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印孚瑟斯(Infosys):2025企业AI架构与技术:设计自主化未来研究报告(中译版)(24页).pdf

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1、ENTERPRISE AI ARCHITECTURE AND TECHNOLOGY:DESIGNING THE AUTONOMOUS FUTUREKnowledge Institute2|Enterprise AI architecture and technology:Designing the autonomous futureExternal Document 2025 Infosys LimitedContentsIntroduction 4The journey from horizon 1 to horizon 3 5AI cloud 8AI models and engineer

2、ing 11Agentic AI 14AI assurance 17AI applications 19Advisory council 21Contributors 21Enterprise AI architecture and technology:Designing the autonomous future|3External Document 2025 Infosys Limited4|Enterprise AI architecture and technology:Designing the autonomous futureExternal Document 2025 Inf

3、osys LimitedIntroduction Artificial intelligence(AI)is accelerating through transformative breakthroughs in agentic systems,multimodal processing,and frontier cognitive architectures innovations that are reshaping the enterprise landscape as we know it.What began as a promising experiment has now ma

4、tured into demonstrable business impact.The expanding influence of generative AI is no longer a distant possibility;its a present force thats empowering organizations to move beyond pilot projects.Businesses are decisively breaking free from isolated AI applications,embedding intelligence systematic

5、ally across their operational backbone through structured,three-horizon transformation frameworks.But the future of AI goes beyond mere intelligence.Its contextually adaptive and autonomously collaborative a force that doesnt just augment human capability but transforms how work is done.Generative A

6、I has evolved from merely blurring the lines between human and machine ingenuity to creating entirely new forms of partnership.Enterprises that integrate AI with comprehensive cloud infrastructures,advanced model engineering,and agentic orchestration are gaining decisive competitive advantages resha

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根据《Enterprise AI Architecture and Technology: Designing the Autonomous Future》的内容,以下是全文关键点的概括: 1. **AI发展现状**:AI正通过代理系统、多模态处理和前沿认知架构的突破性进展加速发展,对企业景观产生深远影响。 2. **AI应用趋势**: - AI平台向智能化、专业化、多模态发展。 - 自主、代理式AI平台重塑企业运营。 - GPU-as-a-service成为新的基础设施模型。 - 替代硬件推动高效AI推理。 - 小型语言模型(SLM)获得关注。 3. **AI模型与工程**: - 从基础的双模态、单任务系统发展到集成、智能平台,现在正走向具有认知自主性的自主系统。 - AI从窄领域、单用途模型发展到跨模态推理和集成认知。 - 机器人从任务特定、命令驱动的机器转变为适应性伙伴。 4. **AI安全与风险**: - 监管和治理重塑AI发展。 - AI安全和风险管理成为重点。 5. **AI应用实例**: - AI在软件开发、测试自动化、工作流程自动化等方面的应用。 - AI在客户支持、产品推荐、人力资源流程等方面的应用。 核心数据包括: - AI平台正从通用平台向特定任务和行业定制化解决方案发展。 - AI模型和工程领域正从基础的双模态、单任务系统发展到集成、智能平台,现在正走向具有认知自主性的自主系统。
三阶段进化揭秘" 从智能到自主" 从成熟到自主进化"
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