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GLG:从商业领袖的视角观察生成式人工智能(英文版)(8页).pdf

上传人: AG 编号:607586 2024-01-01 8页 3.40MB

1、NAVIGATING GENERATIVE AICorporate Perspectives from Business LeadersBy a subject matter expert and GLG Network Member Table of ContentsEXECUTIVE SUMMARY 1ABOUT THE RESEARCH 2GLG SURVEY INSIGHTS 3CONCLUSION 5 Qualitative Research 1EXECUTIVE SUMMARYGenerative AI tools have created intense excitement i

2、n many sectors,as businesses discover the potential for large language models(LLMs),image generation tools,and related technologies to reduce repetitive work,augment workers capabilities and creativity,and enable individual workers to substantially scale their productivity At the same time,businesse

3、s are concerned about potential risks,such as erroneous or problematic outputs,potential liability for the misuse of intellectual property,or excessive costs and energy consumption A survey of corporate leaders and IT decision makers demonstrates high enthusiasm for experimenting with generative AI,

4、but also a lack of preparedness to adopt the new technology As businesses move forward with pilots,they are looking for answers on how to benefit from generative AI while avoiding potential pitfalls.Our story is definitely at the beginning.When ChatGPT dropped,we fed it way more than we should,being

5、 wowed and amazed by how it would do“magic”Then there was the aftershock of how this changes virtually every job at a certain level VP of IT at a Technology Company“”GLGs Survey Revealed:77%74%88%of respondents are using generative AI to improve internal process efficiencyof respondents are concerne

6、d about how generative AI may impact the privacy of customer dataof respondents believe generative AI could reduce costs over the next five years Navigating Generative AI 2GLG,The Worlds Insight Network,brings decision makers the insight it takes to get ahead,providing meaningful connections through

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本文概述了企业领导者和IT决策者对生成式AI的兴奋和担忧。调查显示,尽管大多数公司对实验生成式AI表现出浓厚兴趣,但他们担心潜在的风险,如错误输出、知识产权滥用问题以及过高成本和能源消耗。77%的受访者在使用生成式AI提高内部流程效率,而74%的受访者关注生成式AI对客户数据隐私的影响。同时,88%的受访者认为,在未来五年内,生成式AI有潜力降低成本。然而,只有6%的受访者表示,生成式AI已经在公司的主要职能中日常使用。大多数受访者认为他们的组织还没有为大规模采用生成式AI做好准备,缺乏正式的领导和指导。此外,尽管有84%的受访者认为生成式AI对top-line收入增长重要,但组织仍在探索如何最大化其利益,并缺乏管理生成式AI风险的工具。
"AI工具如何提升企业效率?" "如何应对AI工具带来的潜在风险?" "AI工具对企业收入增长的影响如何?"
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