使用人工智能技術從大量模糊數據中挖掘經濟價值已經不再是科幻小說里的情節，而是正在逐漸成為日常商業活動的一部分。

近日，Adobe發布的《2019首席信息官視點調查》顯示，近80%的美國公司的首席信息官計劃在未來12個月內增加對人工智能及機器學習技術的應用。《財富》雜志有幸提前看到了這家位于圣何塞的軟件公司的調查結果。

共有超過200位首席信息官參加了Adobe在今年10月進行的調查，其中無一人計劃減少對人工智能或機器學習技術的應用。他們對人工智能技術充足的信心也印證了該技術近期所取得突破的成功。

“總體來看，人工智能技術的發展空間非常大。”Adobe體驗平臺產品營銷主管羅內爾·休表示。“此前進行的云基礎設施建設是第一步，現在更多的創新是在人工智能及實時數據商用領域。”

大多數首席信息官還表示，在所有新興技術中，人工智能潛力最大，只是還遠沒有得到完全開發：近70％的首席信息官表示，在其公司的技術項目中，人工智能或機器學習技術的應用比例僅占1％到20％。

73％的首席技術官計劃在未來12個月內增加對實時數據的應用，只有15％的首席技術官強烈認為其所屬企業對實時數據足夠關注。

酒店業是應用實時數據的領頭羊。羅內爾·休表示，部分連鎖酒店有專門用于監控客戶反饋的算法，他們還會基于監控結果向員工提出實時建議。如果客人投訴毛巾有問題，那么算法就可能會建議酒店員工加強對毛巾的檢查。（財富中文網）

譯者：馮豐

審校：夏林

The promise of artificial intelligence—that it can turn masses of fuzzy data into money-making moves—is becoming less sci-fi and more business as usual.

Nearly 80% of chief information officers at U.S. companies plan to increase the use of artificial intelligence and machine learning over the next 12 months, according to Adobe’s 2019 CIO Perspectives Survey. Fortune was provided an early look at the San Jose-based software company’s survey results.

Among the more than 200 CIOs that participated in Adobe’s October survey, none said they’re planning to scale back the use of A.I. or machine learning. That apparent confidence speaks to the success of recent AI breakthroughs.

“As a whole there are massive opportunities to adopt new [A.I.] technologies,” said Ronell Hugh, the product marketing lead for Adobe Experience Platform. “Cloud infrastructure was a first step, now there is a lot of innovation in AI and how to use data in real-time for your business.”

The majority of CIOs also say AI has the greatest potential of all rising technologies. Yet room for growth here is massive: Almost 70% of CIOs say that AI or machine learning are used on only 1% to 20% of their companies’ tech projects.

And 73% of CTOs plan to increase the use of real-time data over the next 12 months. Only 15% of these technology leaders strongly agree that their companies are real-time-data-focused organizations.

Among the leaders in using real-time data is the hospitality industry. Some hotel chains have algorithms that monitor customer feedback and make suggestions in real-time to hotel staff, Hugh says. If a hotel guest has complained in the past about towels, the algorithm might suggest staff double-check towels.