晨间信号Morning Signal
《哈佛商业评论》 2026年1月刊 · 中文解读

生成式AI实验的系统化方法

A Systematic Approach to Experimenting with Gen AI · Johannes Berndt et al.
约 35 分钟Technology & Analytics在小程序里点播,20 到 60 分钟做好
这篇讲什么
本文探讨了企业如何通过组织层面的实验来降低风险、优化策略并大规模采用生成式AI。
原文开头
To reduce risk, refine their strategies, and optimize adoption at scale, companies need more testing at the organizational level. AUTHORS Johannes Berndt Florian Englmaier Professor, LMU Munich Raffaella Sadun Senior project manager, Siemens Professor, Harvard Business School Jorge Tamayo Assistant professor, Harvard Business School Nikolaus von Hesler Global head of people & organizational strategy, Siemens 66 PHOTOGRAPHER GREG WHITE AFTER TAKING THE SOFTWARE industry by storm, generative AI is now moving into a broad set of industries, including manufac- turing, where it is helping manage unpredictability and support real- time decision-making. Gen AI’s ability to codify, automate, and distribute organizational expertise may eventually reshape work structures from the shop floor to the C-suite. …
摘自《哈佛商业评论》(Harvard Business Review)2026年1月刊,Johannes Berndt et al.。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。
晨间信号小程序码
微信扫码,在小程序里听完整版
不用登录先听一篇 · 或在微信搜索小程序 晨间信号
同期其他文章