Introducing Amazon SageMaker Unified Studio for Financial Services: Streamlining AI Development and Governance
PorAinvest
lunes, 8 de septiembre de 2025, 2:36 pm ET1 min de lectura
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The new platform integrates features from Amazon SageMaker, Amazon QuickSight, and AWS Glue, among others, providing a streamlined experience for data scientists and analysts. Amazon SageMaker Unified Studio supports various machine learning environments, including Amazon SageMaker Studio, Amazon SageMaker Studio Classic, and Amazon SageMaker Notebook Instances [2].
To facilitate the adoption of Amazon SageMaker Unified Studio in the financial services industry (FSI), AWS has released four publicly available workshops. These workshops are tailored to specific FSI segments: insurance, banking, capital markets, and payments. The workshops aim to help users deploy the platform effectively for business use cases, offering practical guidance and best practices [1].
The launch of Amazon SageMaker Unified Studio marks a significant step forward in AWS's commitment to simplifying and accelerating data and AI development. By providing a unified environment, the platform aims to enhance collaboration, improve efficiency, and drive innovation across various industries.
References:
[1] https://www.apnnews.com/qlik-achieves-aws-generative-ai-competency-expanding-strategic-collaboration-and-enterprise-ai-leadership/
[2] https://docs.aws.amazon.com/sagemaker/latest/dg/machine-learning-environments.html
AWS has announced the general availability of Amazon SageMaker Unified Studio, a single data and AI development environment that brings together tools from existing AWS Analytics and AI/ML services. The platform allows users to discover data and AI assets, work together in projects, and share analytics and AI artifacts in a trusted and secure environment. AWS has also released four publicly available workshops specific to the financial services industry (FSI) - insurance, banking, capital markets, and payments - to help users deploy Amazon SageMaker Unified Studio effectively for business use cases.
AWS has announced the general availability of Amazon SageMaker Unified Studio, a comprehensive data and AI development environment that unifies tools from existing AWS Analytics and AI/ML services. This platform enables users to discover data and AI assets, collaborate on projects, and share analytics and AI artifacts in a secure and trusted environment.The new platform integrates features from Amazon SageMaker, Amazon QuickSight, and AWS Glue, among others, providing a streamlined experience for data scientists and analysts. Amazon SageMaker Unified Studio supports various machine learning environments, including Amazon SageMaker Studio, Amazon SageMaker Studio Classic, and Amazon SageMaker Notebook Instances [2].
To facilitate the adoption of Amazon SageMaker Unified Studio in the financial services industry (FSI), AWS has released four publicly available workshops. These workshops are tailored to specific FSI segments: insurance, banking, capital markets, and payments. The workshops aim to help users deploy the platform effectively for business use cases, offering practical guidance and best practices [1].
The launch of Amazon SageMaker Unified Studio marks a significant step forward in AWS's commitment to simplifying and accelerating data and AI development. By providing a unified environment, the platform aims to enhance collaboration, improve efficiency, and drive innovation across various industries.
References:
[1] https://www.apnnews.com/qlik-achieves-aws-generative-ai-competency-expanding-strategic-collaboration-and-enterprise-ai-leadership/
[2] https://docs.aws.amazon.com/sagemaker/latest/dg/machine-learning-environments.html
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