{"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":"otwarte-i-zamkniete-modele-sztucznej-inteligencji-liderzy-gm-zoom-i-ibm-omawiaja-kompromisy-w-zastosowaniach-korporacyjnych","status":"publish","type":"post","link":"https:\/\/implementi.ai\/pl\/2025\/07\/10\/open-vs-closed-ai-models-gm-zoom-and-ibm-leaders-discuss-the-trade-offs-for-enterprise-use\/","title":{"rendered":"Otwarte vs. zamkni\u0119te modele sztucznej inteligencji: Liderzy GM, Zoom i IBM omawiaj\u0105 kompromisy w zastosowaniach korporacyjnych"},"content":{"rendered":"
\n

\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

\nAby zag\u0142\u0119bi\u0107 si\u0119 w sedno tej kwestii, trzech przedstawicieli bran\u017cy z General Motors, Zoom i IBM podzieli\u0142o si\u0119 ostatnio swoimi do\u015bwiadczeniami i spostrze\u017ceniami na ten istotny temat. Zaproponowali oni introspektywne spojrzenie na to, jak ich firmy i klienci poruszaj\u0105 si\u0119 po krytycznej \u015bcie\u017cce wyboru modelu AI. Ich wiedza rzuca \u015bwiat\u0142o na kompromisy, kt\u00f3re przedsi\u0119biorstwa musz\u0105 wzi\u0105\u0107 pod uwag\u0119 przy wyborze mi\u0119dzy otwartymi i zamkni\u0119tymi modelami dla aplikacji AI.\n<\/p>\n

Otwarte i zamkni\u0119te modele sztucznej inteligencji<\/h2>\n

\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

\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

\nPodczas gdy to rozr\u00f3\u017cnienie mo\u017ce wydawa\u0107 si\u0119 jednoznacznym wyborem, rzeczywisto\u015b\u0107 jest daleka od tego. Weterani technologii wiedz\u0105, \u017ce ka\u017cdy model ma sw\u00f3j unikalny zestaw zalet i ogranicze\u0144.\n<\/p>\n

Kompromisy i decyzje<\/h2>\n

\nZe swojej strony, firmy takie jak General Motors, Zoom i IBM nie stosuj\u0105 uniwersalnego podej\u015bcia do wyboru modeli AI. Ich proces decyzyjny jest kszta\u0142towany przez wiele czynnik\u00f3w, takich jak mi\u0119dzy innymi prywatno\u015b\u0107 danych, z\u0142o\u017cono\u015b\u0107 zada\u0144 AI, zaufanie i przejrzysto\u015b\u0107 oraz zgodno\u015b\u0107 z przepisami.\n<\/p>\n

\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

\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

\nDziel\u0105c si\u0119 swoimi bezcennymi spostrze\u017ceniami i do\u015bwiadczeniami, liderzy tych technologicznych potentat\u00f3w podkre\u015blili istotny aspekt, kt\u00f3ry musz\u0105 wzi\u0105\u0107 pod uwag\u0119 wszystkie firmy wdra\u017caj\u0105ce sztuczn\u0105 inteligencj\u0119 - wyb\u00f3r mi\u0119dzy otwartymi a zamkni\u0119tymi modelami sztucznej inteligencji nie mo\u017ce by\u0107 dokonywany w izolacji. Wymaga on dog\u0142\u0119bnego zrozumienia implikacji modelu, potrzeb bazy u\u017cytkownik\u00f3w oraz konsekwencji etycznych, prawnych i bran\u017cowych. Rozmowa nie ko\u0144czy si\u0119 tutaj; jest to ci\u0105g\u0142a dyskusja, poniewa\u017c sztuczna inteligencja nadal ewoluuje i kszta\u0142tuje nasz\u0105 przysz\u0142o\u015b\u0107.\n<\/p>\n

\nSzczeg\u00f3\u0142owe informacje mo\u017cna znale\u017a\u0107 w oryginalnej dyskusji na VentureBeat: Czytaj wi\u0119cej<\/a>.\n<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

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 […]<\/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\/pl\/wp-json\/wp\/v2\/posts\/3749","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/comments?post=3749"}],"version-history":[{"count":0,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/posts\/3749\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/media\/3750"}],"wp:attachment":[{"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/media?parent=3749"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/categories?post=3749"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/implementi.ai\/pl\/wp-json\/wp\/v2\/tags?post=3749"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}