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How Amazon Bedrock powers next-generation account planning at AWS

How Amazon Bedrock powers next-generation account planning at AWS

At AWS, our sales teams create customer-focused documents called account plans to deeply understand each AWS customer’s unique goals and challenges, helping account teams provide tailored guidance and support that accelerates customer success on AWS. As our business has expanded, the account planning process has become more intricate, requiring detailed analysis, reviews, and cross-team alignment …

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Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Pioneering AI workflows at scale: A deep dive into Asana AI Studio and Amazon Q index collaboration

Organizations today face a critical challenge: managing an ever-increasing volume of tasks and information across multiple systems. Although traditional task management tools help organize work, they often fall short in delivering the intelligence needed for truly efficient operations. Today, we’re excited to announce the integration of Asana AI Studio with Amazon Q index, bringing generative …

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Responsible AI for the payments industry – Part 1

Responsible AI for the payments industry – Part 1

The payments industry stands at the forefront of digital transformation, with artificial intelligence (AI) rapidly becoming a cornerstone technology that powers a variety of solutions, from fraud detection to customer service. According to the following Number Analytics report, digital payment transactions are projected to exceed $15 trillion globally by 2027. Generative AI has expanded the …

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Responsible AI for the payments industry – Part 2

Responsible AI for the payments industry – Part 2

In Part 1 of our series, we explored the foundational concepts of responsible AI in the payments industry. In this post, we discuss the practical implementation of responsible AI frameworks. The need for responsible AI The implementation of responsible AI is not passive, but a dynamic process of reimagining how technology can serve a customer’s …

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Process multi-page documents with human review using Amazon Bedrock Data Automation and Amazon SageMaker AI

Process multi-page documents with human review using Amazon Bedrock Data Automation and Amazon SageMaker AI

Organizations across industries face challenges with high volumes of multi-page documents that require intelligent processing to extract accurate information. Although automation has improved this process, human expertise is still needed in specific scenarios to verify data accuracy and quality. In March 2025, AWS launched Amazon Bedrock Data Automation, which enables developers to automate the generation …

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Build an AI assistant using Amazon Q Business with Amazon S3 clickable URLs

Build an AI assistant using Amazon Q Business with Amazon S3 clickable URLs

Organizations need user-friendly ways to build AI assistants that can reference enterprise documents while maintaining document security. This post shows how to use Amazon Q Business to create an AI assistant that provides clickable URLs to source documents stored in Amazon Simple Storage Service (Amazon S3), to support secure document access and verification. Amazon Q …

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GPT OSS models from OpenAI are now available on SageMaker JumpStart

GPT OSS models from OpenAI are now available on SageMaker JumpStart

Today, we are excited to announce the availability of Open AI’s new open weight GPT OSS models, gpt-oss-120b and gpt-oss-20b, from OpenAI in Amazon SageMaker JumpStart. With this launch, you can now deploy OpenAI’s newest reasoning models to build, experiment, and responsibly scale your generative AI ideas on AWS. In this post, we demonstrate how …

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