AWS Machine Learning Blog

JULY 8, 2024

Eviden is an AWS Premier partner , bringing together 47,000 world-class talents and expanding the possibilities of data and technology across the digital continuum, now and for generations to come. We complement individual learning with hands-on opportunities, including Immersion Days , Gamedays , and using AWS DeepRacer.

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AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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AWS Machine Learning Blog

OCTOBER 21, 2024

Amazon Bedrock offers a serverless experience, so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The import job can be invoked using the AWS Management Console or through APIs. Service access role.

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AWS Machine Learning Blog

FEBRUARY 25, 2025

This post shows how to configure an Amazon Q Business custom connector and derive insights by creating a generative AI-powered conversation experience on AWS using Amazon Q Business while using access control lists (ACLs) to restrict access to documents based on user permissions.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

What Zeta has accomplished in AI/ML In the fast-evolving landscape of digital marketing, Zeta Global stands out with its groundbreaking advancements in artificial intelligence. As an early adopter of large language model (LLM) technology, Zeta released Email Subject Line Generation in 2021.

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AWS Machine Learning Blog

DECEMBER 4, 2023

In this post, we explain how we built an end-to-end product category prediction pipeline to help commercial teams by using Amazon SageMaker and AWS Batch , reducing model training duration by 90%. An important aspect of our strategy has been the use of SageMaker and AWS Batch to refine pre-trained BERT models for seven different languages.

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AWS Machine Learning Blog

APRIL 7, 2025

Virginia) AWS Region. Prerequisites To try the Llama 4 models in SageMaker JumpStart, you need the following prerequisites: An AWS account that will contain all your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker AI. The example extracts and contextualizes the buildspec-1-10-2.yml

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Founded in 2021, ThirdAI Corp. In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. Instance types For our evaluation, we considered two comparable AWS CPU instances: a c6i.8xlarge 8xlarge powered by AWS Graviton3.

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AWS Machine Learning Blog

DECEMBER 7, 2023

In this post, we describe the end-to-end workforce management system that begins with location-specific demand forecast, followed by courier workforce planning and shift assignment using Amazon Forecast and AWS Step Functions. AWS Step Functions automatically initiate and monitor these workflows by simplifying error handling.

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O'Reilly Media

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. The top certification was for AWS (3.9% Salaries were lower regardless of education or job title.

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Flipboard

APRIL 17, 2025

This post is a joint collaboration between Salesforce and AWS and is being cross-published on both the Salesforce Engineering Blog and the AWS Machine Learning Blog. The Salesforce AI Model Serving team is working to push the boundaries of natural language processing and AI capabilities for enterprise applications.

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AWS Machine Learning Blog

DECEMBER 12, 2023

In this post, we’ll summarize training procedure of GPT NeoX on AWS Trainium , a purpose-built machine learning (ML) accelerator optimized for deep learning training. M tokens/$) trained such models with AWS Trainium without losing any model quality. We’ll outline how we cost-effectively (3.2 billion in Pythia. 2048 256 10.4

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Flipboard

DECEMBER 18, 2024

Amazon OpenSearch Service Amazon OpenSearch Service is a fully managed service that simplifies the deployment, operation, and scaling of OpenSearch in the AWS Cloud to provide powerful search and analytics capabilities. Teams can use OpenSearch Service ML connectors which facilitate access to models hosted on third-party ML platforms.

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AWS Machine Learning Blog

MARCH 1, 2023

Statistical methods and machine learning (ML) methods are actively developed and adopted to maximize the LTV. In this post, we share how Kakao Games and the Amazon Machine Learning Solutions Lab teamed up to build a scalable and reliable LTV prediction solution by using AWS data and ML services such as AWS Glue and Amazon SageMaker.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. The tools are typically used by data scientists and ML developers from experimentation to production deployment of AI and ML solutions. AWS position.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

By harnessing the power of threat intelligence, machine learning (ML), and artificial intelligence (AI), Sophos delivers a comprehensive range of advanced products and services. The Sophos Artificial Intelligence (AI) group (SophosAI) oversees the development and maintenance of Sophos’s major ML security technology.

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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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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites.

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Tableau

MAY 27, 2021

May 27, 2021 - 2:29pm. May 27, 2021. Dylan Tong, Global Segment Lead Architect, AI Augmented Analytics, AWS. At this critical inflection point, they need guidance on how to improve and strengthen AI and machine learning (ML). This solution is available as an AWS Quickstart to help you deploy quickly and easily.

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AWS Machine Learning Blog

OCTOBER 9, 2024

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

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AWS Machine Learning Blog

SEPTEMBER 23, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without writing any code. This is crucial for compliance, security, and governance.

