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Highlights from the AWS New York Summit: Providing everyone with GenAI tools for quick, secure and personalized app development and deployment.

Amazon Bedrock, Amazon Q, Amazon SageMaker, Artificial Intelligence, Generative AI, Thought Leadership, UncategorizedJuly 11, 202460Views0Likes0Comments
Generative AI is revolutionizing work environments, promoting innovation and enhancing app user experiences. To actualize its benefits, businesses must invest in generative AI stacks that can scale to their needs, ensuring robust infrastructure and data protection. Amazon has played a key role here, with twice as many generative and machine learning features introduced compared to…

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Improve throughput by almost 2 times and decrease expenses by about 50% for generative AI inference on Amazon SageMaker using the innovative inference optimization toolkit – Segment 1.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, UncategorizedJuly 10, 202460Views0Likes0Comments
Amazon SageMaker has released a new inference optimization toolkit, which significantly shortens the time it takes to enhance generative artificial intelligence (AI) models. The toolkit offers several optimization techniques that can be applied to AI models and validated in just a few simple steps, ultimately reducing costs and boosting performance. It uses methods such as…

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With the new inference optimization toolkit – part 2, increase your generative AI inference’s efficiency by up to 2 times on Amazon SageMaker while cutting down the expenses by almost 50%.

Amazon SageMaker, Amazon SageMaker JumpStart, Announcements, Artificial Intelligence, Generative AI, UncategorizedJuly 10, 202455Views0Likes0Comments
Amazon has launched an inference optimization toolkit as a feature of Amazon SageMaker to help speed up generative artificial intelligence (AI) operations. This tool allows businesses to balance cost-effectiveness and productivity with the use of various optimization techniques. It offers up to twice the throughput and reduces costs by up to 50% for AI models…

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The Weather Company improves MLOps through the use of Amazon SageMaker, AWS CloudFormation, and Amazon CloudWatch.

Amazon CloudWatch, Amazon SageMaker, Amazon Simple Storage Service (S3), AWS CloudFormation, AWS CloudTrail, AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Service Catalog, Customer Solutions, Storage, UncategorizedJuly 9, 202474Views0Likes0Comments
The Weather Company (TWCo) needed a robust Machine Learning Operations (MLOps) platform to support their growing data science team, and to create predictive, privacy-friendly machine learning (ML) models. The existing cloud environment lacked transparency for ML jobs and monitoring, making collaboration challenging. TWCo partnered with AWS Machine Learning Solutions Lab (MLSL) to enhance its MLOps…

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Determine inactive endpoints in Amazon SageMaker

Amazon CloudWatch, Amazon Machine Learning, Amazon SageMaker, Artificial Intelligence, AWS Cloud Financial Management, Best Practices, UncategorizedJuly 2, 202468Views0Likes0Comments
Amazon's SageMaker is a machine learning (ML) platform offering a comprehensive toolkit for building, deploying, and managing ML models at scale. This platform optimizes the development and deployment process of ML solutions for developers and data scientists. AWS aids in this innovation by providing services that simplify infrastructure management tasks such as provisioning, scaling, and resource…

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Utilize AWS PrivateLink to access Amazon services in Amazon SageMaker.

Advanced (300), Amazon SageMaker, Amazon VPC, AWS PrivateLink, Best Practices, Security, UncategorizedJune 21, 202468Views0Likes0Comments
When working with AI development, AWS customers often need to restrict outbound and inbound internet traffic due to the sensitive data they work with. Transmitting data across the internet is typically not secure enough for highly sensitive data; hence, accessing AWS services without leaving the AWS network can enhance security. AWS users can enhance the…

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Leverage meteorological information to enhance predictions using Amazon SageMaker Canvas.

Amazon SageMaker, Amazon SageMaker Autopilot, Amazon SageMaker Canvas, Amazon SageMaker Data Wrangler, Artificial Intelligence, Intermediate (200), UncategorizedJune 13, 202481Views0Likes0Comments
Time series forecasting is a vital tool for organizations looking to make informed planning decisions. Amazon has a long history of using this approach, and has now integrated its advanced forecasting offerings with modern machine learning (ML) algorithms in its no-code workspace, Amazon SageMaker Canvas. The platform allows data preparation using natural language, the building…

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