AWS Machine Learning Blog

APRIL 7, 2023

To reduce the barrier to entry of ML at the edge, we wanted to demonstrate an example of deploying a pre-trained model from Amazon SageMaker to AWS Wavelength , all in less than 100 lines of code. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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AWS Machine Learning Blog

JUNE 5, 2025

Prerequisites To implement the solution, complete the following prerequisite steps: Have an active AWS account. Create an AWS Identity and Access Management (IAM) role for the Lambda function to access Amazon Bedrock and documents from Amazon S3. For instructions, refer to Create a role to delegate permissions to an AWS service.

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Pickl AI

MARCH 11, 2025

Summary: Big Data and Cloud Computing are essential for modern businesses. Big Data analyses massive datasets for insights, while Cloud Computing provides scalable storage and computing power. Thats where big data and cloud computing come in. The Cloud Computing market is growing rapidly.

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Flipboard

APRIL 16, 2025

Solution overview The AI-powered asset inventory labeling solution aims to streamline the process of updating inventory databases by automatically extracting relevant information from asset labels through computer vision and generative AI capabilities. LLMs are large deep learning models that are pre-trained on vast amounts of data.

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Smart Data Collective

NOVEMBER 15, 2022

When you want to access your file, you simply log in to your cloud storage account and download it to your computer. The main advantage of using cloud storage is that you can access your files from anywhere. Types of Cloud Computing. Take Advantage of the Many Benefits of Cloud Computing.

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AWS Machine Learning Blog

DECEMBER 13, 2023

The built-in project templates provided by Amazon SageMaker include integration with some of third-party tools, such as Jenkins for orchestration and GitHub for source control, and several utilize AWS native CI/CD tools such as AWS CodeCommit , AWS CodePipeline , and AWS CodeBuild. An AWS account.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

Prerequisites To implement this solution, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies. Basic familiarity with SageMaker and AWS services that support LLMs. For more information, see Overview of access management: Permissions and policies.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

The Amazon Kendra AEM connector can integrate with AWS IAM Identity Center (Successor to AWS Single Sign-On). Prerequisites To try out the Amazon Kendra connector for AEM using this post as a reference, you need the following: An AWS account with privileges to create AWS Identity and Access Management (IAM) roles and policies.

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AWS Machine Learning Blog

OCTOBER 17, 2024

The transcription output from Amazon Transcribe is then passed to Anthropic’s Claude 3 Haiku model on Amazon Bedrock through AWS Lambda. Deployment, as described below, is currently supported only in the US West (Oregon) us-west-2 AWS Region. This model was chosen because it has relatively lower latency and cost than other models.

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AWS Machine Learning Blog

JULY 17, 2023

With cloud computing, as compute power and data became more available, machine learning (ML) is now making an impact across every industry and is a core part of every business and industry. Amazon Redshift is a fully managed, fast, secure, and scalable cloud data warehouse.

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The MLOps Blog

MARCH 23, 2023

Users cannot download such large scaled models on their systems just to translate or summarise a given text. Likewise, according to AWS , inference accounts for 90% of machine learning demand in the cloud. Cloud computing services are flexible and can scale according to your requirements.

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AWS Machine Learning Blog

FEBRUARY 15, 2024

With the use of cloud computing, big data and machine learning (ML) tools like Amazon Athena or Amazon SageMaker have become available and useable by anyone without much effort in creation and maintenance. This code typically runs inside an AWS Lambda function. The sample data used is available for download as a CSV.

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Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing. Download Best Practice 1. Read our ebook to learn more.

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Smart Data Collective

FEBRUARY 10, 2022

Netflix uses AWS cloud services for optimizing almost all of its services. The cloud services provided through AWS help with everything from video transcribing, analytics, data storage and much more. Many people want to watch their favorite sports programs through these cloud streaming services.

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phData

NOVEMBER 1, 2023

The Snowflake Data Cloud offers a scalable, cloud-native data warehouse that provides the flexibility, performance, and ease of use needed to meet the demands of modern businesses. Cloud computing resources come with a price tag, and without proper cost management, you might find your cloud expenses spiraling out of control.

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phData

MAY 25, 2023

Just click this button and fill out the form to download it. However, Snowflake runs better on Azure than it does on AWS – so even though it’s not the ideal situation, Microsoft still sees Azure consumption when organizations host Snowflake on Azure. Table of Contents Why Discuss Snowflake & Power BI?

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The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

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AWS Machine Learning Blog

AUGUST 14, 2023

Researchers can download, run, and study BLOOM to investigate the performance and behavior of recently developed LLMs down to their deepest internal operations. These attributes are only default values; you can override them and retain granular control over the AWS models you create. Note that deploying this model requires a p4de.24xlarge

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Solution overview The chess demo uses a broad spectrum of AWS services to create an interactive and engaging gaming experience. On the frontend, AWS Amplify hosts a responsive React TypeScript application while providing secure user authentication through Amazon Cognito using the Amplify SDK. The demo offers a few gameplay options.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

Transcribe audio with Amazon Transcribe In this case, we use an AWS re:Invent 2023 technical talk as a sample. For the purpose of this notebook, we downloaded the MP4 file for the recording and stored it in an Amazon Simple Storage Service (Amazon S3) bucket. billion, which was $3.3 billion above the high end of their guidance range.

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AWS Machine Learning Blog

NOVEMBER 18, 2024

MSD collaborated with AWS Generative Innovation Center (GenAIIC) to implement a powerful text-to-SQL generative AI solution that streamlines data extraction from complex healthcare databases. In our case, we create a local SQLite database by first downloading it from the source site. For simplicity, we use only data from Sample 1.

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