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。
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。
-
一般資源
-
成功案例
-
APN 電視
-
電子書
-
部落格
-
一般資源
-
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。
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。
-
成功案例
-
1-3 (119)Showing results: 1-3
Total results: 119最近新增- 最近新增
- 標題 (A-Z)
- 標題 (Z-A)
找不到結果。
-
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.
-
General Public Services
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.
-
APN 電視
-
-
電子書
-
部落格
-
Showing results: 1-5
Total results: 5592日期- 日期
找不到符合該條件的部落格。-
Shreyas Subramanian, Adewale Akinfaderin, Ishan Singh, Jesse Manders, 2025年5月6日Now with Amazon Bedrock, you can develop custom evaluation metrics for both model and RAG evaluations. This capability extends the LLM-as-a-judge framework that drives Amazon Bedrock Evaluations. In this post, we demonstrate how to use custom metrics in Amazon Bedrock Evaluations to measure and improve the performance of your generative AI applications according to your specific business requirements and evaluation criteria.
-
David Marsh, Evence Edoun, 2025年5月6日Nonprofit organizations face unique security challenges due to their resource constraints and prioritization of mission-focused initiatives. In this blog post, we discuss Amazon Web Services (AWS) security best practices to accelerate mission impact and demonstrate how upfront security investments can both improve security and save time on redundant processes in the long run.
-
Sim Yuanwei Aaron, Hardeep Arora, 2025年5月6日In this post, we discuss Health Kaki, a generative AI health companion using the Amazon Bedrock foundation model (FM), and highlight how the team that developed Health Kaki navigated the challenges of scaling from concept to real-world implementation.
-
Ghandi Nader, Hari Radhakrishnan, Alex Rees, Umesh Kalaspurkar, 2025年5月6日Hyper-personalization is transforming digital marketing and enhancing customer experience. This blog post explains how the Braze customer engagement platform, augmented by Amazon Web Services (AWS) Generative AI services, revolutionizes your brand-customer interactions. By integrating Braze with AWS’s advanced AI capabilities, you can forge more meaningful, real-time connections with your customers. Using Amazon Bedrock, Braze creates highly personalized content that adapts to your customers’ individual preferences and behaviors in real time. This approach facilitates tailored messaging, recommendations, and interactions that resonate deeply with each user, driving immediate engagement, long-term loyalty, and revenue growth. In this post, we’ll explore how strategically integrating Braze and AWS transformed customer engagement strategies, fostering a more personalized and profitable customer journey.
-
Sam Bydlon, Dr. Moritz Maier, Ram Dhiwakar Seetharaman, Ryan Qi, 2025年5月6日In this post, we’ll examine how this multi-agent approach works, the architecture behind it, and the efficiency improvements it enables. While the focus is on an engineering use case, the principles apply broadly to any organization facing the challenge of coordinating specialized expertise to deliver faster, more consistent results.
後續步驟
尋找 AWS 合作夥伴 »
與具備 Partner Solutions Finder 全球專業知識的 AWS 專業化合作夥伴交流。