Dzone - DevOps

APRIL 9, 2025

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action.

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AWS Machine Learning - AI

NOVEMBER 7, 2024

API Gateway is serverless and hence automatically scales with traffic. The advantage of using Application Load Balancer is that it can seamlessly route the request to virtually any managed, serverless or self-hosted component and can also scale well. It’s serverless so you don’t have to manage the infrastructure.

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AWS Machine Learning - AI

MARCH 4, 2025

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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AWS Machine Learning - AI

OCTOBER 29, 2024

This engine uses artificial intelligence (AI) and machine learning (ML) services and generative AI on AWS to extract transcripts, produce a summary, and provide a sentiment for the call. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure. We can also quickly integrate flows with our applications using the SDK APIs for serverless flow execution — without wasting time in deployment and infrastructure management.

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AWS Machine Learning - AI

APRIL 9, 2025

With the Amazon Bedrock serverless experience, 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 architecture of this system is illustrated in the following figure. 70B and 8B.

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AWS Machine Learning - AI

APRIL 23, 2025

Designed with a serverless, cost-optimized architecture, the platform provisions SageMaker endpoints dynamically, providing efficient resource utilization while maintaining scalability. The following diagram illustrates the solution architecture. Key architectural decisions drive both performance and cost optimization.

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O'Reilly Media - Ideas

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

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AWS Machine Learning - AI

OCTOBER 31, 2024

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. In the following sections, we explain how to deploy this architecture.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Cost optimization – This solution uses serverless technologies, making it cost-effective for the observability infrastructure. This post focused is on Amazon Bedrock, but it can be extended to broader machine learning operations (MLOps) workflows or integrated with other AWS services such as AWS Lambda or Amazon SageMaker.

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AWS Machine Learning - AI

JANUARY 22, 2025

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. The following diagram illustrates the solution architecture. The transcript is provided in tags.

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AWS Machine Learning - AI

SEPTEMBER 3, 2024

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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AWS Machine Learning - AI

APRIL 3, 2024

In this post, we show how to build a contextual text and image search engine for product recommendations using the Amazon Titan Multimodal Embeddings model , available in Amazon Bedrock , with Amazon OpenSearch Serverless. Amazon SageMaker Studio – It is an integrated development environment (IDE) for machine learning (ML).

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AWS Machine Learning - AI

NOVEMBER 14, 2024

Architecture The following figure shows the architecture of the solution. Being serverless, it allows secure integration and deployment of generative AI capabilities without managing infrastructure. enabling businesses to leverage advanced technologies like machine learning and deep learning to gain competitive advantages.

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Mentormate

MAY 31, 2023

In this article, we will discuss how MentorMate and our partner eLumen leveraged natural language processing (NLP) and machine learning (ML) for data-driven decision-making to tame the curriculum beast in higher education. The primary data sources used in eLumen Insights are on the left-hand side of the architecture.

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AWS Machine Learning - AI

MARCH 14, 2025

The architecture is complemented by essential supporting services, including AWS Key Management Service (AWS KMS) for security and Amazon CloudWatch for monitoring, creating a resilient, serverless container environment that alleviates the need to manage underlying infrastructure while maintaining robust security and high availability.

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Xebia

AUGUST 17, 2023

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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Palo Alto Networks

OCTOBER 22, 2024

According to the Unit 42 Cloud Threat Report : The rate of cloud migration shows no sign of slowing down—from $370 billion in 2021, with predictions to reach $830 billion in 2025—with many cloud-native applications and architectures already having had time to mature.

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CIO

MAY 8, 2024

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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CIO

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in Alteryx cloud. Free trial. AWS SageMaker.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

In addition, customers are looking for choices to select the most performant and cost-effective machine learning (ML) model and the ability to perform necessary customization (fine-tuning) to fit their business use cases. An OpenSearch Serverless collection. A SageMaker execution role with access to OpenSearch Serverless.

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AWS Machine Learning - AI

FEBRUARY 11, 2025

Solution overview The following architecture diagram represents the high-level design of a solution proven effective in production environments for AWS Support Engineering. The following diagram illustrates an example architecture for ingesting data through an endpoint interfacing with a large corpus.

