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

Favorite 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

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Shared by AWS Machine Learning August 7, 2025

How Handmade.com modernizes product image and description handling with Amazon Bedrock and Amazon OpenSearch Service

Favorite Handmade.com is a leading hand-crafts product marketplace, offering unique, seller-contributed items to customers around the world. With over 60,000 products in the catalog and some percentage of listings containing basic descriptions that could be improved for better search and search engine optimization (SEO) performance, the need for automation became

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Shared by AWS Machine Learning August 5, 2025

Cost tracking multi-tenant model inference on Amazon Bedrock

Favorite Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants,

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Shared by AWS Machine Learning August 5, 2025

Cost tracking multi-tenant model inference on Amazon Bedrock

Favorite Organizations serving multiple tenants through AI applications face a common challenge: how to track, analyze, and optimize model usage across different customer segments. Although Amazon Bedrock provides powerful foundation models (FMs) through its Converse API, the true business value emerges when you can connect model interactions to specific tenants,

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Shared by AWS Machine Learning August 5, 2025

Containerize legacy Spring Boot application using Amazon Q Developer CLI and MCP server

Favorite Organizations can optimize their migration and modernization projects by streamlining the containerization process for legacy applications. With the right tools and approaches, teams can transform traditional applications into containerized solutions efficiently, reducing the time spent on manual coding, testing, and debugging while enhancing developer productivity and accelerating time-to-market. During

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Shared by AWS Machine Learning August 2, 2025