Let’s assume the role of a Data Scientist, you are building an end-to-end ML project which includes data preparation, model training, model hosting, model registry and model sharing with business ...

SageMaker Unified Studio brings together tools from other AWS services, including the existing SageMaker Studio, to help customers discover, prepare, and process data to build models.

The next generation of SageMaker brings together these capabilities — along with some exciting new features — to give customers all the tools they need for data processing, SQL analytics, ML ...

LAS VEGAS, December 03, 2024--At AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), today announced the next generation of Amazon SageMaker, unifying the ...

At re:Invent 2022, the cloud services provider updated its managed machine learning service to include new notebook and governance features.

“The next generation of SageMaker brings together those capabilities, along with some exciting new features, to give customers all the tools they need for data processing, SQL analytics, model ...

Planet is using AWS to better serve its customers who can now benefit from the simplicity and speed of Amazon SageMaker’s new geospatial ML capabilities to build, train, and deploy ML models ...

Sept. 20, 2022 — Salesforce and AWS today announced new integrations between the Salesforce Platform and Amazon SageMaker.The integrations will enable customers to use Amazon SageMaker, AWS’s machine ...

With SageMaker Catalog, built on Amazon DataZone, administrators can define and implement consistent access policies using a single permission model with granular controls, while data workers from ...

With SageMaker Catalog, built on Amazon DataZone, administrators can define and implement consistent access policies using a single permission model with granular controls, while data workers from ...