Data teams today struggle with fragmented tools, complex infrastructure provisioning, and hours spent writing boilerplate code to connect to data sources. This forces analysts, data scientists, and engineers to work in separate environments, which slows collaboration and time to insight. Since our launch of Amazon SageMaker Unified Studio in March 2025, leading companies such as Bayer, NatWest, and Carrier have adopted it to bring their data teams into one collaborative workspace with unified tools, straightforward infrastructure provisioning, and fast connections to data sources.
Continuing our mission to provide faster time-to-value for customers, in November 2025, we announced Amazon SageMaker notebooks, a serverless workspace with a built-in AI agent in Amazon SageMaker Unified Studio. You can now launch a notebook in seconds, generate code from natural language prompts, and connect automatically to data across Amazon Simple Storage Service (Amazon S3),
