Get faster and actionable AWS Trusted Advisor insights to make data-driven decisions using Amazon Q Business

Favorite Our customers’ key strategic objectives are cost savings and building secure and resilient infrastructure. At AWS, we’re dedicated to helping you meet these critical goals with our unparalleled expertise and industry-leading tools. One of the most valuable resources we offer is the AWS Trusted Advisor detailed report, which provides

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Shared by AWS Machine Learning May 3, 2025

Build a gen AI–powered financial assistant with Amazon Bedrock multi-agent collaboration

Favorite The Amazon Bedrock multi-agent collaboration feature gives developers the flexibility to create and coordinate multiple AI agents, each specialized for specific tasks, to work together efficiently on complex business processes. This enables seamless handling of sophisticated workflows through agent cooperation. This post aims to demonstrate the application of multiple

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Shared by AWS Machine Learning May 3, 2025

Autonomous mortgage processing using Amazon Bedrock Data Automation and Amazon Bedrock Agents

Favorite Mortgage processing is a complex, document-heavy workflow that demands accuracy, efficiency, and compliance. Traditional mortgage operations rely on manual review, rule-based automation, and disparate systems, often leading to delays, errors, and a poor customer experience. Recent industry surveys indicate that only about half of borrowers express satisfaction with the

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Shared by AWS Machine Learning May 2, 2025

Automate document translation and standardization with Amazon Bedrock and Amazon Translate

Favorite Multinational organizations face the complex challenge of effectively managing a workforce and operations across different countries, cultures, and languages. Maintaining consistency and alignment across these global operations can be difficult, especially when it comes to updating and sharing business documents and processes. Delays or miscommunications can lead to productivity

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Shared by AWS Machine Learning May 2, 2025

Best practices for Meta Llama 3.2 multimodal fine-tuning on Amazon Bedrock

Favorite Multimodal fine-tuning represents a powerful approach for customizing foundation models (FMs) to excel at specific tasks that involve both visual and textual information. Although base multimodal models offer impressive general capabilities, they often fall short when faced with specialized visual tasks, domain-specific content, or particular output formatting requirements. Fine-tuning

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Shared by AWS Machine Learning May 2, 2025

Insights in implementing production-ready solutions with generative AI

Favorite As generative AI revolutionizes industries, organizations are eager to harness its potential. However, the journey from production-ready solutions to full-scale implementation can present distinct operational and technical considerations. This post explores key insights and lessons learned from AWS customers in Europe, Middle East, and Africa (EMEA) who have successfully

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Shared by AWS Machine Learning May 1, 2025

FloQast builds an AI-powered accounting transformation solution with Anthropic’s Claude 3 on Amazon Bedrock

Favorite With the advent of generative AI solutions, a paradigm shift is underway across industries, driven by organizations embracing foundation models (FMs) to unlock unprecedented opportunities. Amazon Bedrock has emerged as the preferred choice for numerous customers seeking to innovate and launch generative AI applications, leading to an exponential surge

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Shared by AWS Machine Learning May 1, 2025

Build public-facing generative AI applications using Amazon Q Business for anonymous users

Favorite Amazon Q Business is a generative AI-powered assistant that answers question, provides summaries, generates content, and securely completes tasks based on enterprise data and information. It connects to company data sources, applications, and internal systems to provide relevant, contextual answers while maintaining organizational security and compliance standards. Today, we’re

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Shared by AWS Machine Learning May 1, 2025