{"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":"offene-vs-geschlossene-ki-modelle-gm-zoom-und-ibm-fuhrungskrafte-diskutieren-die-nachteile-fur-den-unternehmenseinsatz","status":"publish","type":"post","link":"https:\/\/implementi.ai\/de\/2025\/07\/10\/open-vs-closed-ai-models-gm-zoom-and-ibm-leaders-discuss-the-trade-offs-for-enterprise-use\/","title":{"rendered":"Offene vs. geschlossene KI-Modelle: GM-, Zoom- und IBM-F\u00fchrungskr\u00e4fte er\u00f6rtern die Nachteile f\u00fcr den Einsatz in Unternehmen"},"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>\nUm sich eingehend mit diesem Thema zu befassen, haben drei Branchengr\u00f6\u00dfen von General Motors, Zoom und IBM k\u00fcrzlich ihre Erfahrungen und Erkenntnisse zu diesem wichtigen Thema ausgetauscht. Sie gaben einen Einblick, wie ihre jeweiligen Unternehmen und Kunden den kritischen Weg der Auswahl von KI-Modellen beschreiten. Ihr Fachwissen beleuchtet die Kompromisse, die Unternehmen bei der Wahl zwischen offenen und geschlossenen Modellen f\u00fcr KI-Anwendungen ber\u00fccksichtigen m\u00fcssen.\n<\/p>\n<h2>Offene vs. geschlossene KI-Modelle<\/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>\nAuch wenn diese Unterscheidung eine klare Entscheidung zu erm\u00f6glichen scheint, sieht die Realit\u00e4t ganz anders aus. Tech-Veteranen wissen, dass jedes Modell seine eigenen Vorteile und Einschr\u00e4nkungen mit sich bringt.\n<\/p>\n<h2>Kompromisse und Entscheidungen<\/h2>\n<p>\nUnternehmen wie General Motors, Zoom und IBM verfolgen bei der Auswahl von KI-Modellen keinen einheitlichen Ansatz. Ihre Entscheidungsfindung wird von verschiedenen Faktoren beeinflusst, darunter Datenschutz, Komplexit\u00e4t der KI-Aufgaben, Vertrauen und Transparenz sowie die Einhaltung gesetzlicher Vorschriften.\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>\nDurch den Austausch ihrer wertvollen Erkenntnisse und Erfahrungen haben die F\u00fchrungskr\u00e4fte dieser Technologiegiganten einen wesentlichen Aspekt hervorgehoben, den alle Unternehmen, die KI einsetzen, ber\u00fccksichtigen m\u00fcssen: Die Entscheidung zwischen offenen und geschlossenen KI-Modellen kann nicht isoliert getroffen werden. Sie erfordert ein gr\u00fcndliches Verst\u00e4ndnis der Auswirkungen des Modells, der Bed\u00fcrfnisse der Nutzer und der ethischen, rechtlichen und branchenspezifischen Folgen. Die Diskussion ist damit noch nicht beendet, sondern wird fortgesetzt, da sich die KI weiterentwickelt und unsere Zukunft pr\u00e4gt.\n<\/p>\n<p>\nAusf\u00fchrliche Informationen finden Sie in der Originaldiskussion auf 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\">Mehr lesen<\/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\/de\/wp-json\/wp\/v2\/posts\/3749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/comments?post=3749"}],"version-history":[{"count":0,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/posts\/3749\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/media\/3750"}],"wp:attachment":[{"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/media?parent=3749"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/categories?post=3749"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/implementi.ai\/de\/wp-json\/wp\/v2\/tags?post=3749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}