当前位置:首页 >英文主页 >中英对照 > 中译版报告详情

AlphaSense:2024超越炒作:生成式AI助力知识获取及共享白皮书(中译版)(14页).pdf

上传人: Y**** 编号:177649 2024-10-14 14页 499.32KB

下载:

1、Beyond the Hype:Maximizing Knowledge Discovery with Todays Generative AIWhats Inside1 Introduction3 CHAPTER 1 The Breakthrough of GenAI4 CHAPTER 2 The GenAI Hype Cycle6 CHAPTER 3 Purpose-Built Foundations for GenAI7 CHAPTER 4 Solving for Everyday Challenges9 CHAPTER 5 Bridging the Knowledge Discover

2、y Gap10 Conclusion IntroductionOn the heels of a breakthrough year in 2023,generative artificial intelligence(genAI)delivered interesting,innovative,and even mainstream applications.It is expected that genAI will grow more than 20%annually from 20232030,burgeoning to$207 billion in market volume by

3、2030.With digital transformation here to stay,firms are increasingly exploring and implementing initiatives to best mainstream genAI,factoring in a growing list of logistical,strategic,governance,and competitive factors.Across the investment industry,everyday genAI use cases are evolving to create e

4、fficiencies,innovate workflows,and streamline internal and external knowledge sharing within organizations.Identifying the right tools and methodologies to capture these benefits is critical for firms to gain the most value and remain competitive.While its capabilities are powerful and vast,understa

5、nding how to successfully harness genAIs many use cases can often be complex and potentially obscure.Identifying solutions to focus on prioritizing can be a challenge in and of itself.Increasingly,executives are prioritizing how to solve for knowledge sharing&knowledge discovery.With the amount of c

6、ontent and data produced by firms only increasing,it 1is more critical than ever to identify a solution to bridge the knowledge gap.However,poor search and discovery capabilities are limiting the potential of these lucrative assets.In this report well explore the trends and themes driving knowledge

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
本文主要探讨了生成式人工智能(genAI)在知识发现和分享方面的应用和挑战。genAI预计到2030年将以每年超过20%的增速增长,达到2070亿美元的市场规模。文章指出,企业在数字转型的过程中,越来越重视genAI的应用,但如何成功利用genAI的多种用例往往复杂且模糊。文章提出了克服知识发现挑战和最大化专有内容价值的关键实践,并强调了genAI在桥接知识发现差距方面的重要性。最后,文章以AlphaSense为例,展示了如何利用genAI在投资行业中解决日常挑战,提高效率和创新能力。
"AI如何在投资行业中创造价值?" "如何利用生成式AI提高知识发现效率?" "AI助力下的知识管理有哪些挑战和解决方案?"
客服
商务合作
小程序
服务号
折叠