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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Across accounts, automate deployment using export and import dataset, data source, and analysis API calls provided by QuickSight. About the Authors Stephen Randolph is a Senior Partner Solutions Architect at Amazon Web Services (AWS). Ajay Vishwakarma is an ML engineer for the AWS wing of Wipro’s AI solution practice.

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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

To address this challenge, this post demonstrates a proactive approach for security vulnerability assessment of your accounts and workloads, using Amazon GuardDuty , Amazon Bedrock , and other AWS serverless technologies. By cleaning up the resources created for this solution, you can prevent any ongoing charges to your AWS account.

APIs 87
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Multilingual content processing using Amazon Bedrock and Amazon A2I

AWS Machine Learning

Lastly, install Docker based on your operating system: Mac – Install Docker Desktop on Mac Windows – Install Docker Desktop on Windows Deploy the application to the AWS Cloud This reference solution is available on GitHub, and you can deploy it with the AWS CDK. Make sure to match the work team name in the same AWS Region and account.

APIs 101