Jupyter on AWS customers

Rather than creating many manual processes, we can automate most of the ML development process simply within Amazon SageMaker Studio

With Amazon SageMaker Studio, we’re now able to co-locate data science tasks. This allows us to save time managing infrastructure and repositories and helps us reduce the time to deploy algorithms and analytics projects into production.

SageMaker helps our researchers easily compare thousands of experiment settings; they are able to do with a single step what previously consumed hours of our researchers’ time.

We’re excited that our Vanguard data scientists and data engineers can now collaborate in a single notebook for analytics and machine learning. Now that Amazon SageMaker Studio has built-in integrations with Spark, Hive, and Presto all running on Amazon EMR, our development teams can be more productive. This single development environment will allow our teams to focus on building, training, and deploying machine learning models.

We have been waiting for a feature to create and manage Amazon EMR clusters directly from Amazon SageMaker Studio so that our customers could run Spark, Hive, and Presto workflows directly from Amazon SageMaker Studio notebooks. We are excited that Amazon SageMaker has now natively built this capability to simplify management of Spark and machine learning jobs. This will help our customers’ data engineers and data scientists collaborate more effectively to perform interactive data analysis and develop machine learning pipelines with EMR-based data transformations.

We’re unleashing the power of data to transform the world of consumer, self-employed, and small business finances on our platform. To further improve team efficiencies for getting AI-driven products to market with speed, we've worked closely with AWS in designing the new team-based collaboration capabilities of SageMaker Studio Notebooks. We’re excited to streamline communication and collaboration to enable our teams to scale ML development with Amazon SageMaker Studio.