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	<title>將運用 - 在地人新聞 LTVNews</title>
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		<title>Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能</title>
		<link>https://www.ltvnews.net/archives/141258</link>
		
		<dc:creator><![CDATA[美通社]]></dc:creator>
		<pubDate>Wed, 26 Mar 2025 14:28:00 +0000</pubDate>
				<category><![CDATA[美通社]]></category>
		<category><![CDATA[Cognizant]]></category>
		<category><![CDATA[NVIDIA]]></category>
		<category><![CDATA[將運用]]></category>
		<guid isPermaLink="false">https://www.ltvnews.net/archives/141258</guid>

					<description><![CDATA[<img width="400" height="120" src="https://i0.wp.com/www.ltvnews.net/wp-content/uploads/2025/03/Cognizant_Logo_V1.jpg?fit=400%2C120&amp;ssl=1" class="webfeedsFeaturedVisual wp-post-image" alt="Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能" title="Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" /><p>Cognizant 將運用 NVIDIA AI 於企業智能體、行業大型語言模型及基建等關鍵領域提供方案。 新澤 [&#8230;]</p>
<p>〈<a href="https://www.ltvnews.net/archives/141258">Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能</a>〉這篇文章最早發佈於《<a href="https://www.ltvnews.net">在地人新聞 LTVNews</a>》。</p>
]]></description>
										<content:encoded><![CDATA[<img width="400" height="120" src="https://i0.wp.com/www.ltvnews.net/wp-content/uploads/2025/03/Cognizant_Logo_V1.jpg?fit=400%2C120&amp;ssl=1" class="webfeedsFeaturedVisual wp-post-image" alt="Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能" title="Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" /><div>
<p><i>Cognizant 將運用 NVIDIA AI 於企業智能體、行業大型語言模型及基建等關鍵領域提供方案。</i></p>
<p><span class="legendSpanClass">新澤西州蒂內克</span><span class="legendSpanClass">2025年3月26日</span> /美通社/ &#8212; Cognizant（納斯達克股票代碼：CTSH）今日宣佈與 NVIDIA 深化合作，利用 NVIDIA AI 技術推出多項更新，旨在加速各行業在五大關鍵領域採納人工智能：企業 AI 智能體、特定行業大型語言模型 (LLM)、智能製造數碼分身、AI 基礎設施，以及提升   <br />   <span></span>  </div>
<p>Cognizant 正利用其深厚的行業經驗及全面的 AI 生態系統（涵蓋由專有平台和加速器驅動的基礎設施、數據、模型及智能體開發），與全球客戶緊密合作，助其有效提升 AI 價值。NVIDIA AI 在 Cognizant 的 AI 方案中擔當關鍵角色，雙方目前正與各行業客戶積極推展合作項目，助其實現業務增長與轉型。</p>
<p>Cognizant 核心技術與洞察總裁 <span class="xn-person">Annadurai Elango</span> 表示：「我們留意到企業正從 AI 概念驗證（PoC）邁向大規模部署階段。透過與 NVIDIA 合作，Cognizant 將建構並部署能加速此過程的解決方案，整合基礎 AI 元素、平台及方案，更快為客戶提升 AI 價值。」</p>
<p>「從模型到應用程式，企業 AI 轉型需要能存取特定領域數據的全端軟件與基礎設施，」NVIDIA 全球現場營運行政副總裁 <span class="xn-person">Jay Puri</span> 表示， 「Cognizant Neuro AI 平台建基於 NVIDIA AI，提供專門的 LLM 及應用程式，藉助推理智能體與數碼分身，助企業為迎接 AI 新紀元作好準備。」</p>
<p>於 NVIDIA GTC 2025 大會上，Cognizant 概述了其在以下五個領域的方案更新計劃：</p>
<ul type="disc">
