CIO

JUNE 28, 2023

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. AppFabric, which is available across AWS’ US East (N.

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AWS Machine Learning - AI

DECEMBER 2, 2024

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. The implementation of Container Caching for running Llama3.1

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AWS Machine Learning - AI

JANUARY 29, 2025

Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. In this post, we evaluate different generative AI operating model architectures that could be adopted.

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AWS Machine Learning - AI

OCTOBER 16, 2024

To evaluate the transcription accuracy quality, the team compared the results against ground truth subtitles on a large test set, using the following metrics: Word error rate (WER) – This metric measures the percentage of words that are incorrectly transcribed compared to the ground truth. A lower MER signifies better accuracy.

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AWS Machine Learning - AI

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. The new Mozart companion is built using Amazon Bedrock. In the future, Verisk intends to use the Amazon Titan Embeddings V2 model.

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AWS Machine Learning - AI

MARCH 20, 2025

Asure anticipated that generative AI could aid contact center leaders to understand their teams support performance, identify gaps and pain points in their products, and recognize the most effective strategies for training customer support representatives using call transcripts. Yasmine Rodriguez, CTO of Asure.

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AWS Machine Learning - AI

APRIL 10, 2025

Solution overview To evaluate the effectiveness of RAG compared to model customization, we designed a comprehensive testing framework using a set of AWS-specific questions. Our study used Amazon Nova Micro and Amazon Nova Lite as baseline FMs and tested their performance across different configurations. To do so, we create a knowledge base.

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AWS Machine Learning - AI

MARCH 5, 2025

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

In the context of generative AI , significant progress has been made in developing multimodal embedding models that can embed various data modalities—such as text, image, video, and audio data—into a shared vector space. The AWS Command Line Interface (AWS CLI) installed on your machine to upload the dataset to Amazon S3.

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AWS Machine Learning - AI

NOVEMBER 15, 2024

The rapid advancement of generative AI promises transformative innovation, yet it also presents significant challenges. Concerns about legal implications, accuracy of AI-generated outputs, data privacy, and broader societal impacts have underscored the importance of responsible AI development.

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AWS Machine Learning - AI

JANUARY 29, 2025

Open foundation models (FMs) have become a cornerstone of generative AI innovation, enabling organizations to build and customize AI applications while maintaining control over their costs and deployment strategies. Prerequisites You should have the following prerequisites: An AWS account with access to Amazon Bedrock.

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CIO

MAY 1, 2024

Is generative AI so important that you need to buy customized keyboards or hire a new chief AI officer, or is all the inflated excitement and investment not yet generating much in the way of returns for organizations? Is gen AI failing? Productivity improvements can be much lower initially, though.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

AWS Trainium and AWS Inferentia based instances, combined with Amazon Elastic Kubernetes Service (Amazon EKS), provide a performant and low cost framework to run LLMs efficiently in a containerized environment. Adjust the following configuration to suit your needs, such as the Amazon EKS version, cluster name, and AWS Region.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

This is where AWS and generative AI can revolutionize the way we plan and prepare for our next adventure. With the significant developments in the field of generative AI , intelligent applications powered by foundation models (FMs) can help users map out an itinerary through an intuitive natural conversation interface.

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AWS Machine Learning - AI

AUGUST 26, 2024

At AWS, we are transforming our seller and customer journeys by using generative artificial intelligence (AI) across the sales lifecycle. Prospecting, opportunity progression, and customer engagement present exciting opportunities to utilize generative AI, using historical data, to drive efficiency and effectiveness.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level.

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AWS Machine Learning - AI

JANUARY 13, 2025

This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution. Enhancing the capabilities of IDP is the integration of generative AI, which harnesses large language models (LLMs) and generative techniques to understand and generate human-like text.

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AWS Machine Learning - AI

MARCH 13, 2025

We discuss the unique challenges MaestroQA overcame and how they use AWS to build new features, drive customer insights, and improve operational inefficiencies. MaestroQA monitors this setups performance and reliability using Amazon CloudWatch.

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AWS Machine Learning - AI

MARCH 14, 2025

Although automated metrics are fast and cost-effective, they can only evaluate the correctness of an AI response, without capturing other evaluation dimensions or providing explanations of why an answer is problematic. Human evaluation, although thorough, is time-consuming and expensive at scale.

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AWS Machine Learning - AI

NOVEMBER 20, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Artificial Inteligence Applications Knowledge Base Generative AI 102

AWS Machine Learning - AI

APRIL 22, 2024

This post serves as a starting point for any executive seeking to navigate the intersection of generative artificial intelligence (generative AI) and sustainability. A roadmap to generative AI for sustainability In the sections that follow, we provide a roadmap for integrating generative AI into sustainability initiatives 1.

