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德勤:2024年Q2企业生成式人工智能报告(英文版)(31页).pdf

上传人: AG 编号:605791 2024-04-01 31页 5.47MB

1、Deloittes State of Generative AI in the Enterprise Quarter two reportApril 2024Now decides next:Getting real about Generative AI findings1 Value creation2 Scaling up3 Building trust4 Evolving the workforceNext:Looking aheadAuthorship&AcknowledgmentsAbout the Deloitte AI Institute About the Deloitte

2、Center for Integrated Research About the Deloitte Center for Technology,Media&TelecommunicationsMethodologyTable of contents2 2IntroductionForewordWe have traveled a long way since the Generative AI space race kicked off in November 2022and yet,we know we are still at the beginning of this long and

3、exciting transformation.Every day,we talk with clients about how much there is to focus on in the moment,how explosive the pace of change is,and how challenging it can be amid the excitement to take a longer-term view.We see organizations starting to achieve benefits and move toward a near future wh

4、ere this early stage of Generative AI tools is widely dispersed and driving new value.But there are also some hard realities to deal with as business leaders look to scale and realize the potential of this powerful technology.The State of Generative AI in the Enterprise:Getting real about Generative

5、 AI captures a new snapshot of this transformative time from the perspectives of nearly 2,000 business and technology leaders,all from organizations that are actively deploying and scaling Generative AI today.Echoing our many clients,from these executives we hear that while excitement persists it ma

6、y be at its peak as leaders come up against cultural challenges,questions about how to manage their workforces,and issues with trust thatat least for nowstand in the way of unlocking Generative AIs full value.All told,it is exciting that Generative AIs potential is beginning to weave its way deeper

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根据Deloitte的《企业生成式AI现状报告》第二季度报告,主要内容如下: 1. 组织开始要求生成式AI产生实际的业务价值,一些组织已开始实现真实世界的收益。 2. 组织计划将生成式AI节省的成本和时间投入到创新和运营改进中。 3. 组织认为扩大生成式AI的使用范围和用户基础是实现价值的关键,但扩大规模面临挑战。 4. 组织认为缺乏信任是大规模采用和部署生成式AI的最大障碍。 5. 组织预计生成式AI将影响其人才策略,包括流程重组和提升技能。 6. 组织认为生成式AI将增加某些技术技能和人类技能的价值,但也会降低其他技能的价值。 7. 组织预计短期内员工人数将略有增加。 8. 组织认为,为了实现规模扩大,需要同时发展策略、流程、人员、数据和技术。
企业如何实现生成式AI的价值创造? 生成式AI如何影响企业的人才策略? 企业如何建立生成式AI的信任机制?
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