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利用基础平台架构元素加速前沿人工智能发展(由 Capital One 赞助).pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Abhijit Bose,SVP,Head of Enterprise AI and ML PlatformsCapital OneAIM282-S-Accelerating Frontier AI with Enterprise AI PlatformsSponsored by Capital One 2025,Amazon

2、Web Services,Inc.or its affiliates.All rights reserved.Meet your presenterAbhijit BoseSVP,Head of Enterprise AI and ML PlatformsCapital One 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.AgendaAI at Capital oneThe Enterprise AI ChallengeEnterprise AI Platform ApproachModel Hostin

3、g and InferenceCase Study:Agentic Coding ToolsThe Future:AI-First EnterpriseHPC Clusters Powered by EKSAgentic AI Capabilities 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Capital One at a glance30-year-old,founder-led,Fortune 100(NYSE:COF)companyNations largest direct bankFort

4、une 100 Best Companies to Work For Fortune Americas Most Innovative CompaniesFortune Worlds Most Admired Companies Fast Companys Most Innovative Companies&Best Place to Work for InnovatorsEvident AI Index Top Global Banks in AI Maturity&TalentTop 10 US Patent Leaders in Generative&Agentic AI 2025,Am

5、azon Web Services,Inc.or its affiliates.All rights reserved.AgendaAI at Capital oneThe Enterprise AI ChallengeEnterprise AI Platform ApproachHPC Clusters Powered by EKSModel Hosting and InferenceAgentic AI CapabilitiesCase Study:Agentic Coding ToolsThe Future:AI-First Enterprise 2025,Amazon Web Serv

6、ices,Inc.or its affiliates.All rights reserved.Our history as a technology innovator positions us well to responsibly advance to the frontier of AI in financial servicesHeritage of Data-Driven Decision MakingIn-House Engineering/Data Science TalentAll In on the CloudModern Tech StackData Transform-a

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- **Capital One AI战略**:Capital One致力于成为AI驱动的企业,通过内部技术革新,在金融服务业中推进AI前沿。 - **技术发展历程**:从2014年开始现代化架构,到2020年完成云迁移,Capital One不断推进技术进步。 - **AI应用**:广泛使用AI于产品和服务,如连接零售商与顾客、图像识别、智能旅行预订等。 - **AI平台**:建立企业AI平台,包括HPC集群、模型托管和推理、Agentic AI能力等。 - **HPC集群**:使用AWS、开源和定制能力构建高性能计算集群,用于LLM预训练、后训练和RL。 - **Agentic AI**:开发MACAW系统,实现自主规划、推理和行动。 - **安全与合规**:强调在安全、数据隐私、治理、合规和风险评估方面零妥协。 - **人才培养**:与顶尖大学合作,建立学术卓越中心,培养AI人才。 - **未来展望**:继续扩展AI能力,实现垂直整合、端到端堆栈,并加强风险管理。
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