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领导者的智能人工智能指南.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Amazon Confidential and Trademark.1 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.S N R 2 0 1A leaders guide to agentic AI Ishit VachhrajaniDirector,Tech,AI,Analytics&Executive in Residence,AWSA I A S S I S T A

2、N TA U T O M A T I O NG O A L-B A S E D A G E N T SA G E N T I C S Y S T E M SNot all that glitters is gold AGENTIC SYSTEMS GOAL-BASED AGENTS AIASSISTANTSH I G H A U T O N O M YL O W A U T O N O M YAUTOMATIONAgentic AI maturity scaleAchievesCollaboratesResponds ActsWhat makes it agentic?What makes i

3、t agentic?Goal-orientedProactiveLearns&adaptsResourcefulKnows limitsEscalatesRemembers1234567A G E N TWhy now?The length of tasks AI can do is doubling every 7 months20203 sec20252 hrsDropping price for constant intelligenceMMLU 42MMLU 832022$982025$0.48C O S T I N U S D P E R M I L L I O N T O K E

4、N S63%CUSTOMER ISSUES RESOLVED WITH DRUAI58%FASTER RESOLUTION OF SUPPORT CASES REQUIRING HUMAN INTERVENTIONWhy shouldnt customers be able proactively secure,recover and manage their data?Still not standing out transition to the next slide doesnt show contrast either Today we optimize for determinism

5、Today we optimize for determinismNon-determinism is a feature,not a bug.From micromanagementto high agencyThe path to high agency requires a leadership shiftAutomation is about managinglow judgement workAgents are about leading judgement at scaleNew era of intelligent autonomyG O V E R N A N C ER I

6、S KO R G A N I Z A T I O NC U L T U R EGatesF R O MDefine the processControl each actionCompliance through checklistsEscalation as exceptionAudit for accuracyG O V E R N A N C EGatesF R O MDefine the processControl each actionCompliance through checklistsEscalation as exceptionAudit for accuracyG O

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根据《Agentic AI: A Leader's Guide》的内容,以下是全文关键点的概括: 1. **Agentic AI 成熟度**:Agentic AI 按成熟度分为七个阶段,从“响应”到“实现”,每个阶段代表AI的自主性和能力。 2. **Agentic AI 的特点**:Agentic AI 具有目标导向、主动学习、资源丰富、了解限制、能够升级和记忆等特点。 3. **AI 发展趋势**:AI 能力每7个月翻倍,成本持续下降,AI 解决客户问题比例增加。 4. **领导力转变**:从微观管理到高自主性,自动化管理低判断工作,而 Agentic AI 则是关于在规模上领导判断。 5. **治理与风险**:从静态规则到实时风险可见性,Agentic AI 需要动态的风险管理和监督。 6. **组织文化**:从功能性的组织结构到免疫系统和响应性群体,组织文化需要支持学习和适应性。 7. **应用基础设施**:Agentic AI 需要强大的基础设施支持,包括记忆、身份和访问控制、工具使用等。 8. **最佳实践**:Agentic AI 应从简单任务开始,逐步扩展到复杂场景,并考虑成本、复杂性和调整需求。
企业转型新动力?" 未来工作模式变革?" AI如何引领企业变革?"
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