Amazon Sagemaker: Your All-in-One Data and AI Platform
Streamline data-driven innovation with the next generation of Amazon SageMaker, simplifying complex app development across teams and technologies.
Lydia Ray
Amazon Employee
Published Feb 13, 2025
In this show, we explored the next generation of Amazon SageMaker, a revolutionary platform designed to unify data, analytics, and AI workflows. The discussion highlighted how SageMaker Unified Studio enables seamless collaboration across different data personas - from SQL developers and data engineers to machine learning scientists and generative AI developers. By integrating various AWS services like Bedrock, Athena, Redshift, and EMR into a single environment, the platform dramatically simplifies data exploration, processing, model development, and application creation. The demo showcased how users can effortlessly query data, develop machine learning models, and create generative AI applications without switching between multiple tools and interfaces.
Key Highlights:
- Next-Generation SageMaker Unified Studio provides a comprehensive, integrated workspace for data professionals.
- Supports multiple data personas: SQL developers, data engineers, data scientists, and AI developers.
- Seamless access to various AWS services like Bedrock, Athena, Redshift, and EMR • No-code and code-based machine learning model development options.
- Easy generative AI application creation with foundation model access • Simplified data governance and access management.
- Unified platform reduces friction between data handling and development services • Supports enterprise-scale data operations and AI development.
Hosts of the show 🎤
Lydia Ray - Sr Analytics Solutions Architect @ AWS
Guest 🎤
Rajakumar Sampathkumar - Principal Technical Account Manager @ AWS
Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.