📄 中文摘要
许多企业在尝试 AI 技术时，往往经历了一次失败的试点项目，导致他们变得谨慎。失败的原因通常集中在三个方面：首先，缺乏明确的成功指标，团队在项目完成后没有预先定义的评估标准，导致项目的效果只能凭感觉判断；其次，选择了错误的工作流程，团队往往选择了看似令人兴奋的项目，而非真正符合业务需求的解决方案；最后，缺乏跨部门的协作，AI 项目的成功需要各个部门的支持和配合。解决这些问题可以提高 AI 项目的成功率。
你的 AI 项目失败的真正原因（以及如何修复第二次尝试）
出处: The Real Reason Your AI Pilot Failed (And How to Fix Attempt #2)
发布: 2026年3月18日
📄 English Summary
The Real Reason Your AI Pilot Failed (And How to Fix Attempt #2)
Many businesses have attempted AI initiatives only to face failure during their pilot projects, leading to a cautious approach in subsequent attempts. The common reasons for failure can be summarized in three key areas: first, there are no predefined success metrics, resulting in projects being evaluated based on subjective feelings rather than concrete data; second, the wrong workflow is often selected, with teams opting for exciting projects instead of those that genuinely meet business needs; finally, a lack of cross-departmental collaboration hinders the success of AI initiatives, which require support and cooperation from various departments. Addressing these issues can significantly enhance the likelihood of success in future AI projects.