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AWS Machine Learning Blog

MARCH 30, 2023

Since Steffen Baumgart took over as coach at FC Köln in 2021, the team has managed to lift themselves from the bottom and has established a steady position in the middle of the table. The new Bundesliga Match Fact is the result of an in-depth analysis by a team of football experts and data scientists from the Bundesliga and AWS.

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AWS Machine Learning Blog

NOVEMBER 26, 2024

We also ask it to extend the table until 2025, and because the data is only until 2021, the model will have to extrapolate the values. About the Authors Mithil Shah is a Principal AI/ML Solution Architect at Amazon Web Services. He helps commercial and public sector customers use AI/ML to achieve their business outcome.

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AWS Machine Learning Blog

FEBRUARY 6, 2024

In 2021, the pharmaceutical industry generated $550 billion in US revenue. In this post, we show how to develop an ML-driven solution using Amazon SageMaker for detecting adverse events using the publicly available Adverse Drug Reaction Dataset on Hugging Face. We implemented the solution using the AWS Cloud Development Kit (AWS CDK).

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AWS Machine Learning Blog

DECEMBER 12, 2023

The launch of ChatGPT and rise in popularity of generative AI have captured the imagination of customers who are curious about how they can use this technology to create new products and services on AWS, such as enterprise chatbots, which are more conversational. Optionally, deploy the application using AWS Amplify.

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AWS Machine Learning Blog

NOVEMBER 13, 2023

At a basic level, Machine Learning (ML) technology learns from data to make predictions. Businesses use their data with an ML-powered personalization service to elevate their customer experience. Amazon Personalize enables developers to quickly implement a customized personalization engine, without requiring ML expertise.

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AWS Machine Learning Blog

MAY 22, 2024

Using machine learning (ML) and natural language processing (NLP) to automate product description generation has the potential to save manual effort and transform the way ecommerce platforms operate. For details, see Creating an AWS account. Note: Be sure to set up your AWS Command Line Interface (AWS CLI) credentials correctly.

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AWS Machine Learning Blog

OCTOBER 10, 2023

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service that allows business analysts and citizen data scientists to use ready-to-use machine learning (ML) models and build custom ML models to generate accurate predictions without the need to write any code.

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AWS Machine Learning Blog

MAY 30, 2023

Cost optimization is one of the pillars of the AWS Well-Architected Framework , and it’s a continual process of refinement and improvement over the span of a workload’s lifecycle. AWS is dedicated to helping you achieve the highest savings by offering extensive service and pricing options.

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AWS Machine Learning Blog

SEPTEMBER 25, 2024

After the documents are successfully copied to the S3 bucket, the event automatically invokes an AWS Lambda The Lambda function invokes the Amazon Bedrock knowledge base API to extract embeddings—essential data representations—from the uploaded documents. Choose the AWS Region where you want to create the bucket. Choose Create bucket.

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AWS Machine Learning Blog

APRIL 9, 2024

In the following sections, we explain how you can use these features with either the AWS Management Console or SDK. We ask “What was the Amazon’s revenue in 2019 and 2021?” For this example, the query is “What was the Amazon’s revenue in 2019 and 2021?” Suyin Wang is an AI/ML Specialist Solutions Architect at AWS.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

Launched in 2021, Amazon SageMaker Canvas is a visual, point-and-click service for building and deploying machine learning (ML) models without the need to write any code. About the authors Davide Gallitelli is a Senior Specialist Solutions Architect for AI/ML.

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AWS Machine Learning Blog

SEPTEMBER 12, 2024

SageMaker JumpStart SageMaker JumpStart is a powerful feature within the Amazon SageMaker ML platform that provides ML practitioners a comprehensive hub of publicly available and proprietary foundation models. Basic familiarity with SageMaker and AWS services that support LLMs. The Jupyter Notebooks needs ml.t3.medium.

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Flipboard

FEBRUARY 28, 2025

This post explores the architectural design and security concepts employed by Radboud University Medical Center Nijmegen (Radboudumc) to build a secure artificial intelligence (AI) runtime environment on Amazon Web Services (AWS).

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AWS Machine Learning Blog

OCTOBER 26, 2023

Enterprises seek to harness the potential of Machine Learning (ML) to solve complex problems and improve outcomes. Until recently, building and deploying ML models required deep levels of technical and coding skills, including tuning ML models and maintaining operational pipelines.

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AWS Machine Learning Blog

SEPTEMBER 9, 2024

Because Amazon Bedrock is serverless, you don’t have to manage infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you’re already familiar with. He helps them design innovative, resilient, and cost-effective solutions using AWS services.

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AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support offering. Since its introduction, we have helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage.

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