AWS Machine Learning Blog

JANUARY 10, 2024

In this post, we discuss how the AWS AI/ML team collaborated with the Merck Human Health IT MLOps team to build a solution that uses an automated workflow for ML model approval and promotion with human intervention in the middle. A model developer typically starts to work in an individual ML development environment within Amazon SageMaker.

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AWS Machine Learning Blog

NOVEMBER 17, 2023

You can deploy this solution to your AWS account using the AWS Cloud Development Kit (AWS CDK) package available in our GitHub repo. Using the AWS Management Console , you can create a recording configuration and link it to an Amazon IVS channel. In this section, we briefly introduce the system architecture.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud. at a minimum).

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AWS Machine Learning Blog

MARCH 31, 2023

Solution overview To tackle these challenges, the KYTC team reviewed several contact center solutions and collaborated with the AWS ProServe team to implement a cloud-based contact center and a virtual agent named Max. Amazon Lex and the AWS QnABot Amazon Lex is an AWS service for creating conversational interfaces.

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AWS Machine Learning Blog

FEBRUARY 24, 2023

AWS recently released Amazon SageMaker geospatial capabilities to provide you with satellite imagery and geospatial state-of-the-art machine learning (ML) models, reducing barriers for these types of use cases. Applied AI Specialist Architect at AWS. For more information, see Amazon SageMaker geospatial capabilities.

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Towards AI

MARCH 1, 2023

The strategic partnership between Hugging Face and Amazon Web Services (AWS) looks like a positive step in this direction and should increase the availability of open-source data sets and models hosted on Hugging Face. We were also pleased to see the release of Meta’s LLaMA, 4 foundation models ranging from 7B to 65B parameters.

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Data Science 101

AUGUST 31, 2023

We’re just big fans of effortless team collaboration It’s a dev tool designed to enhance distributed software development by providing a collaborative and visual tool for managing complex system architectures. About 10 years ago I began thinking about a platform like this to make working on distributed software easier.

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Flipboard

DECEMBER 6, 2023

needed to address some of these challenges in one of their many AI use cases built on AWS. About the authors Tamer Soliman is a Senior Solutions Architect at AWS. He helps Independent Software Vendor (ISV) customers innovate, build, and scale on AWS. In her free time, she likes to go for long runs along the beach.

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AWS Machine Learning Blog

JANUARY 30, 2023

Create a new AWS Identity and Access Management (IAM) role. Conclusion In this post, we showed you how easy to use how to use Forecast and its underlying system architecture to predict water demand using water consumption data. The steps in this post demonstrated how to build the solution on the AWS Management Console.

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Pickl AI

DECEMBER 10, 2024

The systems architecture combines Oracles hardware expertise with software optimisation to deliver unmatched performance. Market Competition Oracle faces competition from alternative solutions like AWS, Microsoft Azure, and SAP HANA. Core Features Exalytics is engineered for speed and scalability.

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The MLOps Blog

MARCH 12, 2024

Combine this with the serverless BentoCloud or an auto-scaling group on a cloud platform like AWS to ensure your resources match the demand. Caption : RAG system architecture. Vector Database with Milvus: Integrate Milvus , a purpose-built vector database, to manage and retrieve information quickly.

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AWS Machine Learning Blog

AUGUST 15, 2023

The team successfully migrated a subset of self-managed ML models in the image moderation system for nudity and not safe for work (NSFW) content detection to the Amazon Rekognition Detect Moderation API, taking advantage of the highly accurate and comprehensive pre-trained moderation models.

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AWS Machine Learning Blog

MAY 23, 2023

In this post, we start with an overview of MLOps and its benefits, describe a solution to simplify its implementations, and provide details on the architecture. We finish with a case study highlighting the benefits realize by a large AWS and PwC customer who implemented this solution. The following diagram illustrates the workflow.

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Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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AWS Machine Learning Blog

MARCH 5, 2025

In this post, we explain how BMW uses generative AI technology on AWS to help run these digital services with high availability. Moreover, these teams might be geographically dispersed and run their workloads in different locations and regions; many hosted on AWS, some elsewhere.

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AWS Machine Learning Blog

NOVEMBER 12, 2024

This post describes how Agmatix uses Amazon Bedrock and AWS fully featured services to enhance the research process and development of higher-yielding seeds and sustainable molecules for global agriculture. AWS generative AI services provide a solution In addition to other AWS services, Agmatix uses Amazon Bedrock to solve these challenges.

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AWS Machine Learning Blog

MARCH 13, 2025

Agent broker methodology Following an agent broker pattern, the system is still fundamentally event-driven, with actions triggered by the arrival of messages. New agents can be added to handle specific types of messages without changing the overall system architecture.

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AWS Machine Learning Blog

JANUARY 28, 2025

This optimization is available in the US East (Ohio) AWS Region for select FMs, including Anthropics Claude 3.5 In this section, we explore how different system components and architectural decisions impact overall application responsiveness. Rupinder Grewal is a Senior AI/ML Specialist Solutions Architect with AWS.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. The new Automated Reasoning checks safeguard is available today in preview in Amazon Bedrock Guardrails in the US West (Oregon) AWS Region. Happy building!

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