<li><b>由 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=2904623833&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D3556620544%26u%3Dhttps%253A%252F%252Fwww.cognizant.com%252Fus%252Fen%252Fservices%252Fneuro-intelligent-automation%252Fneuro-generative-ai-adoption%252Fenterprise-agentic-ai%26a%3D%25C2%25A0Cognizant&amp;a=+Cognizant" target="_blank" rel="nofollow"> Cognizant</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=402675560&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D2546313793%26u%3Dhttps%253A%252F%252Fwww.cognizant.com%252Fus%252Fen%252Fservices%252Fneuro-intelligent-automation%252Fneuro-generative-ai-adoption%252Fenterprise-agentic-ai%26a%3D%25C2%25AE&amp;a=%C2%AE" target="_blank" rel="nofollow"><sup>®</sup></a></b><b><sup><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=2378332069&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D4068857502%26u%3Dhttps%253A%252F%252Fwww.cognizant.com%252Fus%252Fen%252Fservices%252Fneuro-intelligent-automation%252Fneuro-generative-ai-adoption%252Fenterprise-agentic-ai%26a%3D%25C2%25A0Neuro%2BAI%2BMulti-Agent%2BAccelerator&amp;a=+Neuro+AI+%E5%A4%9A%E6%99%BA%E8%83%BD%E9%AB%94%E5%8A%A0%E9%80%9F%E5%99%A8%E9%A9%85%E5%8B%95%E7%9A%84%E4%BC%81%E6%A5%AD+AI+%E6%99%BA%E8%83%BD%E9%AB%94%E6%87%89%E7%94%A8" target="_blank" rel="nofollow"> Neuro AI 多智能體加速器驅動的企業 AI 智能體應用</a></sup></b><b>：</b> 此框架建基於 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=1464852917&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1612527971%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fai%252F%26a%3DNVIDIA%2BNIM&amp;a=NVIDIA+NIM" target="_blank" rel="nofollow">NVIDIA NIM</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=1508512535&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1118551214%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fai%252F%26a%3D%25E2%2584%25A2&amp;a=%E2%84%A2+" target="_blank" rel="nofollow">™ </a>微服務，助客戶快速建構及擴展多智能體 AI 系統，實現自適應營運、實時決策與個人化客戶體驗。客戶可利用低代碼框架創建和編排智能體，或運用預建的智能體網絡處理銷售、營銷、供應鏈管理等企業職能及特定行業流程。框架亦支援輕鬆整合第三方智能體網絡及大多數 LLM。
</li>
<li><b>為規模化部署建構多智能體：</b> Cognizant 致力透過多智能體系統，以及與 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=267420357&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D3126145594%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fai%252F%26a%3DNVIDIA&amp;a=NVIDIA" target="_blank" rel="nofollow">NVIDIA</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=2287652960&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1426336758%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fai%252F%26a%3D%25C2%25A0NIM&amp;a=+NIM" target="_blank" rel="nofollow"> NIM</a>、<a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=1350321764&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1802032082%26u%3Dhttps%253A%252F%252Fbuild.nvidia.com%252Fblueprints%26a%3DNVIDIA%2B&amp;a=NVIDIA+" target="_blank" rel="nofollow">NVIDIA </a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=92644578&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D3694688792%26u%3Dhttps%253A%252F%252Fbuild.nvidia.com%252Fblueprints%26a%3DBlueprints&amp;a=Blueprints" target="_blank" rel="nofollow">Blueprints</a> 和 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=3397357630&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D261117954%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fai-data-science%252Fproducts%252Friva%252F%26a%3DNVIDIA%2B&amp;a=NVIDIA+" target="_blank" rel="nofollow">NVIDIA </a>Riva 語音 AI 的整合，提升企業營運效率。公司將開發面向未來的智能體架構，支援模組化及具適應性的設計，滿足不斷演變的需求，並確保 AI 方案的長期可行性與適應能力。當中包括具備安全護欄和人工監督功能的預建整合。此方案旨在讓企業能利用預建的智能體目錄，開發並部署切合其特定需求、可快速上市的應用程式。例子包括特定行業智能體，如保險理賠核保、申訴與投訴處理、自動化供應鏈及合約管理等多智能體系統。
