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。
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。
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Media & Entertainment
Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability
BelgiumLadbrokes.live, a provider of streaming sports entertainment content operating in Belgium, was grappling with critical challenges that hindered their ability to attract and retain users. Partnering with AWS Partner, Cloudar—also based in Belgium—the company transitioned to a cloud-native architecture powered by Amazon Web Services (AWS) technologies. This transformation enabled Ladbrokes.live to deliver a seamless, personalized user experience featuring avatars that can be customized to deliver information and statistics relevant to the viewers’ interests, in their language of choice. The solution also helped Ladbrokes.live optimize operational costs and set the stage for continuous innovation in a highly competitive industry.
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Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation
RwandaThe Tehanu project in Rwanda’s Volcanoes National Park has demonstrated groundbreaking use of generative AI to infer and act on the interests of mountain gorillas. Leveraging technology solutions from Amazon Web Services (AWS), AWS Partner Anthropic, and with the support of AWS Partner Adastra, Tehanu created an automated pipeline to process behavioral data of gorillas, enabling the first-ever digital financial transactions by a non-human species. The AI solution synthesized vast academic and observational data, aligning conservation actions with species-specific preferences while supporting biodiversity efforts. This scalable, innovative approach sets a precedent for using AI to foster coexistence across species worldwide.
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Max Peterson, 2024年11月29日Around the world, organizations are evaluating and embracing artificial intelligence (AI) and machine learning (ML) to drive innovation and efficiency. From accelerating research and enhancing customer experiences to optimizing business processes, improving patient outcomes, and enriching public services, the transformative potential of AI is being realized across sectors. Although using emerging technologies helps drive positive [...]
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Jonathan Jenkyn, Michael Tschannen, 2025年2月11日March 27, 2025: Two policies in this post were updated. Generative AI applications often involve a combination of various services and features—such as Amazon Bedrock and large language models (LLMs)—to generate content and to access potentially confidential data. This combination requires strong identity and access management controls and is special in the sense that those [...]
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Aileen Zheng, 2025年3月12日In recent years, public sector organizations have found success running their scientific data processing workloads on Amazon Web Services. As the number of workloads increase with the massive data volume and complex scientific simulations, organizations are looking for ways to optimize cost while maintaining research momentum. Amazon EC2 Spot Instances presents a compelling option to run unused Amazon Elastic Compute Cloud (Amazon EC2) capacity with an up to 90 percent discount compared to On-Demand prices. However, the intermittent nature of Spot Instances often requires careful consideration, especially when handling time-sensitive mission-critical workloads. In this post, we discuss how organizations can effectively identify opportunities to use Spot Instances and Amazon Q Business to develop an enhanced Spot Instance analysis.
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Luciana Decristofaro, Jon Friesen, João Bozelli, 2025年3月28日Introduction For more than a decade, Amazon Web Services (AWS) has enabled customers to modernize their businesses. AWS provides simplified, API-based access to a range of services, including Networking, Compute, Analytics, Messaging, Security and Identity, Mobile Services and Generative AI. These services allow customers to experiment and innovate at faster pace, without requiring a heavy [...]
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Satveer Khurpa, Andrew Kane, Antonio Rodriguez, Shyam Srinivasan, 2025年3月28日Amazon Bedrock Guardrails announces the general availability of image content filters, enabling you to moderate both image and text content in your generative AI applications. In this post, we discuss how to get started with image content filters in Amazon Bedrock Guardrails.
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