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          惠普首席商務(wù)官預(yù)測(cè):未來AI個(gè)人電腦數(shù)據(jù)將不離本地

          Nicholas Gordon
          2025-12-10

          對(duì)于小型公司而言,在本地運(yùn)行較小規(guī)模的模型,其效果可能不亞于在云端運(yùn)行大型模型。

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          惠普(HP)首席商務(wù)官大衛(wèi)·麥夸里(David McQuarrie)。圖片來源:Courtesy of HP

          對(duì)“隱私與安全”的日益重視,可能為AI終端設(shè)備(而非完全依賴云計(jì)算和遠(yuǎn)程數(shù)據(jù)中心)敞開大門。

          惠普首席商務(wù)官大衛(wèi)·麥夸里(David McQuarrie)于10月告訴《財(cái)富》雜志:“在一個(gè)數(shù)據(jù)主權(quán)保留至關(guān)重要的世界里,人們希望確保自己輸入模型的數(shù)據(jù)不會(huì)被用于訓(xùn)練該模型。”在本地運(yùn)行AI則能提供這種保障。

          與許多設(shè)備制造同行一樣,惠普正在探索AI個(gè)人電腦(即能在本地而非云端運(yùn)行AI的設(shè)備)的應(yīng)用。他表示:“從長(zhǎng)遠(yuǎn)來看,人們將不得不購(gòu)買AI個(gè)人電腦,只因它們功能極其強(qiáng)大。”

          更廣泛地說,對(duì)于小型公司而言,在本地運(yùn)行較小規(guī)模的模型,其效果可能不亞于在云端運(yùn)行大型模型。他指出:“一家公司、一個(gè)小型企業(yè)或一個(gè)人都擁有大量無需上傳至云端的數(shù)據(jù)。”

          亞洲各國(guó)政府通常對(duì)數(shù)據(jù)主權(quán)有更嚴(yán)格的法規(guī)。中國(guó)尤其顯著收緊了關(guān)于中國(guó)用戶數(shù)據(jù)存儲(chǔ)地的規(guī)定。韓國(guó)是另一個(gè)例子,它將某些本地?cái)?shù)據(jù)視為過于敏感而不能存儲(chǔ)在海外。

          世界各國(guó)政府,尤其是亞洲國(guó)家,也在投資本土主權(quán)AI能力建設(shè),試圖避免完全依賴完全位于海外的系統(tǒng)和平臺(tái)。例如,韓國(guó)正與本地科技公司合作(如搜索巨頭Naver),以構(gòu)建自己的AI系統(tǒng)。新加坡則投資于諸如“東南亞語(yǔ)言一體化網(wǎng)絡(luò)”(SEA-LION)等項(xiàng)目,這些項(xiàng)目更貼合東南亞國(guó)家的需求。

          亞洲的AI應(yīng)用現(xiàn)狀

          亞洲是惠普規(guī)模最小的區(qū)域,但也是增長(zhǎng)最快的區(qū)域。在截至10月的公司2025財(cái)年,亞太及日本地區(qū)的營(yíng)收增長(zhǎng)了7%,達(dá)到133億美元,約占惠普總收入553億美元的四分之一。(惠普的另外兩個(gè)區(qū)域是美洲區(qū)以及歐洲、中東和非洲區(qū)。)

          麥夸里還提出,在亞洲存在“顛覆性”突破的機(jī)遇。盡管許多商業(yè)領(lǐng)袖一直渴望擁抱AI(至少口頭上如此),但實(shí)際應(yīng)用正被證明更為困難。麥肯錫(McKinsey)近期的一項(xiàng)調(diào)查顯示,三分之二的公司仍處于AI試驗(yàn)階段。

