AWS 컴피턴시 프로그램이란 무엇인가요?
AWS 컴피턴시 프로그램은 기술 전문성을 입증하고 고객 성공을 이룬 AWS 파트너를 검증하고 강조합니다.
AWS 컴피턴시 프로그램은 업계, 사용 사례 및 워크로드 전반에 걸쳐 소프트웨어를 구축하거나 서비스를 제공하는 파트너의 전문성을 검증하는 AWS 전문화 프로그램입니다. 컴피턴시 파트너는 높은 기준에 따라 평가되므로 고객은 비즈니스 성장에 적합한 전문 지식과 경험을 갖춘 파트너를 더 쉽게 찾을 수 있습니다.
아래에서 혜택, 성공 사례, 시작 방법, 사용 가능한 컴피턴시를 살펴보세요.

고객이 클라우드 파트너를 선택하는 방법
0%는
고객이 파트너의 공급업체 인증을 연 2회 이상 검토합니다.0%
의 파트너가 고객의 문제를 해결하기 위해 현재 업계 관련 IP를 보유하고 있거나 적극적으로 구축하고 있습니다.성공 사례
Total results: 105
항목을 찾을 수 없음
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Education
Indian Institute of Hotel Management Streamlines Hospitality Recruitment and Enhances Education with AWS AI-Driven Innovations
The Indian Institute of Hotel Management (IIHM) specializes in hospitality education that offers high-quality training and effective placement solutions. Based in India, the institute worked with AWS Partner Workmates to implement an AWS generative AI solution based on Amazon Bedrock. As a result, IIHM is seeing 50 percent faster interviews, 90 percent hiring accuracy, and a 20–30 percent higher rate of student job placements. In addition, surveys show that IIHM has created a more engaging learning environment, with 75 percent of educators and students now feeling more secure interacting with AI-generated content.
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Financial Services
Mortgage Advice Bureau and BJSS Accelerate Complaints Process Using AWS
Mortgage Advice Bureau (MAB) is an established, multi-award winning, UK mortgage intermediary that provides advice, both through its own branded brokers and through other brokers. It processes about 12,000 mortgages a month and receives around 400 complaints per year. Those complaints, however, are a serious matter, because MAB is regulated by the UK’s Financial Conduct Authority (FCA), whose Financial Ombudsman is the last resort for disputes. MAB wanted to ensure that it could resolve complaints in a timely manner and before they were escalated to the Financial Ombudsman. It engaged AWS Partner BJSS to help build a solution using AI on Amazon Web Services (AWS) to speed up the processing of complaints, reducing initial response times by 75 percent.
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Digital Marketing
Anodot and Automat-it Cut 30% from AI Classification Using Amazon Bedrock
Israel-based Anodot provides AI-powered FinOps for its customers to allow them to track and measure their use of cloud services. Its CostGPT product lets users interrogate spending on cloud services using natural language queries. The first stage of its AI process is to classify questions asked according to six categories, but CostGPT customer experience was being impacted by slow categorization. Anodot worked with AWS Partner Automat-it to migrate its workloads to Amazon Web Services (AWS). The move increased the speed of its classification engine by 30 percent.
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General Public Services
Save the Children Spain Cuts Costs and Improves Campaigns with Devoteam’s AWS-Powered Data Solution
Save the Children Spain, part of a global NGO protecting children’s rights, faced challenges with its on-premises data management system. Unable to effectively integrate and analyze information from multiple sources, it struggled to personalize donor outreach and optimize fundraising. Partnering with AWS Premier Consulting Partner Devoteam, it implemented a cloud-based data-lake solution using Amazon Web Services (AWS). This transformation enabled seamless data integration, enhanced donor insights, and improved campaign effectiveness. The new system streamlined operations, reduced costs, and allowed Save the Children Spain to redirect more resources to humanitarian projects, benefiting children in need worldwide.
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General Public Services
Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation
The 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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AWS 컴피턴시
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사용 사례
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워크로드
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사용 사례
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워크로드