Data AnalysisAugments Human LaborVerified
Reviewed and published by trentmaziarz, March 18, 2026. Discovered and drafted by our automated research pipeline.
Amazon SageMaker is AWS's unified platform for data scientists and engineers to build, train, and deploy machine learning models at enterprise scale. In December 2024, AWS relaunched it as a consolidated environment for data analytics, AI model development, and big data processing, used by hundreds of thousands of customers globally.
Details
The next-generation Amazon SageMaker (announced December 2024) brings together data exploration, SQL analytics, big data processing, machine learning model development, and generative AI application development in a single environment accelerated by Amazon Q Developer. It includes Amazon SageMaker Unified Studio (a unified IDE for data and AI work), SageMaker Lakehouse (a managed data layer), and SageMaker Data and AI Governance tools. In 2025, SageMaker AI added Flexible Training Plans for GPU capacity reservation, improved model observability, and integration with local IDEs. Customers span industries including automotive (Toyota), life sciences (Roche), and financial services (NatWest Group). SageMaker was first launched in November 2017 as a managed ML service.
Products affected
Amazon SageMakerAmazon SageMaker Unified StudioAmazon SageMaker LakehouseAWS GlueAmazon EMRAmazon Redshift
Sources & Evidence
Company Disclosure
Cite this record
Trace Foundation. (2026). AWS (Amazon Web Services): Amazon SageMaker is AWS's unified platform for data scientists and engineers to build, train, and deploy machine learning models at enterprise scale. In December 2024, AWS relaunched it as a consolidated environment for data analytics, AI model development, and big data processing, used by hundreds of thousands of customers globally (data as of 2026-09-02) [Data set record]. AI Trace. https://www.aitrace.org/r/practice/2f986280-ccca-4f89-9248-a49b37c12972. Accessed October 13, 2026.
- Stable link
- https://www.aitrace.org/r/practice/2f986280-ccca-4f89-9248-a49b37c12972
- Data as of
- September 2, 2026
- Last verified
- Not recorded
Other practices by AWS (Amazon Web Services)
ProductivityAmazon Q Business is an AI assistant AWS offers to enterprise employees, allowing them to ask questions in plain language and get answers drawn from their company's own internal documents, databases, and software systems. It became generally available in April 2024.RecommendationAmazon Personalize is an AWS service that offers businesses a fully managed machine learning engine to build custom recommendation systems for their own websites, apps, emails, and marketing campaigns. It has been generally available since June 2019 and is based on the same recommendation technology used internally by Amazon.com.OtherAWS deployed AWS Security Agent, an AI agent that automatically reviews application code and architecture for vulnerabilities and runs penetration tests on demand throughout the software development process. It launched in preview in December 2025 and the penetration testing capability reached general availability in six regions on March 31, 2026.
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