AWS Machine Learning - AI

OCTOBER 29, 2024

This post presents a solution where you can upload a recording of your meeting (a feature available in most modern digital communication services such as Amazon Chime ) to a centralized video insights and summarization engine. Many commercial generative AI solutions available are expensive and require user-based licenses.

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AWS Machine Learning - AI

OCTOBER 29, 2024

Recently, we’ve been witnessing the rapid development and evolution of generative AI applications, with observability and evaluation emerging as critical aspects for developers, data scientists, and stakeholders. In the context of Amazon Bedrock , observability and evaluation become even more crucial.

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Generative AI Applications AWS Knowledge Base 109

AWS Machine Learning - AI

APRIL 1, 2025

Were excited to announce the open source release of AWS MCP Servers for code assistants a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. This post is the first in a series covering AWS MCP Servers.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

Companies across all industries are harnessing the power of generative AI to address various use cases. Cloud providers have recognized the need to offer model inference through an API call, significantly streamlining the implementation of AI within applications.

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AWS Machine Learning - AI

NOVEMBER 14, 2024

In the rapidly evolving world of generative AI image modeling, prompt engineering has become a crucial skill for developers, designers, and content creators. Understanding the Prompt Structure Prompt engineering is a valuable technique for effectively using generative AI image models.

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AWS Machine Learning - AI

NOVEMBER 13, 2024

A reverse image search engine enables users to upload an image to find related information instead of using text-based queries. Solution overview The solution outlines how to build a reverse image search engine to retrieve similar images based on input image queries.

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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

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

NOVEMBER 12, 2024

In this blog post, we demonstrate prompt engineering techniques to generate accurate and relevant analysis of tabular data using industry-specific language. You may check out additional reference notebooks on aws-samples for how to use Meta’s Llama models hosted on Amazon Bedrock.

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CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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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. The following screenshot shows an example of an interaction with Field Advisor.

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AWS Machine Learning - AI

DECEMBER 24, 2024

Manually managing such complexity can often be counter-productive and take away valuable resources from your businesses AI development. To simplify infrastructure setup and accelerate distributed training, AWS introduced Amazon SageMaker HyperPod in late 2023.

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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. Then we engineer images into a prompt that instructs Anthropics Claude Haiku 3 to analyze them and produce a visual transcript.

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AWS Machine Learning - AI

APRIL 30, 2025

As generative AI revolutionizes industries, organizations are eager to harness its potential. This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully navigated this transition, providing a roadmap for others looking to follow suit.

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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

DECEMBER 11, 2024

In this post, we illustrate how EBSCOlearning partnered with AWS Generative AI Innovation Center (GenAIIC) to use the power of generative AI in revolutionizing their learning assessment process. To get started, contact your AWS account manager. If you dont have an AWS account manager, contact sales.

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Generative AI Artificial Inteligence Guidelines Education 82

CIO

NOVEMBER 1, 2024

As part of MMTech’s unifying strategy, Beswick chose to retire the data centers and form an “enterprisewide architecture organization” with a set of standards and base layers to develop applications and workloads that would run on the cloud, with AWS as the firm’s primary cloud provider.

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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

APRIL 1, 2025

In this post, we show you how to build an Amazon Bedrock agent that uses MCP to access data sources to quickly build generative AI applications. You can accomplish this using two MCP servers: a custom-built MCP server for retrieving the AWS spend data and an open source MCP server from Perplexity AI to interpret the data.

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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. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Scalability Lambda Generative AI AWS 121

CIO

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

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CIO

JUNE 22, 2023

Amazon Web Services (AWS) on Thursday said that it was investing $100 million to start a new program, dubbed the Generative AI Innovation Center, in an effort to help enterprises accelerate the development of generative AI- based applications. Enterprises will also get added support from the AWS Partner Network.

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AWS Machine Learning - AI

APRIL 1, 2025

AWS App Studio is a generative AI-powered service that uses natural language to build business applications, empowering a new set of builders to create applications in minutes. Cross-instance Import and Export Enabling straightforward and self-service migration of App Studio applications across AWS Regions and AWS accounts.

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AWS Machine Learning - AI

NOVEMBER 22, 2024

With Bedrock Flows, you can quickly build and execute complex generative AI workflows without writing code. Key benefits include: Simplified generative AI workflow development with an intuitive visual interface. Reduced time and effort in testing and deploying AI workflows with SDK APIs and serverless infrastructure.

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AWS Machine Learning - AI

NOVEMBER 26, 2024

The use of large language models (LLMs) and generative AI has exploded over the last year. Using vLLM on AWS Trainium and Inferentia makes it possible to host LLMs for high performance inference and scalability. xlarge instances are only available in these AWS Regions. You will use inf2.xlarge top_p=0.95) # Create an LLM.

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AWS Machine Learning - AI

OCTOBER 16, 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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CIO

APRIL 25, 2025

Bank of America will invest $4 billion in AI and related technology innovations this year, but the financial services giants 7-year-old homemade AI agent, Erica, remains a key ROI generator , linchpin for customer and employee experience , and source of great pride today.

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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

JANUARY 13, 2025

Amazon Q Business can increase productivity across diverse teams, including developers, architects, site reliability engineers (SREs), and product managers. Enterprises provide their developers, engineers, and architects with a range of knowledge bases and documents, such as usage guides, wikis, and tools.

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Generative AI AWS Innovation Knowledge Base 101

Capgemini

NOVEMBER 22, 2024

AWS or other providers? The Capgemini-AWS partnership journey Capgemini has spent the last 15 years partnering with AWS to answer these types of questions. Our journey has evolved from basic cloud migrations to cutting-edge AI implementations, earning us recognition as AWS’s Global AI/ML Partner of the Year for 2023.

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CIO

DECEMBER 1, 2023

IT leaders looking for a blueprint for staving off the disruptive threat of generative AI might benefit from a tip from LexisNexis EVP and CTO Jeff Reihl: Be a fast mover in adopting the technology to get ahead of potential disruptors. We use AWS and Azure. But the foray isn’t entirely new. We will pick the optimal LLM.

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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.

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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

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. John Canada, VP of Engineering at Asure.

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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

JULY 6, 2023

While Microsoft, AWS, Google Cloud, and IBM have already released their generative AI offerings, rival Oracle has so far been largely quiet about its own strategy. Trailing other generative AI service offerings?

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AWS Machine Learning - AI

MARCH 4, 2024

Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs). It enables customers to leverage a variety of high-performing FMs, such as the Claude family of models by Anthropic, to build custom generative AI applications.

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