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IBV:2025从AI项目到利润实现:代理型AI能驱动可持续财务回报路径研究报告(中译版)(32页).pdf

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1、IBM Institute for Business Value|Research InsightsFrom AI projects to profitsHow agentic AI can sustain financial returnsHow IBM can helpClients can realize the potential of AI,analytics,and data using IBMs deep industry,functional,and technical expertise;enterprise-grade technology solutions;and sc

2、ience-based research innovations.For more information about AI services from IBM Consulting,visit more information about AI solutions from IBM Software,visit more information about AI innovations from IBM Research,visit The AI ROI resetAgentic AIAt the crossroadsAction guideContentsIntroduction The

3、AI ROI resetAgentic AIAt the crossroadsAction guideIntroduction 4The AI ROI reset 6Orchestrating transformation with agentic AI 12At the crossroads 18Action guide 241Introduction The AI ROI resetAgentic AIAt the crossroadsAction guide2The generative AI landscape has had a reality checkbut AI more br

4、oadly is showing sustainable financial impact.Projects that once boasted spectacular short-term gains likely attributable to pilots have settled into a more pedestrian 7%ROI for those projects that have scaled,consistent with prior AI cycles.1 Yet operating profit improvements attributable to AI hav

5、e shown consistent growth,indicating an increase in the actual value delivered by AI to shareholders.AI-enabled workflowsmany driven by agentic AIare poised to expand from 3%in 2024 to 25%in 2025,and investment in AI continues to rise.The eightfold increase in AI-enabled workflows suggests not just

6、incremental improvement but a fundamental rethinking of business processes across functionsas reflected in the sustained rise of AI investment,which has grown to about 12%of IT spend.This suggests that business and AI senior executives remain convinced of AIs long-term transformative potential.Organ

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根据报告的内容,本文主要讨论了企业如何通过人工智能实现业务转型。关键点如下: 1. 人工智能的投资回报率从早期的31%下降到7%,但运营利润持续增长,表明人工智能对企业的实际价值在增加。 2. 人工智能驱动的流程预计将从2024年的3%增长到2025年的25%,投资持续增长,表明企业高管相信人工智能的长期转型潜力。 3. 人工智能优先的企业在收入增长和运营利润改善方面表现更好,表明人工智能成熟度正在推动顶线增长和运营效率改进。 4. 人工智能优先的企业更有可能创造全新的机会,利用人工智能扩大业务模式,而不仅仅是优化现有流程。 5. 人工智能优先的企业在数据管理和治理能力方面具有优势,这是持续人工智能成功的关键基础。 6. 企业需要克服知识产权、数据准确性和偏见、信任等挑战,以实现人工智能的转型潜力。 7. 人工智能优先的企业通过建立人工智能驱动的运营模式,同时提高效率、增强客户关系和创新,从而获得竞争优势。
AI如何推动企业转型? 如何实现AI投资回报最大化? AI如何助力企业创新?
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