Big Data IDP ML 
MARCH 22, 2023
Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies in machine learning (ML), retail, and data and analytics. You can import data from multiple data sources, such as Amazon Simple Storage Service (Amazon S3), Amazon Athena , Amazon Redshift , Amazon EMR , and Snowflake.
AWS Machine Learning Blog
JUNE 12, 2024
This solution uses an Amazon Cognito user pool as an OAuth-compatible identity provider (IdP), which is required in order to exchange a token with AWS IAM Identity Center and later on interact with the Amazon Q Business APIs. If you already have an OAuth-compatible IdP, you can use it instead of setting an Amazon Cognito user pool.
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AWS Machine Learning Blog
JUNE 19, 2023
Amazon SageMaker Studio is a web-based integrated development environment (IDE) for machine learning (ML) that lets you build, train, debug, deploy, and monitor your ML models. For provisioning Studio in your AWS account and Region, you first need to create an Amazon SageMaker domain—a construct that encapsulates your ML environment.
AWS Machine Learning Blog
APRIL 11, 2023
These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. Rajesh Ramchander is a Senior Data & ML Engineer in Professional Services at AWS.
AWS Machine Learning Blog
OCTOBER 23, 2024
Automate intelligent document processing (IDP) – Agent Creator can extract valuable data from invoices, purchase orders, resumes, insurance claims, loan applications, and other unstructured sources automatically. Observability – Robust mechanisms are in place for handling errors during data processing or model inference.
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