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AWS SageMaker is transforming into a combined data and AI hub
The next-generation of SageMaker will make accessing data assets and wide-ranging tools to make the most of them faster than ever.
Today at its annual huge conference re:Invent 2024, Amazon Web Services (AWS) announced the next generation of its cloud-based machine learning (ML) development platform SageMaker, transforming it a unified hub that allows enterprises to bring together not only all their data assets — spanning across different data lakes and sources in the lakehouse architecture — but also a comprehensive set of AWS ecosystem analytics and formerly disparate ML tools. For instance, with Bedrock capabilities in the SageMaker Studio, users can connect their preferred high-performing foundation models and tools like Agents, Guardrails and Knowledge Bases with their lakehouse data assets to quickly build and deploy gen AI applications. “SageMaker offerings underscore AWS’ strategy of exposing its advanced, comprehensive capabilities in a governed and unified way, so it is quick to build, test and consume ML and AI workloads.
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