</li>
<li><b>特定行業 LLM：</b>Cognizant 正利用 NVIDIA NeMo 及 NVIDIA NIM 開發面向特定行業的 LLM。這些方案經悉心設計，滿足不同行業的獨特需求，並建基於 Cognizant 深厚的行業知識，旨在推動創新、提升業務表現。例如，Cognizant 已開發出一款微調語言模型，革新醫療保健行政流程。該系統結合 Cognizant 的領域專長與 NVIDIA 技術，強化醫療編碼提取，提升準確度、減少錯誤，並更佳地遵循 HIPAA 與 GDPR 標準。系統旨在助客戶減省成本、降低延遲、改善收入週期管理，並確保風險調整的準確性。Cognizant 內部基準測試顯示，該模型能有效減少 30-75% 的工作量、提升 30-40% 的編碼準確度，並縮短 40-45% 的上市時間。
</li>
<li><b>工業數碼分身：</b>由 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=977876096&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1342548778%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fomniverse%252F%26a%3DNVIDIA&amp;a=NVIDIA" target="_blank" rel="nofollow">NVIDIA</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=408463943&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D3313680701%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fomniverse%252F%26a%3D%2BOmniverse&amp;a=Omniverse" target="_blank" rel="nofollow">Omniverse</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=3940825287&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D2506456979%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fomniverse%252F%26a%3D%25E2%2584%25A2&amp;a=%E2%84%A2" target="_blank" rel="nofollow">™</a> 加速的 Cognizant 智能製造與數碼分身方案，結合了 NVIDIA Omniverse 的合成數據生成、加速運算及物理 AI 模擬技術，旨在應對製造營運及供應鏈管理的挑戰，藉此推動數碼轉型。這些功能可助客戶利用實時洞察與預測分析，強化工廠佈局及流程模擬，同時提升營運效率、優化廠房資本開支。方案能整合來自應用程式、系統、感測器的多元數據及合成數據，讓客戶模擬不同情境，找出廠房問題的解決方法。此外，透過構建包括 IT 系統及專業人員在內的必要數碼基建，Cognizant 的方案能精確高效地為工廠、智能電網、倉庫乃至整個城市等大型系統，創建並管理數碼分身。
</li>
<li><b>AI 基礎設施：</b>要有效部署 AI，必須具備穩健的 AI 基礎設施及準備就緒的數據。由 NVIDIA 加速的 Cognizant AI 基礎設施方案，將透過「GPU 即服務」(GPUaaS) 及安全託管的基建，為客戶提供使用 NVIDIA AI 技術的渠道。此舉有助確保 AI 模型能在雲端、數據中心或邊緣等不同環境順暢運行。此外，Cognizant 計劃利用 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=1485868502&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D1052077219%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fdeep-learning-ai%252Fsolutions%252Fdata-science%252Fapache-spark-3%252F%26a%3DNVIDIA%2BRAPIDS&amp;a=NVIDIA+RAPIDS" target="_blank" rel="nofollow">NVIDIA RAPIDS</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=383660268&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D3984804211%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fdeep-learning-ai%252Fsolutions%252Fdata-science%252Fapache-spark-3%252F%26a%3D%25E2%2584%25A2&amp;a=%E2%84%A2" target="_blank" rel="nofollow">™</a><a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=1401722574&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D4282120052%26u%3Dhttps%253A%252F%252Fwww.nvidia.com%252Fen-us%252Fdeep-learning-ai%252Fsolutions%252Fdata-science%252Fapache-spark-3%252F%26a%3D%25C2%25A0Accelerator%2Bfor%2BApache%2BSpark&amp;a=+Accelerator+for+Apache+Spark" target="_blank" rel="nofollow"> Accelerator for Apache Spark</a> 助客戶加速 AI 部署的數據管道，實現高效且具擴展性的營運。以美國一家大型醫療保健客戶為例，採用 Cognizant 的 AI 基礎設施後，其 Spark 工作負載成本效益提升 2.7 倍，性能亦提升 1.8 倍。</li>