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AWS Machine Learning - AI

OCTOBER 2, 2024

Large enterprises are building strategies to harness the power of generative AI across their organizations. Managing bias, intellectual property, prompt safety, and data integrity are critical considerations when deploying generative AI solutions at scale. We focus on the operational excellence pillar in this post.

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AWS Machine Learning - AI

FEBRUARY 1, 2024

Resilience plays a pivotal role in the development of any workload, and generative AI workloads are no different. There are unique considerations when engineering generative AI workloads through a resilience lens. There are three general types of vector databases: Dedicated SaaS options like Pinecone.

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AWS Machine Learning - AI

MARCH 20, 2025

Gartner predicts that by 2027, 40% of generative AI solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023. The McKinsey 2023 State of AI Report identifies data management as a major obstacle to AI adoption and scaling. For example, a request made in the US stays within Regions in the US.

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AWS Machine Learning - AI

MARCH 3, 2025

Recent advances in generative AI have led to the proliferation of new generation of conversational AI assistants powered by foundation models (FMs). AWS Local Zones are a type of edge infrastructure deployment that places select AWS services close to large population and industry centers.

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AWS Machine Learning - AI

APRIL 10, 2025

To assess system reliability, engineering teams often rely on key metrics such as mean time between failures (MTBF), which measures the average operational time between hardware failures and serves as a valuable indicator of system robustness.

Training 93

Training Artificial Inteligence Hardware Systems Review 93

AWS Machine Learning - AI

APRIL 9, 2025

Amazon Q Business offers a unique opportunity to enhance workforce efficiency by providing AI-powered assistance that can significantly reduce the time spent searching for information, generating content, and completing routine tasks. In this post, we explore Amazon Q Business Insights capabilities and its importance for organizations.

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AWS Machine Learning - AI

AUGUST 26, 2024

The rise of foundation models (FMs), and the fascinating world of generative AI that we live in, is incredibly exciting and opens doors to imagine and build what wasn’t previously possible. Users can input audio, video, or text into GenASL, which generates an ASL avatar video that interprets the provided data.

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AWS Machine Learning - AI

NOVEMBER 1, 2024

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. We also provide insights on how to achieve optimal results for different dataset sizes and use cases, backed by experimental data and performance metrics.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

In this post, we illustrate how Vidmob , a creative data company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to uncover meaningful insights at scale within creative data using Amazon Bedrock. Use case overview Vidmob aims to revolutionize its analytics landscape with generative AI.

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AWS Machine Learning - AI

AUGUST 8, 2024

Webex’s focus on delivering inclusive collaboration experiences fuels their innovation, which uses artificial intelligence (AI) and machine learning (ML), to remove the barriers of geography, language, personality, and familiarity with technology. Webex works with the world’s leading business and productivity apps—including AWS.

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Generative AI Artificial Inteligence AWS Machine Learning 111

Capgemini

NOVEMBER 7, 2024

Technology for sustainability: How AWS is influencing a green future Capgemini 7 Nov 2024 Facebook Twitter Linkedin Ever thought about the environmental impact of your IT infrastructure? At AWS re:Invent 2023, we explored the intersection of cloud and sustainability in our podcast episode.

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AWS Machine Learning - AI

APRIL 10, 2025

Today, we are excited to announce that Mistral AI s Pixtral Large foundation model (FM) is generally available in Amazon Bedrock. With this launch, you can now access Mistrals frontier-class multimodal model to build, experiment, and responsibly scale your generative AI ideas on AWS.

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AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock. It is time-consuming but, at the same time, critical.

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AWS Machine Learning - AI

SEPTEMBER 6, 2024

This post focuses on evaluating and interpreting metrics using FMEval for question answering in a generative AI application. FMEval is a comprehensive evaluation suite from Amazon SageMaker Clarify , providing standardized implementations of metrics to assess quality and responsibility.

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Generative AI Metrics Artificial Inteligence Systems Review 83

AWS Machine Learning - AI

AUGUST 15, 2024

QnABot on AWS (an AWS Solution) now provides access to Amazon Bedrock foundational models (FMs) and Knowledge Bases for Amazon Bedrock , a fully managed end-to-end Retrieval Augmented Generation (RAG) workflow. In turn, customers can ask a variety of questions and receive accurate answers powered by generative AI.

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AWS Machine Learning - AI

MARCH 11, 2025

The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving. OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics?

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