Accountability APIs Big data Events 
AWS Machine Learning
SEPTEMBER 21, 2022
This post shows how companies can introduce hundreds of employees to ML concepts by easily running AWS DeepRacer events at scale. Run AWS DeepRacer events at scale. Our post-event statistics indicate that up to 75% of all participants to DeepRacer events are new to AI/ML and 50% are new to AWS.”.
AWS Machine Learning
FEBRUARY 13, 2024
SageMaker Feature Store now makes it effortless to share, discover, and access feature groups across AWS accounts. With this launch, account owners can grant access to select feature groups by other accounts using AWS Resource Access Manager (AWS RAM).
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AWS Machine Learning
JUNE 19, 2023
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. When the AD user is assigned to an AD group, an IAM Identity Center API ( CreateGroupMembership ) is invoked, and SSO group membership is created.
AWS Machine Learning
AUGUST 29, 2023
This architecture design represents a multi-account strategy where ML models are built, trained, and registered in a central model registry within a data science development account (which has more controls than a typical application development account).
AWS Machine Learning
JUNE 24, 2022
After the data scientists have proven that ML can solve the business problem and are familiarized with SageMaker experimentation, training, and deployment of models, the next step is to start productionizing the ML solution. In the same account, Amazon SageMaker Feature Store can be hosted, but we don’t cover it this post.
AWS Machine Learning
JANUARY 26, 2024
In addition to awareness, your teams should take action to account for generative AI in governance, assurance, and compliance validation practices. You should begin by extending your existing security, assurance, compliance, and development programs to account for generative AI.
AWS Machine Learning
OCTOBER 27, 2022
After data is loaded to Amazon S3, an S3 event triggers AWS Lambda and invokes AWS Step Functions as an orchestration tool. We use an AWS Glue job to process the data into an S3 bucket. We can then call a Forecast API to create a dataset group and import data from the processed S3 bucket.
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