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借助由人工智能驱动的智能重构技术降低大型机退出风险(宝马和 Fiserv 联合出品).pdf

上传人: 明**** 编号:1012716 2025-12-21 40页 1.91MB

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.M A M 2 0 5Derisk your mainframe exit through refactoring with agentic AI featuring BMW&FiservFrank Uslaub VP,Transformation ProgramsBMW GroupVimal Brahmbhatt SVP,Te

2、chnologyFiservMeena VembusubramanianSr.PMT,AWS Transform for mainframeAWS 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaThe mainframe modernization challenge and traditional bottlenecksAWS Transforms agentic AI capabilities revolutionFiserv:Rapid transformation with enhanc

3、ed qualityBMW:75%acceleration through GenAI-powered testingKey success patterns from both customer journeysYour modernization path and next steps 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Mainframe challengesWith more than 220 billion lines of COBOL code,organizations face c

4、omplex challenges as they modernize for the AI era70%of enterprise applicationsreside on mainframe,with limited agility and ability to innovateProlonged timeframes&bottlenecksTraditional modernization approaches extend into multi-year efforts;extensive manual testing 220 BillionLines of COBOL code i

5、n production 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Mainframe migration project:challenges vs.benefitsDespite benefits,high-touch manual processes requiring expertise made the business case challenging Better TCOOpen source Modern skillsBusiness innovation Agility&automat

6、ionC H A L L E N G E SB E N E F I T SCostsRiskTimeExpertise 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Changing the balance with agentic AI 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Why now?What changed?Augmenting existing approaches with AI allows us

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根据报告的内容,全文主要内容概括如下: - **主frame现代化挑战**:企业面临超过220亿行COBOL代码的复杂挑战,70%的企业应用运行在主frame上,缺乏灵活性和创新能力。 - **传统方法瓶颈**:传统现代化方法耗时多年,需要大量手动测试。 - **AWS Transform解决方案**:利用AI自动化整个转型过程,从分析到代码重构和迁移,将主frame现代化时间缩短至数月。 - **Fiserv案例**:通过AWS Transform,Fiserv在17个月内完成了数百万行COBOL代码到Java的转换,预计维护性提高40%。 - **BMW案例**:使用AWS Transform,BMW实现了75%的测试加速,20%到80%的测试覆盖率提升。 - **成功模式**:利用AI代理理解上下文,进行自主决策,并从每次转换中学习;拥抱智能化而非自动化;在每个转型阶段构建全面的测试和验证;根据应用特性、业务需求和战略目标选择合适的现代化方法。
"AI加速主frame转型,揭秘成功秘诀!" "75%加速!揭秘Fiserv如何用AI实现快速转型?" "告别主frame瓶颈,AWS Transform如何助你一臂之力?"
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