AWS Machine Learning Competency Partners
Drive innovation and unlock greater business value with AWS Specialization Partners that have deep technical knowledge and proven customer success
AWS Machine Learning Competency Partners have demonstrated expertise delivering machine learning (ML) solutions on the AWS Cloud. These partners offer a range of services and technologies to help you create intelligent solutions for your business, from enabling data science workflows to enhancing applications with machine intelligence.
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Data processing such as ingestion, consolidation, removal of duplicate records, imputation of missing values, scaling/normalization of values, elimination of correlated features, feature engineering, and others.
No and low-code platforms for machine learning, usually with a predominantly visual interface, that enable end-to-end model development.
High-code solutions, RESTful API, GraphQL, and algorithms that provide access to trained models and components used to train models.
AWS ML Competency Partners have demonstrated expertise in helping organizations solve the most challenging problems in AI, including data engineering, data science, machine and deep learning, and production deployment for inference at scale.
Development, deployment, and maintenance of ML applications that positively impact customer business outcomes and add value on top of AWS services, in particular AWS AI Services, to solve specific customer needs.
Connect with AWS Machine Learning Competency Partners
Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.
Additional Resources
Discover more AWS Machine Learning Competency Partner solutions and resources.
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General Resources
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Success Stories
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APN TV
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eBooks
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Blogs
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General Resources
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Maximizing Your Machine Learning Investment
Explore AWS Machine Learning Competency Partner eBooks, webinars, customer success stories, and more.
Machine Learning Foundations
Watch the on-demand webinars and discover how these technologies are essential for digital transformations.
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Success Stories
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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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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.
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Education
Indian Institute of Hotel Management Streamlines Hospitality Recruitment and Enhances Education with AWS AI-Driven Innovations
IndiaThe 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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APN TV
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eBooks
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AI Solutions for Financial Services
Appen’s artificial intelligence (AI) experts explain how to identify and implement successful machine learning and AI initiatives.
Machine Learning Within Reach
Learn how to connect with Amazon SageMaker to develop, test, and deploy machine models at scale and take advantage of cost-effective, pay-as-you-go pricing.
Weave AI Into Your Business
Learn how to prepare for, embed, and put AI into production quickly to solve complex business problems.
Mining Your Data Lake for Analytics Insights
Learn about using Delta Lake on Databricks and AWS to prepare and deliver data that drives valuable analytics insights.
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Blogs
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Kamran Razi, Nay Doummar, Varsha Chandan Bellara, Jan Michael Ong, Anila Joshi, Gaurav Dhamija, Justin Johns, Sandeep Singh, 06/11/2025Adobe partnered with the AWS Generative AI Innovation Center, using Amazon Bedrock Knowledge Bases and the Vector Engine for Amazon OpenSearch Serverless. This solution dramatically improved their developer support system, resulting in a 20% increase in retrieval accuracy. In this post, we discuss the details of this solution and how Adobe enhances their developer productivity.
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Eshan Bhatnagar, Amar Goel, 06/11/2025Bito is an innovative startup that creates AI agents for a broad range of software developers. In this post, we share how Bito is able to offer a free tier option for its AI-powered code reviews using Amazon Nova.
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Federico Thibaud, Neil Holloway, Fraser Price, Christian Dunn and Frederica Schrager, Hin Yee Liu, Mohamed Ali Jamaoui, Karsten Schroer, Marco Masciola, 06/11/2025Gardenia Technologies, a data analytics company, partnered with the AWS Prototyping and Cloud Engineering (PACE) team to develop Report GenAI, a fully automated ESG reporting solution powered by the latest generative AI models on Amazon Bedrock. This post dives deep into the technology behind an agentic search solution using tooling with Retrieval Augmented Generation (RAG) and text-to-SQL capabilities to help customers reduce ESG reporting time by up to 75%. We demonstrate how AWS serverless technology, combined with agents in Amazon Bedrock, are used to build scalable and highly flexible agent-based document assistant applications.
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Visu Sontam, Geert Coelmont, Thirupathi Bommidi, 06/11/2025Building on our previous exploration of AWS Mainframe Modernization for the telecommunications industry, we now turn our focus to a powerful partnership that’s revolutionizing the modernization journey for telcos. In this blog post, we delve into how AWS and Astadia, an Amdocs Company, are joining forces to provide a comprehensive, automated solution for mainframe modernization [...]
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Liz Martin, 06/11/2025In today’s rapidly evolving security landscape, the technological edge isn’t just an advantage—it’s a necessity. We’re thrilled to share a milestone that will transform how our government customers harness the power of artificial intelligence (AI): AWS is the first cloud provider to achieve FedRAMP High and Department of Defense (DoD) Cloud Computing Security Requirements Guide Impact Level 4 and 5 authorizations for Anthropic’s Claude and Meta’s Llama AI foundation models.
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