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Use AWS PrivateLink to set up private access to Amazon Bedrock

AWS Machine Learning

On the JSON tab, modify the policy as follows: { "Version": "2012-10-17", "Statement": [ { "Sid": "eniperms", "Effect": "Allow", "Action": [ "ec2:CreateNetworkInterface", "ec2:DescribeNetworkInterfaces", "ec2:DeleteNetworkInterface", "ec2:*VpcEndpoint*" ], "Resource": "*" } ] } Choose Next. You’re redirected to the IAM console. With an M.Sc.

APIs 122
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Contact Center Trends 2021: The CX Watershed

Fonolo

Consumers want a place to give quick feedback, vent, and interact with their favorite brands. Seven hundred twenty-two million smartphones were shipped in 2012, bringing the worldwide installed base to 1 billion. Big Data is Getting Bigger. IDC predicts that the market for Big Data will reach $16.1

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Secure Amazon SageMaker Studio presigned URLs Part 2: Private API with JWT authentication

AWS Machine Learning

Above solution created the following Auth Policy for the Lambda that generated Pre-Signed URL for accessing SageMaker Studio. { "Version": "2012-10-17", "Statement": [ { "Condition": { "IpAddress": { "aws:VpcSourceIp": "10.16.0.0/16" Pre-Signed URL Lambda Auth Policy. About the Authors.

APIs 79
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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning

We encourage you try out the new model card sharing feature and let us know your feedback. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. About the authors Vishal Naik is a Sr.

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Onboard users to Amazon SageMaker Studio with Active Directory group-specific IAM roles

AWS Machine Learning

If you’re looking for a scalable solution to automate your user onboarding, try this solution, and leave you feedback below! He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes.

APIs 69
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Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning

We encourage you try out the new model card sharing feature and let us know your feedback. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. About the authors Vishal Naik is a Sr.

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Team and user management with Amazon SageMaker and AWS SSO

AWS Machine Learning

Implement scalable data and resource access management with attribute-based access control (ABAC). If you have any feedback or questions, please leave them in the comments. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering. applications. Further reading.