          但麥夸里認(rèn)為,亞洲的AI應(yīng)用速度可能“即使不比其它地區(qū)更快,也會(huì)一樣快”。

          至少在用戶層面,亞洲似乎對(duì)使用AI更為坦然。皮尤研究中心(Pew)10月的一項(xiàng)調(diào)查發(fā)現(xiàn),與美國(guó)相比,在印度、韓國(guó)和日本等國(guó)家,表示對(duì)AI“擔(dān)憂多于興奮”的人更少。

          在說服更多公司采用AI(更不用說AI個(gè)人電腦)方面,麥夸里表示,關(guān)鍵在于盡可能無縫地集成AI功能,從而“用戶是否意識(shí)到自己在使用AI并不重要”。

          “我們正在加倍投入的是未來工作模式,”麥夸里說。“未來的工作模式需要一種能改善體驗(yàn)、提升生產(chǎn)力的設(shè)備。”

          “我們?cè)诤笈_(tái)使用AI這個(gè)事實(shí)?用戶無需知道。”(財(cái)富中文網(wǎng))

          譯者:中慧言-王芳

          對(duì)“隱私與安全”的日益重視,可能為AI終端設(shè)備(而非完全依賴云計(jì)算和遠(yuǎn)程數(shù)據(jù)中心)敞開大門。

          惠普首席商務(wù)官大衛(wèi)·麥夸里(David McQuarrie)于10月告訴《財(cái)富》雜志:“在一個(gè)數(shù)據(jù)主權(quán)保留至關(guān)重要的世界里,人們希望確保自己輸入模型的數(shù)據(jù)不會(huì)被用于訓(xùn)練該模型。”在本地運(yùn)行AI則能提供這種保障。

          與許多設(shè)備制造同行一樣,惠普正在探索AI個(gè)人電腦(即能在本地而非云端運(yùn)行AI的設(shè)備)的應(yīng)用。他表示:“從長(zhǎng)遠(yuǎn)來看,人們將不得不購(gòu)買AI個(gè)人電腦,只因它們功能極其強(qiáng)大。”

          更廣泛地說,對(duì)于小型公司而言,在本地運(yùn)行較小規(guī)模的模型,其效果可能不亞于在云端運(yùn)行大型模型。他指出:“一家公司、一個(gè)小型企業(yè)或一個(gè)人都擁有大量無需上傳至云端的數(shù)據(jù)。”

          亞洲各國(guó)政府通常對(duì)數(shù)據(jù)主權(quán)有更嚴(yán)格的法規(guī)。中國(guó)尤其顯著收緊了關(guān)于中國(guó)用戶數(shù)據(jù)存儲(chǔ)地的規(guī)定。韓國(guó)是另一個(gè)例子,它將某些本地?cái)?shù)據(jù)視為過于敏感而不能存儲(chǔ)在海外。

          世界各國(guó)政府,尤其是亞洲國(guó)家,也在投資本土主權(quán)AI能力建設(shè),試圖避免完全依賴完全位于海外的系統(tǒng)和平臺(tái)。例如,韓國(guó)正與本地科技公司合作(如搜索巨頭Naver),以構(gòu)建自己的AI系統(tǒng)。新加坡則投資于諸如“東南亞語(yǔ)言一體化網(wǎng)絡(luò)”(SEA-LION)等項(xiàng)目,這些項(xiàng)目更貼合東南亞國(guó)家的需求。

          亞洲的AI應(yīng)用現(xiàn)狀

          亞洲是惠普規(guī)模最小的區(qū)域,但也是增長(zhǎng)最快的區(qū)域。在截至10月的公司2025財(cái)年,亞太及日本地區(qū)的營(yíng)收增長(zhǎng)了7%,達(dá)到133億美元,約占惠普總收入553億美元的四分之一。(惠普的另外兩個(gè)區(qū)域是美洲區(qū)以及歐洲、中東和非洲區(qū)。)

          麥夸里還提出,在亞洲存在“顛覆性”突破的機(jī)遇。盡管許多商業(yè)領(lǐng)袖一直渴望擁抱AI(至少口頭上如此),但實(shí)際應(yīng)用正被證明更為困難。麥肯錫(McKinsey)近期的一項(xiàng)調(diào)查顯示,三分之二的公司仍處于AI試驗(yàn)階段。

