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德勤:2024年第一季度企业生成式人工智能应用现状报告:立足当下,谋定未来(第1份)(中译版)(34页).pdf

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1、Now decides next:Insights from the leading edge of generative AI adoptionDeloittes State of Generative AI in the Enterprise Quarter one reportJanuary 2024ForewordIntroductionNow:Key findings1 Excitement about generative AI remains high,and transformative impacts are expected in the next three years.

2、2 Many leaders are confident about their organizations generative AI expertise.3 Organizations that report very high expertise in generative AI tend to feel more positive about itbut also more pressured and threatened.4 Current generative AI efforts remain more focused on efficiency,productivity and

3、 cost reduction than on innovation and growth.5 Most organizations are still primarily relying on off-the-shelf generative AI solutions.6 Talent,governance and risk are critical areas where generative AI preparedness is lacking.7 Leaders see significant societal impacts on the horizon.8 Leaders are

4、looking for more regulation and collaboration globally.Next:Looking aheadAuthorship&AcknowledgmentsAbout the Deloitte AI Institute About the Deloitte Center for Integrated Research About the Deloitte Center for Technology,Media&TelecommunicationsMethodologyTable of contents2 2ForewordNow decides nex

5、tThe arrival of generative AI heralds disruption and opportunity across industries.Organizations are exploring how generative AI can be used to unlock business value,supercharge efficiency and productivity,and open the door to entirely new products,services and business models.As business leaders co

6、ntend with this new technology and make decisions about the future of the enterprise with generative AI,it is helpful to keep ones finger on the pulse of adoption.To that end,The State of Generative AI in the Enterprise:Now decides next,captures the sentiments of 2,835 business and technology leader

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根据Deloitte的《企业生成式AI现状报告》第一部分,生成式AI(gen AI)在企业中的采用和影响正在迅速发展。报告的主要内容概括如下: 1. 62%的受访企业领导对生成式AI感到兴奋,但同时也有30%的受访者感到不确定。 2. 79%的受访者预计生成式AI将在未来三年内对其组织及行业产生重大变革。 3. 44%的受访者认为他们的组织在生成式AI方面具有高或非常高水平的专长,但考虑到技术的快速发展,这种自信可能是不合理的。 4. 大多数组织目前将生成式AI的重点放在提高效率/生产力和降低成本上,而不是创新和增长。 5. 大多数组织主要依赖现成的生成式AI解决方案,如集成生成式AI的生产力应用和大型语言模型。 综上所述,报告指出生成式AI在企业中的采用正在加速,但许多组织对其影响和采用策略仍存在不确定性。同时,组织对生成式AI的依赖主要集中在现成的解决方案上,而不是自主开发。
企业如何评估自身在生成式AI方面的专业水平? 生成式AI在提高效率和生产力方面有哪些具体应用? 企业如何看待生成式AI对自身业务和运营模式的潜在威胁?
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