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印孚瑟斯(Infosys):2025年银行业科技指数报告(第五卷)(中译版)(48页).pdf

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1、Infosys Bank Tech Index:Volume 5 May 2025|1External Document 2025 Infosys Limited Knowledge InstituteINFOSYS BANKTECH INDEXVOLUME 5 MAY 2025Infosys Bank Tech Index:Volume 5 May 2025|1External Document 2025 Infosys Limited Knowledge InstituteContentsIntroduction 2Key findings summary 4Technology stra

2、tegic priorities 8Technology talent 12Technology budget analysis 14AI insights 18Cloud insights 36Appendix 42Knowledge InstituteIntroduction2|Infosys Bank Tech Index:Volume 5 May 2025External Document 2025 Infosys Limited Infosys Bank Tech Index:Volume 5 May 2025|3External Document 2025 Infosys Limi

3、ted Knowledge InstituteSince the start of 2025,the impact of artificial intelligence in banking has shifted from promise to reality.Conversations with our clients banks at the forefront of next-generation transformation and customer experience are now dominated by one question:how can AI help us sta

4、y ahead,manage risk,and serve our customers better?Our latest research confirms what we see in practice.Financial institutions are deploying AI across their organizations,from fraud detection to customer service,with tangible results.Banks are using AI to streamline compliance,reduce operational cos

5、ts,and deliver faster,more personalized service to clients.Yet,despite these advances,nearly half of all AI projects remain in early stages,with data management and regulatory complexity as the primary hurdles.What stands out in this years findings is a decisive shift in priorities.Banks are placing

6、 innovation and growth at the top of the agenda.Even with economic uncertainty,the focus has moved beyond cost reduction to building for the future investing in new technologies,scaling AI and cloud capabilities,and accelerating the pace of change.The demand for tech talent has never been higher,ref

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根据报告的内容,本文主要概括了以下关键点: 1. 银行业正在将创新和增长置于首位,预计2025年下半年将加大对增长的投资。 2. 银行业对AI和云技术人才的需求预计将大幅增长。 3. 网络安全在技术预算分配中占据主导地位,但AI支出增长最快。 4. 近四分之一的AI项目已产生商业价值,但大多数项目仍处于早期阶段。 5. 银行在欺诈检测和客户服务中看到了AI的最大价值。 6. 数据隐私和安全是AI采用的主要障碍。 7. 银行预计在未来三年内将转向私有云,但组织数据迁移到云中存在障碍。 8. 数据隐私和安全是云迁移的主要挑战。
银行如何利用AI实现业务增长? 数据隐私和安全性如何影响AI的采用? 银行在云迁移中面临哪些挑战?
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