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标普全球:2026年AI全景展望报告:释放代理式人工智能潜能(中译版)(10页).pdf

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1、AIInsights in Motion See the Big PictureSee the Big Picture:AI|2Table of contentsAuthorsAdditional Support:Christina Mitchell,Editorial Manager,Editorial,Design and Publishing,S&P Global Matt Blumenfeld,Senior Editorial Manager,Editorial,Design and Publishing,S&P Global Sean Longoria,Editorial Lead,

2、Central Insights,S&P Global Market Intelligence Stephanie Oxford,Editorial Manager,Editorial,Design and Publishing,S&P Global Matthew Schick,Senior Editor,Visuals,Editorial,Design and Publishing,S&P Global Ellen White,Senior Editor,Editorial,Design and Publishing,S&P Global Carla Donaghey,Senior Des

3、igner,Editorial,Design and Publishing,S&P GlobalEric Hanselman,Chief Analyst,S&P Global Market Intelligence 451 Research Sheryl Kingstone,Research Director,Customer Experience,S&P Global Market Intelligence 451 Research Scott Crawford,Research Director,Information Security,S&P Global Market Intellig

4、ence 451 Research Introduction 3The Take 3Agents in context 3AI velocity 4Agent use cases 5Architectural changes 6Security in agentic 6Achieving agentic 8S&P Global deploys agentic AI for customer applications the Big Picture:AI|3IntroductionAIs growing dominance in technology and market discussions

5、 is hard to miss,but even more transformation of AI technologies and ecosystems is on the way.While the technologys shift to agentic functionality is in early stages,understanding how this is shaping AI development and technology markets is critical.Driving the pace of adoption are enterprises looki

6、ng to capture the promises of increased productivity and operational velocity.Agents introduce new risks,however,and the density of their activity can increase the strain that AI places on infrastructure capacity and heighten related concerns about sustainability.Agents in context Much of the early

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根据《AIInsights in Motion》报告,以下是全文关键点: 1. **AI发展趋势**:AI技术正从模型训练转向更具自主性的“代理”功能,企业寻求提高生产力和运营速度。 2. **代理应用**:代理在处理大量数据和自动化任务方面具有潜力,但同时也引入了新的风险。 3. **AI基础设施需求**:对代理功能的需求导致对AI基础设施的投资增加,例如NVIDIA GPU的出货量预测显著增长。 4. **代理用例**:代理在客户体验、知识工作者支持、IT安全和金融应用等方面具有广泛的应用。 5. **架构变化**:代理需要更广泛的数据访问和更复杂的架构,如Model Context Protocol (MCP)和Agent2Agent (A2A)协议。 6. **安全性**:代理的安全性问题包括数据保护、模型滥用和身份验证。 7. **实现代理**:实现代理需要更高的IT能力,并需要考虑资源管理和数据访问控制。 8. **S&P Global案例**:S&P Global通过智能代理设计改进了KYC操作,提高了效率和合规性。
智能代理如何改变未来?" 智能代理引领新趋势?" 智能代理时代如何保障数据安全?"
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