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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Search for AWS Machine Learning Competency Partners by category

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.

Continuous integration and continuous deployment solutions for ML models over the entire data lifecycle including data lake creation, automated data preprocessing across data services, deployment in the cloud, and machine-learning-specific rules and processes for model redeployment.

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.

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Additional Resources

Discover more AWS Machine Learning Competency Partner solutions and resources.

  • General Resources
  • Maximizing Your Machine Learning Investment

    Explore AWS Machine Learning Competency Partner eBooks, webinars, customer success stories, and more.

    View the AWS Machine Learning Partner Resources »

    Machine Learning Foundations

    Watch the on-demand webinars and discover how these technologies are essential for digital transformations.

    View AWS Machine Learning Partner Foundations »

  • Success Stories
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    • Media & Entertainment

      Cloudar Helps Ladrokes.live Transform The Sports Fan Experience With Cloud-Native Scalability

      Belgium

      Ladbrokes.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.

      2025
    • General Public Services

      Wildlife-Centered AI: How AWS and Tehanu Use Generative AI to Give Wildlife a Voice in Global Conservation

      Rwanda

      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.

      2025
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  • APN TV
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  • eBooks
  • AI Solutions for Financial Services

    Appen’s artificial intelligence (AI) experts explain how to identify and implement successful machine learning and AI initiatives.

    View the eBook »

    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.

    View the eBook »

    Weave AI Into Your Business

    Learn how to prepare for, embed, and put AI into production quickly to solve complex business problems.

    View the eBook »

    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.

    View the eBook »

  • Blogs
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    • Chiho Sugimoto, Shubham Agrawal, Joju Eruppanal, Noritaka Sekiyama, Julie Zhao, 12/16/2024
      With Amazon SageMaker Lakehouse unified data connectivity, you can confidently connect, explore, and unlock the full value of your data across AWS services and achieve your business objectives with agility. This post demonstrates how SageMaker Lakehouse unified data connectivity helps your data integration workload by streamlining the establishment and management of connections for various data sources.
    • Jasmine Rasheed Syed, Michelle Kramer, ManojKumar Kotakonda, Manish Madhukar, Marco Punio, 03/12/2025
      The Agent AI Ally solution revolutionizes call center operations by harnessing generative AI to provide agents with real-time, contextual support and product information during customer interactions. Powered by Anthropic’s Claude 3.5 Sonnet model through Amazon Bedrock, the solution delivers instant insights and suggestions while analyzing customer responses in real-time. This comprehensive platform integrates key AWS services including Amazon Connect, Transcribe, and Kendra to create a powerful system that enhances agent performance and customer satisfaction through AI-driven assistance and efficient data processing
    • Sunil Bemarkar, John Klacynski, Louis Prensky, Philip Kang, 02/10/2025
      AWS and Appian’s collaboration marks a significant advancement in business process automation. By using the power of Amazon Bedrock and Anthropic’s Claude models, Appian empowers enterprises to optimize and automate processes for greater efficiency and effectiveness. This blog post will cover how Appian AI skills build automation into organizations’ mission-critical processes to improve operational excellence, reduce costs, and build scalable solutions.
    • Christian Petters, Aashi Agrawal, Achintya Singh, Shashank Chinchli, 08/14/2017
      March 2025: This post was reviewed and updated for accuracy. Amazon Rekognition is a service that simplifies adding image analysis to your applications. It uses the same proven, highly scalable deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images daily for Amazon Prime Photos. Its facial recognition feature allows you [...]
    • Prasanna Sridharan, Dr. Hemant Joshi, 03/11/2025
      A recent evaluation conducted by FloTorch compared the performance of Amazon Nova models with OpenAI’s GPT-4o. In this post, we discuss the findings from this benchmarking in more detail.

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