten","category-mag-22-07","tag-automatisierung","tag-machine-learning","tag-mag-22-07","tag-sapanoptikum","pmpro-has-access"],"acf":[],"featured_image_urls_v2":{"full":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"thumbnail":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-150x150.jpg",150,150,true],"medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",400,180,false],"medium_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-768x346.jpg",768,346,true],"large":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"image-100":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-100x45.jpg",100,45,true],"image-480":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-480x216.jpg",480,216,true],"image-640":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-640x288.jpg",640,288,true],"image-720":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-720x324.jpg",720,324,true],"image-960":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-960x432.jpg",960,432,true],"image-1168":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"image-1440":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"image-1920":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"1536x1536":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"2048x2048":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"trp-custom-language-flag":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",18,8,false],"bricks_large_16x9":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"bricks_large":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"bricks_large_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",1000,450,false],"bricks_medium":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",600,270,false],"bricks_medium_square":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution.jpg",600,270,false],"profile_24":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-24x24.jpg",24,24,true],"profile_48":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-48x48.jpg",48,48,true],"profile_96":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-96x96.jpg",96,96,true],"profile_150":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-150x150.jpg",150,150,true],"profile_300":["https:\/\/e3mag.com\/wp-content\/uploads\/2022\/08\/shutterstock_389760973_PureSolution-300x300.jpg",300,300,true]},"post_excerpt_stackable_v2":"<p>Unternehmen haben das Potenzial von Machine Learning erkannt. Die n\u00f6tige Expertise und Fachkr\u00e4fte fehlen jedoch.<\/p>\n","category_list_v2":"<a href=\"https:\/\/e3mag.com\/es\/categoria\/noticias-sap\/\" rel=\"category tag\">Community Nachrichten<\/a>, <a href=\"https:\/\/e3mag.com\/es\/categoria\/mag-22-07\/\" rel=\"category tag\">Mag 22-07<\/a>","author_info_v2":{"name":"Revista E-3","url":"https:\/\/e3mag.com\/es\/author\/e-3-magazin\/"},"comments_num_v2":"0 comentarios","_links":{"self":[{"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/posts\/116841","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/comments?post=116841"}],"version-history":[{"count":1,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/posts\/116841\/revisions"}],"predecessor-version":[{"id":137458,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/posts\/116841\/revisions\/137458"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/media\/116842"}],"wp:attachment":[{"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/media?parent=116841"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/categories?post=116841"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/tags?post=116841"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/e3mag.com\/es\/wp-json\/wp\/v2\/coauthors?post=116841"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}