📄 中文摘要
研究通过 IT-Bench 和 MAST 工具，深入分析了企业代理在实际应用中失败的原因。IT-Bench 提供了一个标准化的基准测试框架，帮助评估代理的性能和效率，而 MAST 则用于识别系统中的潜在故障和瓶颈。通过对多个企业案例的研究，发现技术实现、用户需求和系统集成等多个因素共同影响了代理的成功与否。研究结果为企业在部署智能代理时提供了重要的指导和建议，强调了在设计和实施过程中需要考虑的关键因素。
IBM 和加州大学伯克利分校诊断企业代理失败的原因，使用 IT-Bench 和 MAST
📄 English Summary
IBM and UC Berkeley Diagnose Why Enterprise Agents Fail Using IT-Bench and MAST
The research analyzes the reasons behind the failure of enterprise agents using IT-Bench and MAST tools. IT-Bench provides a standardized benchmarking framework to evaluate the performance and efficiency of agents, while MAST is utilized to identify potential faults and bottlenecks within systems. Through the examination of multiple enterprise cases, it was found that factors such as technological implementation, user requirements, and system integration collectively influence the success of agents. The findings offer essential guidance and recommendations for enterprises deploying intelligent agents, highlighting critical considerations in the design and implementation processes.