          但麥夸里認(rèn)為,亞洲的AI應(yīng)用速度可能“即使不比其它地區(qū)更快,也會(huì)一樣快”。

          至少在用戶層面,亞洲似乎對(duì)使用AI更為坦然。皮尤研究中心(Pew)10月的一項(xiàng)調(diào)查發(fā)現(xiàn),與美國(guó)相比,在印度、韓國(guó)和日本等國(guó)家,表示對(duì)AI“擔(dān)憂多于興奮”的人更少。

          在說服更多公司采用AI(更不用說AI個(gè)人電腦)方面,麥夸里表示,關(guān)鍵在于盡可能無縫地集成AI功能,從而“用戶是否意識(shí)到自己在使用AI并不重要”。

          “我們正在加倍投入的是未來工作模式,”麥夸里說。“未來的工作模式需要一種能改善體驗(yàn)、提升生產(chǎn)力的設(shè)備。”

          “我們?cè)诤笈_(tái)使用AI這個(gè)事實(shí)?用戶無需知道。”(財(cái)富中文網(wǎng))

          譯者:中慧言-王芳

          Increased focus on "privacy and security" may open the door for AI-enabled devices rather than rely entirely on cloud computing and remote data centers.

          "In a world where sovereign data retention matters, people want to know that if they input data to a model, the model won't train on their data," David McQuarrie, HP's chief commercial officer, told Fortune in October. Using an AI locally provides that reassurance.

          HP, like many of its devicemaking peers, is exploring the use of AI PCs, or devices that can use AI locally as opposed to in the cloud. "Longer term, it will be impossible not to buy an AI PC, simply because there's so much power in them," he said.

          More broadly, smaller companies might be served just as well by a smaller model running locally than a larger model running in the cloud. "A company, a small business, or an individual has significant amounts of data that need not be put in the cloud," he said.

          Asian governments have often had stricter rules on data sovereignty. China, in particular, has significantly tightened its regulations on where Chinese user data can be stored. South Korea is another example of an Asian country that treats some locally sourced data as too sensitive to be housed overseas.

          Governments the world over, and particularly in Asia, are also investing in local sovereign AI capabilities, trying to avoid relying entirely on systems and platforms housed wholly overseas. South Korea, for example, is partnering with local tech companies like search giant Naver to build its own AI systems. Singapore is investing in projects like the Southeast Asian Languages in One Network (SEA-LION), which are better tailored to Southeast Asian countries.

          Asian AI adoption

          Asia is HP's smallest region, but also its fastest-growing. Revenue from Asia-Pacific and Japan grew by 7% over the company's 2025 fiscal year, which ended in October, to hit $13.3 billion. That's around a quarter of HP's total revenue of $55.3 billion. (HP's other two regions are the Americas; and Europe, the Middle East, and Africa.)

          McQuarrie also suggested that there was an opportunity to be "disruptive" in Asia. While many business leaders have been eager to embrace AI, at least rhetorically, actual adoption is proving more difficult. A recent survey from McKinsey reports that two-thirds of companies are still in the experimentation phase of AI.

          But McQuarrie believed that AI adoption in Asia could be "just as quick, if not quicker," than other regions.

          Asia seems to be more comfortable with the use of AI, at least when it comes to users. An October survey from Pew found that fewer people in countries like India, South Korea and Japan reported feeling "more concerned than excited" about AI compared to the U.S.

          When it comes to convincing more companies to adopt AI, let alone AI PCs, McQuarrie said the answer was to make AI functions as seamless as possible, so "that it doesn't really matter whether you understand that you're embracing AI or not."

          "What we're doubling down on is the future of work," McQuarrie said. "The future of work is a device that makes your experience better and your productivity greater."

          "The fact that we're using AI in the background? They don't need to know that."

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