AWS 机器学习能力合作伙伴

与拥有深厚技术知识和久经考验的客户成功案例的 AWS 专业化合作伙伴一起推动创新并释放更大的商业价值

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。

AWS 机器学习能力合作伙伴徽标

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。

在整个数据生命周期中为机器学习模型提供持续集成和持续部署解决方案,包括数据湖创建、跨数据服务的自动化数据预处理、云端部署以及用于重新部署模型的机器学习具体规则和流程。

联系 AWS 机器学习能力合作伙伴

通过与经过技术验证的 AWS 合作伙伴合作,推动创新、实现业务目标并充分利用您的 AWS 服务。

AWS 合作伙伴能源能力徽标

其他资源

发现更多 AWS 机器学习能力合作伙伴解决方案和资源。

  • 一般资源
  • 最大化您的机器学习投资

    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。

    查看 AWS 机器学习合作伙伴资源 »

    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。

    查看 AWS 机器学习合作伙伴基础知识 »

  • 成功案例
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    • Financial Services

      Paynela Improves Data Accessibility Using generative AI With the Help of Mission

      United States

      Paynela, 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.

      2025
    • Software & Internet

      NeuralSpace Accelerates AI Model Training Speed by 96% in Migration to AWS with Rebura

      United Kingdom

      NeuralSpace, 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.

      2024
    • Manufacturing

      Usiminas, with Enkel’s Support, Reduces R$ 9 Million in Transportation Costs by Optimizing Processes Through AWS Services

      Brazil

      Usiminas, 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.

      2024
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  • 电子书
  • 面向金融服务的 AI 解决方案

    Appen 的人工智能(AI)专家解释了如何甄别和实施成功的机器学习和 AI 计划。

    查看电子书 »

    机器学习触手可得

    了解如何连接 Amazon SageMaker,以大规模开发、测试和部署机器模型,并利用经济实惠的即用即付定价模式。

    查看电子书 »

    将 AI 融入您的业务

    了解如何为 AI 做好准备、快速将其嵌入并投入生产环境,以解决复杂的业务问题。

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    挖掘您的数据湖以获得分析见解

    了解如何借助 Databricks 上的 Delta Lake 和 AWS 准备和交付数据,以推动产生有价值的分析见解。

    查看电子书 »

  • 博客
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后续步骤

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