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Jeff Bezos-Backed Perplexity AI Aims To Break Google And Meta's Duopoly With New 'Internal Knowledge' Search: 'All About What Consumers Are Doing'

Jeff Bezos-Backed Perplexity AI Aims To Break Google And Meta's Duopoly With New 'Internal Knowledge' Search: 'All About What Consumers Are Doing'

傑夫 · 貝佐斯支持的Perplexity 人工智能旨在通過新的'內部知識'搜索打破谷歌和Meta的壟斷地位:'全面了解消費者的行爲'
Benzinga ·  07:35

Aravind Srinivas, CEO of Jeff Bezos-backed Perplexity AI, has challenged the duopoly of Alphbaet Inc.'s (NASDAQ:GOOG) (NASDAQ:GOOGL) Google and Meta Platforms, Inc. (NASDAQ:META) in the search and advertising industry.

Jeff Bezos支持的Perplexity AI的CEO Aravind Srinivas挑戰了Alphbaet Inc.(NASDAQ:GOOG)(NASDAQ:GOOGL)的谷歌和納斯達克:META平台 Inc.(NASDAQ: META)在搜索和廣告行業的雙頭壟斷。

The company is introducing new features aimed at enhancing user experience.

該公司正在推出旨在增強用戶體驗的新功能。

What Happened: On Thursday, in a conversation on CNBC's Closing Bell, Srinivas discussed the launch of Perplexity's new "internal knowledge" search, which consolidates external and internal searches.

發生了什麼:週四,在CNBC的《Closing Bell》節目中,Srinivas談到了Perplexity新的「內部知識」搜索的推出,該功能整合了外部和內部搜索。

Srinivas stated that the new feature will allow users to conduct centralized research on the web and internal company proprietary data together. This is expected to improve decision-making processes, particularly for those in the financial services industry.

Srinivas表示,新功能將允許用戶在網絡上和內部公司專有數據之間進行集中研究。預計這將改進決策過程,特別適用於金融服務行業的人員。

The platform enables users to query stock data, institutional funds, and now internal proprietary data, integrating with third-party sources like Crunchbase and FactSet.

該平台使用戶能夠查詢股票數據、機構基金,以及現在的內部專有數據,與像Crunchbase和FactSet之類的第三方來源集成。

When asked if the duopoly of Google and Meta in the search and advertising field cracking, Srinivas agreed saying, "100%. It's all about what consumers are doing."

當被問及谷歌和Meta在搜索和廣告領域的雙頭壟斷是否有破裂跡象時,Srinivas表示,「100%。這一切都是關於消費者的行爲。」

He pointed out that consumer behavior is shifting from simple keyword searches to more complex queries, making platforms like Perplexity more appealing to advertisers looking for deeper engagement.

他指出,消費者行爲正在從簡單的關鍵詞搜索轉變爲更復雜的查詢,這使得Perplexity等平台對尋求更深入參與的廣告商更具吸引力。

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CEO of @perplexity_ai @AravSrinivas discusses launching the platform's new "internal knowledge" search today, as the company ramps up efforts to take on the likes of Google in search and advertising: pic.twitter.com/bLCZ3qjsmT

— CNBC's Closing Bell (@CNBCClosingBell) October 17, 2024

perplexity_ai的首席執行官@AravSrinivas討論了今天推出平台新的"內部知識"搜索,隨着公司加大努力挑戰谷歌在搜索和廣告方面的競爭力:pic.twitter.com/bLCZ3qjsmT

— CNBC的Closing Bell(@CNBCClosingBell)2024年10月17日

Why It Matters: Perplexity AI has previously been critical of Google's ad-heavy model. The AI startup has been working towards revolutionizing the search engine industry.

爲什麼這很重要:Perplexity AI此前批評Google的廣告爲主模式。這家人工智能初創公司一直致力於顛覆搜索引擎行業。

In June, in an interview, Srinivas was asked about AI's influence on traditional search models like Google. He responded by saying that people love products tailored to their needs.

6月份,在一次採訪中,Srinivas被問及人工智能對谷歌等傳統搜索模式的影響。他回答稱人們喜歡根據自己需求定製的產品。

"Google used to be that when it first came out that's why it disrupted... but then it ended up going the same path as Yahoo by becoming an advertising platform," he stated at the time.

"Google剛推出時曾如此,這也是爲什麼它顛覆了...但它最終走上了與雅虎相同的道路,成爲了廣告平台",他當時這樣說。

In August earlier this year, it was reported that Perplexity's revenue and usage have grown 700% since the start of the year.

早在今年8月,有報道稱Perplexity的營業收入和使用量自年初以來增長了700%。

The startup has also been in talks with top-tier companies like Nike and Marriott International and plans to launch an ads system by the end of the year.

這家初創公司還與耐克和萬豪酒店等一流公司進行了磋商,並計劃在年底推出廣告系統。

Earlier this week, Ross Gerber, CEO of Gerber Kawasaki Wealth also expressed concerns over the sustainability of Google's business model, highlighting the growing threat posed by competitors such as OpenAI's ChatGPT and Perplexity.

本週早些時候,Gerber Kawasaki Wealth的首席執行官認爲Google的業務模式的可持續性存在問題,並強調OpenAI的ChatGPt和Perplexity等競爭對手日益威脅的增長。

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請點擊此鏈接查看更多有關Benzinga的消費科技報道。

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Disclaimer: This content was partially produced with the help of Benzinga Neuro and was reviewed and published by Benzinga editors.

免責聲明:本內容部分使用Benzinga Neuro製作,並由Benzinga編輯審核和發佈。

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