AWS 機器學習能力合作夥伴

透過擁有深厚技術知識和經客戶成功實證的 AWS 專業化合作夥伴,推動創新並發揮更高的商業價值

AWS 機器學習能力合作夥伴已展現在 AWS 雲端提供機器學習 (ML) 解決方案的專業知識。這些合作夥伴提供一系列服務和技術,協助您為企業建立各種智慧解決方案,從支援資料科學工作流程到利用機器智慧強化應用程式都包含在內。

AWS 機器學習能力合作夥伴標誌

依類別搜尋 AWS 機器學習能力合作夥伴

諸如擷取、合併、移除重複記錄、缺少值的補充、值的縮放/規範化、消除相關特徵、特徵工程等資料處理。

用於機器學習的無程式碼和低程式碼平台,通常具有主要的視覺化界面,可實現端到端模型開發。

高程式碼解決方案、RESTful API、GraphQL 和演算法,可讓您存取用於訓練模型的已受訓模型和元件。

AWS ML 能力合作夥伴在協助組織解決 AI 中最具挑戰性的問題方面展現出專業知識,包括資料工程、資料科學、機器和深度學習,以及大規模推理的生產部署。

開發、部署和維護機器學習應用程式,這些應用程式會對客戶業務成果產生正面影響,並增加 AWS 服務 (特別是 AWS AI Services) 的價值,以解決特定客戶的需求。

在整個資料生命週期中針對機器學習模型提供持續整合與持續部署解決方案,包括建立資料湖、各資料服務的自動化資料預先處理、在雲端部署,以及機器學習特定的規則和程序,以進行模型重新部署。

與 AWS 機器學習能力合作夥伴交流

與經過技術驗證的 AWS 合作夥伴合作,推動創新、達成業務目標,並充分發揮 AWS 服務效益。

AWS 合作夥伴能源能力標誌

其他資源

探索更多的 AWS 機器學習能力合作夥伴解決方案和資源。

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  • 將您的機器學習投資最大化

    探索 AWS 機器學習能力合作夥伴電子書、網路研討會、客戶成功案例等。

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    機器學習基礎知識

    觀賞隨需網路研討會,深入了解這些技術對於數位轉型的重要性。

    查看 AWS 機器學習合作夥伴基礎知識 »

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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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  • 電子書
  • 金融服務 AI 解決方案

    Appen 的人工智慧 (AI) 專家解釋如何識別和實作成功的機器學習及 AI 計畫。

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    機器學習觸手可及

    了解如何連線至 Amazon SageMaker 以大規模開發、測試和部署機器模型,並利用符合成本效益的依用量計費定價。

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    將 AI 融入貴企業

    了解如何為 AI 做好準備、嵌入 AI 並快速將其運用到生產中,以解決複雜的業務問題。

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    挖掘您的資料湖以取得分析洞察

    了解如何在 Databricks 和 AWS 上使用 Delta Lake 來準備並交付能夠用於分析以取得洞察的資料。

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    • Jon Handler, 2025年2月21日
      In this post, you’ll learn how to use OpenSearch Service and Amazon Bedrock to build AI-powered search and generative AI applications. You’ll learn about how AI-powered search systems employ foundation models (FMs) to capture and search context and meaning across text, images, audio, and video, delivering more accurate results to users. You’ll learn how generative AI systems use these search results to create original responses to questions, supporting interactive conversations between humans and machines.
    • David Appel, 2025年2月21日
      Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like Amazon Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.
    • Carisa Schow, 2025年2月21日
      Healthcare organizations face tremendous pressure to meet patient and provider expectations. The imperative to maintain excellence in care delivery while driving operational efficiency has never been more critical. Forward-thinking healthcare institutions are embracing cloud solutions through AWS Marketplace to help them modernize infrastructure, optimize data management, and enhance operational workflows.
    • Dian Xu, Joel Hawkins, Alak Eswaradass, Sajjan AVS, 2025年2月21日
      In this post, we share how we modernized Rocket Companies’ data science solution on AWS to increase the speed to delivery from eight weeks to under one hour, improve operational stability and support by reducing incident tickets by over 99% in 18 months, power 10 million automated data science and AI decisions made daily, and provide a seamless data science development experience.
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      Verisk’s Premium Audit Advisory Service is the leading source of technical information and training for premium auditors and underwriters. In this post, we describe the development of the customer support process in PAAS, incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.

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