AWS 机器学习能力合作伙伴具备在 AWS Cloud 中交付机器学习(ML)解决方案方面的专业知识。这些合作伙伴提供一系列服务和技术,帮助您创建智能的业务解决方案,从启用数据科学工作流到使用机器智能增强应用程序。
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按类别搜索 AWS 机器学习能力合作伙伴
提供数据处理,例如摄取、合并、删除重复记录、缺失值插补、扩缩/标准化数据值、删除相关特征、特征工程等。
用于机器学习的无代码平台和低代码平台,通常以可视化界面为主,支持端到端模型开发。
高级代码解决方案、RESTful API、GraphQL 和算法,让客户可以访问经过训练的模型和用于训练模型的组件。
AWS 机器学习能力合作伙伴具备专业知识,能帮助组织解决人工智能中最具挑战性的难题,包括数据工程、数据科学、机器和深度学习以及大规模推理的生产部署。
开发、部署和维护机器学习应用程序,这些应用程序可对客户的业务成果产生积极影响、增加 AWS 服务(特别是 AWS AI 服务)的价值,以满足特定的客户需求。
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探索 AWS 机器学习能力合作伙伴电子书、网络研讨会、客户成功案例等。
机器学习基础知识
观看点播网络研讨会,了解这些技术对数字化转型的重要性。
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Financial Services
Paynela Improves Data Accessibility Using generative AI With the Help of Mission
United StatesPaynela, a Puerto Rico-based healthcare financing innovator, revolutionized patient financial assistance through cutting-edge solutions powered by AWS Partner Mission. Dedicated to making healthcare more accessible, Paynela helps patients manage their out-of-pocket medical expenses with dignity and ease. By leveraging Amazon Web Services (AWS) and Mission's expertise, Paynela harnessed the power of generative AI to analyze complex healthcare data, resulting in deeper insights and expanded patient support capabilities.
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Software & Internet
NeuralSpace Accelerates AI Model Training Speed by 96% in Migration to AWS with Rebura
United KingdomNeuralSpace, a London-based AI startup, had the same problem that many startups have: not enough time, not enough money, and too much to do. It needed to develop and train the AI models that powered its language AI applications—automatic translation of text and speech, automated subtitling, and automated AI dubbing of content—but these processes were taking too long. With 20–30 TB of data being used to train each model, it could take 3–6 months to train just one. And the company needed to train multiple models to develop its products. NeuralSpace knew that it needed to find a way to speed up model training that would fit within its limited budget. With the help of AWS Partner Rebura, NeuralSpace migrated to Amazon Web Services (AWS) to enable faster modeling and a crucial pivot in focus.
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Manufacturing
Usiminas, with Enkel’s Support, Reduces R$ 9 Million in Transportation Costs by Optimizing Processes Through AWS Services
BrazilUsiminas, supported by AWS Partner Enkel tackled significant challenges in freight pricing and route optimization within the steel industry. By developing a customized automation platform based on AWS services, the Brazilian steel company streamlined logistics processes, leading to a 14% reduction in costs and significant efficiency gains. The project not only cut delivery distances by 448,000 kilometers but also resulted in a notable decrease in CO2 emissions, avoiding the release of 1,577 metric tons. This project enhances Usiminas' market competitiveness and reinforces its commitment to environmental sustainability, demonstrating the positive impact of innovative solutions in the logistics sector.
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AWS Team, 2025-02-12本文介绍了亚马逊云科技作为云计算领域的领导者,通过创新的 10p10u 网络架构,为满足万卡级别 Nvidia GPU 或亚马逊自研 Trainium2 加速器的超大规模算力需求挑战提供了网络解决方案。本文详细介绍这一突破性技术的背景、设计目标和核心创新。
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AWS Team, 2025-02-18本文介绍了在 Amazon SageMaker 上执行基于 TorchRec 的大规模推荐模型训练的最佳实践。
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AWS Team, 2025-02-14通过与亚马逊云科技的紧密合作,斯曼森成功构建了一个专门针对法律行业的大型语言模型。该模型不仅能够高效处理用户输入的案情概述,还能分析案件、识别关键事实和证据,并输出问题列表,帮助法律咨询人员快速理解案件要点。
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AWS Team, 2025-02-14亚马逊云科技已于 2025 年 1 月上线 DeepSeek 系列大模型,用户可以通过以下几种方式在亚马逊云科 [...]
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AWS Team, 2025-02-12AWS Inferentia2 是亚马逊云科技自主研发的云端机器学习推理芯片,为深度学习推理工作负载提供高性能和高效率的计算能力,帮助客户在云端高效地部署和运行机器学习模型。
后续步骤
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