商业领域明年将会迎来人工智能新浪潮

使用人工智能技术从大量模糊数据中挖掘经济价值已经不再是科幻小说里的情节，而是正在逐渐成为日常商业活动的一部分。

近日，Adobe发布的《2019首席信息官视点调查》显示，近80%的美国公司的首席信息官计划在未来12个月内增加对人工智能及机器学习技术的应用。《财富》杂志有幸提前看到了这家位于圣何塞的软件公司的调查结果。

共有超过200位首席信息官参加了Adobe在今年10月进行的调查，其中无一人计划减少对人工智能或机器学习技术的应用。他们对人工智能技术充足的信心也印证了该技术近期所取得突破的成功。

“总体来看，人工智能技术的发展空间非常大。”Adobe体验平台产品营销主管罗内尔·休表示。“此前进行的云基础设施建设是第一步，现在更多的创新是在人工智能及实时数据商用领域。”

大多数首席信息官还表示，在所有新兴技术中，人工智能潜力最大，只是还远没有得到完全开发：近70％的首席信息官表示，在其公司的技术项目中，人工智能或机器学习技术的应用比例仅占1％到20％。

73％的首席技术官计划在未来12个月内增加对实时数据的应用，只有15％的首席技术官强烈认为其所属企业对实时数据足够关注。

酒店业是应用实时数据的领头羊。罗内尔·休表示，部分连锁酒店有专门用于监控客户反馈的算法，他们还会基于监控结果向员工提出实时建议。如果客人投诉毛巾有问题，那么算法就可能会建议酒店员工加强对毛巾的检查。（财富中文网）

译者：冯丰

审校：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.