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AWS Machine Learning - AI

AUGUST 21, 2024

Amazon SageMaker Canvas is a no-code machine learning (ML) service that empowers business analysts and domain experts to build, train, and deploy ML models without writing a single line of code. Athena is a serverless, interactive analytics service that provides a simplified and flexible way to analyze petabytes of data where it lives.

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AWS Machine Learning - AI

OCTOBER 11, 2024

It can be extended to incorporate additional types of operational events—from AWS or non-AWS sources—by following an event-driven architecture (EDA) approach. The solution is designed to be fully serverless on AWS and can be deployed as infrastructure as code (IaC) by usingf the AWS Cloud Development Kit (AWS CDK).

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AWS Machine Learning - AI

APRIL 22, 2025

Seamless live stream acquisition The solution begins with an IP-enabled camera capturing the live event feed, as shown in the following section of the architecture diagram. A serverless, event-driven workflow using Amazon EventBridge and AWS Lambda automates the post-event processing.

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AWS Machine Learning - AI

NOVEMBER 19, 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 following diagram provides a detailed view of the architecture to enhance email support using generative AI.

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AWS Machine Learning - AI

OCTOBER 1, 2024

We explore how to build a fully serverless, voice-based contextual chatbot tailored for individuals who need it. The aim of this post is to provide a comprehensive understanding of how to build a voice-based, contextual chatbot that uses the latest advancements in AI and serverless computing. We discuss this later in the post.

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AWS Machine Learning - AI

MARCH 20, 2025

Amazon Bedrock offers fine-tuning capabilities that allow you to customize these pre-trained models using proprietary call transcript data, facilitating high accuracy and relevance without the need for extensive machine learning (ML) expertise. Architecture The following diagram illustrates the solution architecture.

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AWS Machine Learning - AI

JANUARY 29, 2025

In this post, we evaluate different generative AI operating model architectures that could be adopted. Generative AI architecture components Before diving deeper into the common operating model patterns, this section provides a brief overview of a few components and AWS services used in the featured architectures.

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AWS Machine Learning - AI

APRIL 29, 2025

The following diagram illustrates the solution architecture. For knowledge retrieval, we use Amazon Bedrock Knowledge Bases , which integrates with Amazon Simple Storage Service (Amazon S3) for document storage, and Amazon OpenSearch Serverless for rapid and scalable search capabilities.

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AWS Machine Learning - AI

MARCH 3, 2025

You can also use this model with Amazon SageMaker JumpStart , a machine learning (ML) hub that provides access to algorithms and models that can be deployed with one click for running inference. Mistral developed a novel architecture for Pixtral 12B, optimized for both computational efficiency and performance.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

The popular architecture pattern of Retrieval Augmented Generation (RAG) is often used to augment user query context and responses. In this post, we illustrate contextually enhancing a chatbot by using Knowledge Bases for Amazon Bedrock , a fully managed serverless service.

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AWS Machine Learning - AI

APRIL 30, 2025

Because Amazon Bedrock is serverless, you dont have to manage infrastructure to securely integrate and deploy generative AI capabilities into your application, handle spiky traffic patterns, and enable new features like cross-Region inference, which helps provide scalability and reliability across AWS Regions.

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Because Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with. The following diagram summarizes the solution architecture and key components.

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AWS Machine Learning - AI

MARCH 7, 2025

In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline. The following diagram illustrates the solution architecture. You can create a decoupled architecture with reusable components. Connect with him on LinkedIn.

Generative AI 101

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AWS Machine Learning - AI

MAY 31, 2024

With the Amazon Bedrock serverless experience, you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using the Amazon Web Services (AWS) tools without having to manage infrastructure. The following diagram depicts a high-level RAG architecture.

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AWS Machine Learning - AI

MARCH 13, 2025

MaestroQA integrated Amazon Bedrock into their existing architecture using Amazon Elastic Container Service (Amazon ECS). The following architecture diagram demonstrates the request flow for AskAI. The customer interaction transcripts are stored in an Amazon Simple Storage Service (Amazon S3) bucket.

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