</ul>
<p>「隨著 AI 工業化時代來臨，企業正尋求加快 AI 投資的價值實現速度，重點在於創造巨大的經濟效益、實現由智能體主導的工作流程轉型，以及進行特定行業的部署，」Everest Group 合夥人 <span class="xn-person">Nitish Mittal</span> 指出，「Cognizant 與 NVIDIA 持續深化合作夥伴關係，為具前瞻視野、力求在 AI 時代釋放突破性價值的企業，勾劃出正確的發展藍圖。」</p>
<p><b>Cognizant 簡介<br /></b>Cognizant（納斯達克：CTSH）是現代企業的工程師。我們協助客戶實現技術現代化、流程重組和體驗轉型，使其能在瞬息萬變的世界中保持領先地位。讓我們共同努力，攜手改善日常生活。請前往 <a href="https://c212.net/c/link/?t=0&amp;l=zh-hant&amp;o=4390325-1&amp;h=2728479802&amp;u=https%3A%2F%2Fc212.net%2Fc%2Flink%2F%3Ft%3D0%26l%3Den%26o%3D4390325-1%26h%3D118105891%26u%3Dhttps%253A%252F%252Fc212.net%252Fc%252Flink%252F%253Ft%253D0%2526l%253Den%2526o%253D3859880-1%2526h%253D107699143%2526u%253Dhttps%25253A%25252F%25252Fwww.cognizant.com%25252F%2526a%253Dwww.cognizant.com%26a%3Dwww.cognizant.com&amp;a=www.cognizant.com" target="_blank" rel="nofollow"><b>www.cognizant.com</b></a> 網站或追蹤 @cognizant 以了解詳情。</p>
<p><b>欲了解更多資訊，請聯絡：</b></p>
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<p class="prnml10"><span class="prnews_span">美國</span></p>
<p class="prnml10"><span class="prnews_span">姓名 Ben Gorelick</span></p>
<p class="prnml10"><span class="prnews_span">電子郵件 <a href="mailto:benjamin.gorelick@cognizant.com" target="_blank" class="prnews_a" rel="nofollow">benjamin.gorelick@cognizant.com </a> </span></p>
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<p class="prnml10"><span class="prnews_span">歐洲/亞太地區</span></p>
<p class="prnml10"><span class="prnews_span">姓名：Christina Schneider</span></p>
<p class="prnml10"><span class="prnews_span">電郵地址 <a href="mailto:christina.schneider@cognizant.com" target="_blank" class="prnews_a" rel="nofollow">christina.schneider@cognizant.com</a> </span></p>
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<p class="prnml10"><span class="prnews_span">印度</span></p>
<p class="prnml10"><span class="prnews_span">姓名：Rashmi Vasisht</span></p>
<p class="prnml10"><span class="prnews_span">電郵地址 <a href="mailto:rashmi.vasisht@cognizant.com" target="_blank" class="prnews_a" rel="nofollow">rashmi.vasisht@cognizant.com</a> </span></p>
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新聞來源：PR Newswire</p>
<p>以上新聞投稿內容由PR Newswire 美通社全權自負責任，若有涉及任何違反法令、違反本網站會員條款、有侵害第三人權益之虞，將一概由PR Newswire 美通社承擔法律及損害賠償之責任，與LTVNews在地人新聞無關。</p>
<p>〈<a href="https://www.ltvnews.net/archives/141258">Cognizant 攜手 NVIDIA 部署 Neuro AI 平台，加速企業採納人工智能</a>〉這篇文章最早發佈於《<a href="https://www.ltvnews.net">在地人新聞 LTVNews</a>》。</p>
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