AWS Machine Learning - AI

OCTOBER 31, 2024

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. In the following sections, we explain how to deploy this architecture.

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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

NOVEMBER 6, 2024

In this post, we share how Hearst , one of the nation’s largest global, diversified information, services, and media companies, overcame these challenges by creating a self-service generative AI conversational assistant for business units seeking guidance from their CCoE.

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AWS Machine Learning - AI

MARCH 26, 2025

Generative AI has emerged as a game changer, offering unprecedented opportunities for game designers to push boundaries and create immersive virtual worlds. At the forefront of this revolution is Stability AIs cutting-edge text-to-image AI model, Stable Diffusion 3.5 Large (SD3.5

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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. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

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AWS Machine Learning - AI

MAY 2, 2025

David Copland, from QARC, and Scott Harding, a person living with aphasia, used AWS services to develop WordFinder, a mobile, cloud-based solution that helps individuals with aphasia increase their independence through the use of AWS generative AI technology. The following diagram illustrates the solution architecture on AWS.

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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

MARCH 20, 2025

Generative AI agents offer a powerful solution by automatically interfacing with company systems, executing tasks, and delivering instant insights, helping organizations scale operations without scaling complexity. The following diagram illustrates the generative AI agent solution workflow.

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AWS Machine Learning - AI

JANUARY 22, 2025

However, to describe what is occurring in the video from what can be visually observed, we can harness the image analysis capabilities of generative AI. We explain the end-to-end solution workflow, the prompts needed to produce the transcript and perform security analysis, and provide a deployable solution architecture.

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CIO

DECEMBER 30, 2024

Generative AI has seen faster and more widespread adoption than any other technology today, with many companies already seeing ROI and scaling up use cases into wide adoption. Vendors are adding gen AI across the board to enterprise software products, and AI developers havent been idle this year either.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. For instructions on how to start your Amazon Bedrock batch inference job, refer to Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock.

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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

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. You can access your imported custom models on-demand and without the need to manage underlying infrastructure.

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AWS Machine Learning - AI

APRIL 10, 2025

Model customization refers to adapting a pre-trained language model to better fit specific tasks, domains, or datasets. The following diagram illustrates the solution architecture. For more information, refer to the following GitHub repo , which contains sample code.

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AWS Machine Learning - AI

JANUARY 13, 2025

This post shows how MuleSoft introduced a generative AI -powered assistant using Amazon Q Business to enhance their internal Cloud Central dashboard. For more on MuleSofts journey to cloud computing, refer to Why a Cloud Operating Model? Every organization has unique needs when it comes to AI. Want to take it further?

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CIO

NOVEMBER 7, 2024

We’re not at step one of that journey because, as an insurance company, we have been leveraging AI for many years, but we are thinking about generative AI in the sense of, how do we empower our employees and augment their work to help them have more capacity and for higher, more complex work sets?

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AWS Machine Learning - AI

NOVEMBER 19, 2024

With Amazon Bedrock and other AWS services, you can build a generative AI-based email support solution to streamline email management, enhancing overall customer satisfaction and operational efficiency. AI integration accelerates response times and increases the accuracy and relevance of communications, enhancing customer satisfaction.

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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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AWS Machine Learning - AI

NOVEMBER 6, 2024

Amazon Bedrock streamlines the integration of state-of-the-art generative AI capabilities for developers, offering pre-trained models that can be customized and deployed without the need for extensive model training from scratch. Scattered throughout Foobar are pockets of tropical jungles thriving along rivers and wetlands.

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AWS Machine Learning - AI

MAY 1, 2025

We will deep dive into the MCP architecture later in this post. Developed by Anthropic as an open protocol, the MCP provides a standardized way to connect AI models to virtually any data source or tool. The following diagram illustrates this workflow.

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AWS Machine Learning - AI

APRIL 30, 2025

Amazon Bedrock Model Distillation is generally available, and it addresses the fundamental challenge many organizations face when deploying generative AI : how to maintain high performance while reducing costs and latency. For the most current list of supported models, refer to the Amazon Bedrock documentation.

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Palo Alto Networks

OCTOBER 21, 2024

Powered by Precision AI™ – our proprietary AI system – this solution combines machine learning, deep learning and generative AI to deliver advanced, real-time protection. Generative AI enhances the user experience with a natural language interface, making the system more intuitive and intelligent.

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AWS Machine Learning - AI

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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CIO

FEBRUARY 20, 2024

Governments and public service agencies understand the enormous potential of generative AI. Recent research by McGuire Research Services for Avanade, shows 82% of government employees are using AI on a daily or weekly basis, while 84% of organisations plan to increase their IT investments by up to 24% to take advantage of AI.

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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. This pattern achieves a statically stable architecture, which is a resiliency best practice.

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AWS Machine Learning - AI

JULY 3, 2024

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. Fact-checking and rules evaluation require special coverage and will be discussed in an upcoming post.

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AWS Machine Learning - AI

DECEMBER 11, 2024

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. In just a few weeks, we were able to cut over to Amazon Q and significantly reduce the complexity of our service architecture and operations.

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CIO

DECEMBER 11, 2024

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

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AWS Machine Learning - AI

MARCH 18, 2025

As generative AI adoption accelerates across enterprises, maintaining safe, responsible, and compliant AI interactions has never been more critical. Amazon Bedrock Guardrails provides configurable safeguards that help organizations build generative AI applications with industry-leading safety protections.

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CIO

JANUARY 3, 2025

According to BMC research in partnership with Forbes Insight , more than 80% of IT leaders trust AI output and see a significant role for AI, including but not limited to generative AI outputs. Research respondents believe AI will positively impact IT complexity and improve business outcomes.

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AWS Machine Learning - AI

APRIL 16, 2024

Generative artificial intelligence (AI) is transforming the customer experience in industries across the globe. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.

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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

APRIL 16, 2025

The increased usage of generative AI models has offered tailored experiences with minimal technical expertise, and organizations are increasingly using these powerful models to drive innovation and enhance their services across various domains, from natural language processing (NLP) to content generation.

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AWS Machine Learning - AI

MARCH 3, 2025

Increasingly, organizations across industries are turning to generative AI foundation models (FMs) to enhance their applications. Tuning model architecture requires technical expertise, training and fine-tuning parameters, and managing distributed training infrastructure, among others.

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AWS Machine Learning - AI

JUNE 18, 2024

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Qiong (Jo) Zhang , PhD, is a Senior Partner Solutions Architect at AWS, specializing in AI/ML.

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AWS Machine Learning - AI

AUGUST 8, 2024

By integrating generative AI, they can now analyze call transcripts to better understand customer pain points and improve agent productivity. Additionally, they are using generative AI to extract key call drivers, optimize agent workflows, and gain deeper insights into customer sentiment.

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AWS Machine Learning - AI

OCTOBER 17, 2024

With the advent of generative AI and machine learning, new opportunities for enhancement became available for different industries and processes. AWS HealthScribe combines speech recognition and generative AI trained specifically for healthcare documentation to accelerate clinical documentation and enhance the consultation experience.

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