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.
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.
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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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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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Josh Hart, Nihilson Gnanadason, 02/20/2025In this post, we explore the process of building a multi-tenant generative AI application using Aurora PostgreSQL-Compatible for vector storage. In Part 1 (this post), we present a self-managed approach to building the vector search with Aurora. In Part 2, we present a fully managed approach using Amazon Bedrock Knowledge Bases to simplify the integration of the data sources, the Aurora vector store, and your generative AI application.
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Josh Hart, Nihilson Gnanadason, 02/20/2025In this post, we discuss the fully managed approach using Amazon Bedrock Knowledge Bases to simplify the integration of the data source with your generative AI application using Aurora. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available through an API, so you can choose from a wide range of FMs to find the model that is best suited for your use case.
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Sajin Jacob, Jerry Chen, Siddarth Mohanram, Luis Barbier, Kristen Chenowith and Michelle Stahl, Arun Pradeep Selvaraj, Ryan Doty, 02/20/2025Verisk’s Premium Audit Advisory Service is the leading source of technical information and training for premium auditors and underwriters. In this post, we describe the development of the customer support process in PAAS, incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.
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Santosh Kulkarni, Joyanta Banerjee, Mallik Panchumarthy, 02/20/2025In this post, we explore how you can use LLMs with advanced Retrieval Augmented Generation (RAG) to generate high-quality synthetic data for a finance domain use case. You can use the same technique for synthetic data for other business domain use cases as well. For this post, we demonstrate how to generate counterparty risk (CR) data, which would be beneficial for over-the-counter (OTC) derivatives that are traded directly between two parties, without going through a formal exchange.
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Channy Yun (윤석찬), 02/17/2025Join us for the AWS Developer Day on February 20! This virtual event is designed to help developers and teams incorporate cutting-edge yet responsible generative AI across their development lifecycle to accelerate innovation. In his keynote, Jeff Barr, Vice President of AWS Evangelism, shares his thoughts on the next generation of software development based on [...]
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