内容来源：https://aibusiness.com/data/more-ai-expertise-needed-for-better-data-migrations-report

内容总结：

谷歌云赞助发布的一项行业报告显示，人工智能技术有望成为解决企业数据迁移难题的关键突破点。根据人工智能企业Caylent发布的《2025年数据迁移调查报告》，仅有6%的企业能按时完成高难度数据迁移任务，同等比例的企业实现了迁移过程的零业务中断。

这项覆盖教育、金融、医疗等十余个行业300余位企业高管的调研显示，近半数（46%）企业在复杂迁移过程中遭遇超过5小时的服务中断，导致客户体验受损、收入损失及运营效率下降。最具挑战性的迁移类型包括本地至云端迁移、数据库版本升级及跨云平台迁移。

尽管77%的受访者认可人工智能工具在迁移过程中的有效性，但超过半数（53%）的企业仍不清楚如何选择最适合的AI功能与工具。报告指出，数据转移、目标数据库测试及架构转换是耗时最长的三大任务。

Caylent公司首席执行官Lori Williams表示："调查印证了我们的日常观察——现代化转型势在必行，但技术债务和过时方法往往导致企业遭遇不必要的业务中断和投资回报延迟。"

该报告建议企业将生成式AI与工程专业经验相结合，以降低复杂项目的实施门槛，加快迁移速度并降低传统系统维护成本，从而在持续变化的市场中构建更强健的发展基础。

（注：根据要求已省略原文末尾的推广性语句）

中文翻译：

由谷歌云赞助
选择您的首个生成式AI应用场景
开展生成式AI应用时，请首先关注能够提升人类信息交互体验的领域。

最新调研显示：仅少数企业能按时完成复杂数据迁移，更智能的AI应用或是破局关键
更智能地运用人工智能工具可能成为数据迁移成功的关键。这是亚马逊云科技高级服务合作伙伴、人工智能企业Caylent发布的《2025年数据迁移报告》的核心发现之一。

该项调研覆盖教育、金融服务、休闲娱乐、医疗保健、制造业及公共事业等领域的300余位企业管理者，揭示了若干值得关注的结果：
• 仅6%的受访者表示其企业能按时完成最具挑战性的迁移任务
• 仅6%的受访企业在迁移过程中实现零停机
• 最具挑战性的迁移类型包括本地至云端迁移、数据库版本升级及跨云迁移
近半数受访企业（46%）在复杂迁移中经历超过5小时的停机，导致客户体验受损、收入损失及运营效率下降。

受访者同时披露，在复杂迁移中最耗时的三大任务为：

1. 将数据从源数据库转移至目标数据库
2. 测试目标数据库（含所有集成组件）
3. 转换目标平台的数据库架构

虽然更高效的数据库现代化策略需求显而易见——其中AI应用的效果获得77%受访者认可，称其"有效或非常有效"——但成功实施仍需专业支持。调研数据印证了这一点：尽管60%的受访企业在最棘手的迁移项目中采用了生成式AI或数据移动自动化工具，但超过半数（53%）并不清楚哪些AI功能和工具最适合其需求。

Caylent首席执行官Lori Williams表示："调研结果与我们日常观察一致：现代化转型势在必行，但企业往往因累积的技术债务和过时方法而进展迟缓，导致不必要的停机时间与投资回报延迟。Caylent将生成式AI与深度工程专业知识相结合，显著降低复杂项目的实施门槛并缩短成本回收周期，实现更快速的迁移、降低传统系统成本，并在持续变化的市场中构建更强健的增长基础。"

Caylent完整版调研报告可在其官网下载。
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英文来源：

Sponsored by Google Cloud
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New survey finds only a fraction of companies complete complex data migrations on time and smarter AI use may be the missing piece
Smarter use of artificial intelligence tools could hold the key to more successful data migrations.
That’s one of the key findings of the 2025 Data Migration report from AI intelligence company Caylent, an Amazon Web Services premium tier partner.
The survey polled more than 300 leaders across a number of industries – including education, financial services, leisure, health care, manufacturing and utilities – and uncovered some concerning results.
Among these were the fact that only 6% of respondents said their organizations completed their most challenging migrations on time, with just 6% reporting zero downtime during the migration process. The most challenging migrations were found to be on-premises to cloud, database version upgrades and cross-cloud migration.
Nearly half of all respondents (46%) suffered more than five hours of downtime during challenging migrations, which led to customer experience issues, lost revenues and operational slowdowns.
Respondents also revealed that the top three time-intensive tasks in challenging migrations were moving data from the source to target database, testing the target database (including all integrations), and converting the database schemas for the target platform.
While the need for a more efficient database modernization strategy appears obvious – and the use of AI clearly helps, with 77% of respondents describing it as “effective or highly effective” – more expertise is required for its successful implementation.
This was backed up by the survey, which showed that although 60% of respondents leveraged GenAI or data movement automation tools for their most difficult migration projects, more than half – 53% – lack clarity on which AI features and tools would best serve their needs.
“The survey confirms what we see every day – modernization is imperative, but too often organizations are slowed by accumulated tech debt and outdated approaches that create unnecessary downtime and delayed returns,” said Lori Williams, Caylen’s CEO.
“At Caylent, we combine generative AI with deep engineering expertise to lower the barrier of entry for even the most complex projects and accelerate the time to savings. That means faster migrations, reduced legacy costs and a stronger foundation for growth in a market defined by constant change.”
Caylent’s survey is available to download on its website.
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