{"id":3749,"date":"2025-07-10T03:19:35","date_gmt":"2025-07-10T01:19:35","guid":{"rendered":"https:\/\/implementi.ai\/2025\/07\/10\/open-vs-closed-ai-models-gm-zoom-and-ibm-leaders-discuss-the-trade-offs-for-enterprise-use\/"},"modified":"2025-07-10T03:19:35","modified_gmt":"2025-07-10T01:19:35","slug":"modelos-de-ai-abiertos-frente-a-cerrados-los-lideres-de-gm-zoom-e-ibm-debaten-las-ventajas-y-desventajas-para-el-uso-empresarial","status":"publish","type":"post","link":"https:\/\/implementi.ai\/es\/2025\/07\/10\/open-vs-closed-ai-models-gm-zoom-and-ibm-leaders-discuss-the-trade-offs-for-enterprise-use\/","title":{"rendered":"Modelos de IA abiertos frente a cerrados: L\u00edderes de GM, Zoom e IBM debaten las ventajas y desventajas del uso empresarial."},"content":{"rendered":"<div>\n<p>\nOne of the most pressing issues faced by tech leaders across various sectors comes down to a simple but impactful choice \u2013 do we opt for an open or a closed AI model? It\u2019s a question that\u2019s been stirring discussions among the tech vanguard for quite a while now, but even as AI develops at a breakneck pace, the selection between a closed or open AI model is still a crucial decision point for businesses across all industries.\n<\/p>\n<p>\nPara profundizar en esta cuesti\u00f3n, tres pesos pesados del sector, General Motors, Zoom e IBM, compartieron recientemente sus experiencias y puntos de vista sobre este tema tan pertinente. Ofrecieron una mirada introspectiva sobre c\u00f3mo sus respectivas empresas y clientes navegan por el camino cr\u00edtico de la selecci\u00f3n de modelos de IA. Su experiencia arroja luz sobre las ventajas y desventajas que las empresas deben tener en cuenta a la hora de elegir entre modelos abiertos y cerrados para la aplicaci\u00f3n de la IA.\n<\/p>\n<h2>Modelos de IA abiertos frente a cerrados<\/h2>\n<p>\nLet\u2019s first understand the basic distinction between these models. An open AI model is generally considered to be more transparent, ensuring that users can understand and manage the model\u2019s reasoning. The key characteristic of an open model is interpretability, enabling users to comprehend the model\u2019s decision-making process and trust its outcomes.\n<\/p>\n<p>\nIn contrast, closed AI models (also known as \u2018black boxes\u2019) typically operate on a more complex logic that may not be as comprehensible to its users. Such models offer less transparency but could potentially deliver more accurate predictions or better performance for specific, complex tasks.\n<\/p>\n<p>\nAunque pueda parecer que esta distinci\u00f3n ofrece una elecci\u00f3n clara, la realidad dista mucho de ser as\u00ed. Los veteranos de la tecnolog\u00eda saben que cada modelo tiene sus propias ventajas y limitaciones.\n<\/p>\n<h2>Compromisos y decisiones<\/h2>\n<p>\nPor su parte, empresas como General Motors, Zoom e IBM no adoptan un enfoque \u00fanico a la hora de seleccionar modelos de IA. Su proceso de toma de decisiones est\u00e1 determinado por m\u00faltiples consideraciones, como la privacidad de los datos, la complejidad de las tareas de IA, la confianza y la transparencia, y el cumplimiento de la normativa, entre otras.\n<\/p>\n<p>\nFor instance, an auto manufacturing company might lean towards a more closed model that doesn\u2019t compromise any proprietary design data. On the other hand, a video conferencing platform like Zoom could prefer an open model that allows for user-friendly troubleshooting in real-time to optimize its user experience. Meanwhile, a tech-oldie like IBM might adapt its choice based on specific customer demands or regulatory requirements.\n<\/p>\n<p>\nAs the industry evolves, so too do the considerations that inform these decisions. What\u2019s crucial is that businesses become aware of the distinct trade-offs associated with each choice and, in essence, the fact that the suitability of an AI model\u2019s openness or closeness depends largely on its intended use and the specific needs of the user base.\n<\/p>\n<p>\nAl compartir sus valiosas ideas y experiencias, los l\u00edderes de estos pesos pesados de la tecnolog\u00eda han destacado un aspecto esencial que todas las empresas que adoptan la IA deben tener en cuenta: la elecci\u00f3n entre modelos de IA abiertos o cerrados no puede hacerse de forma aislada. Requiere una comprensi\u00f3n profunda de las implicaciones del modelo, las necesidades de la base de usuarios y las ramificaciones \u00e9ticas, legales y espec\u00edficas del sector. La conversaci\u00f3n no termina aqu\u00ed; es un debate continuo a medida que la IA sigue evolucionando y dando forma a nuestro futuro.\n<\/p>\n<p>\nPara una lectura detallada, consulte el debate original en VentureBeat: <a href=\"https:\/\/venturebeat.com\/ai\/open-vs-closed-models-ai-leaders-from-gm-zoom-and-ibm-weigh-trade-offs-for-enterprise-use\/\" target=\"_blank\" rel=\"noopener\">Seguir leyendo<\/a>.\n<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>One of the most pressing issues faced by tech leaders across various sectors comes down to a simple but impactful choice \u2013 do we opt for an open or a closed AI model? It\u2019s a question that\u2019s been stirring discussions among the tech vanguard for quite a while now, but even as AI develops at a breakneck pace, the selection [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3750,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[26],"tags":[],"class_list":["post-3749","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-automation"],"featured_image_src":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3749-1024x683.png","blog_images":{"medium":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3749-300x200.png","large":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3749-1024x683.png"},"ams_acf":[],"jetpack_featured_media_url":"https:\/\/implementi.ai\/wp-content\/uploads\/2025\/07\/3749.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/posts\/3749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/comments?post=3749"}],"version-history":[{"count":0,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/posts\/3749\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/media\/3750"}],"wp:attachment":[{"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/media?parent=3749"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/categories?post=3749"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/implementi.ai\/es\/wp-json\/wp\/v2\/tags?post=3749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}