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Harnessing Amazon Bedrock generative AI for resilient supply chain

Favorite From pandemic shutdowns to geopolitical tensions, recent years have thrown our global supply chains into unexpected chaos. This turbulent period has taught both governments and organizations a crucial lesson: supply chain excellence depends not just on efficiency but on the ability to navigate disruptions through strategic risk management. By

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Shared by AWS Machine Learning February 1, 2025

How Aetion is using generative AI and Amazon Bedrock to unlock hidden insights about patient populations

Favorite The real-world data collected and derived from patient journeys offers a wealth of insights into patient characteristics and outcomes and the effectiveness and safety of medical innovations. Researchers ask questions about patient populations in the form of structured queries; however, without the right choice of structured query and deep

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Shared by AWS Machine Learning January 31, 2025

Streamline grant proposal reviews using Amazon Bedrock

Favorite Government and non-profit organizations evaluating grant proposals face a significant challenge: sifting through hundreds of detailed submissions, each with unique merits, to identify the most promising initiatives. This arduous, time-consuming process is typically the first step in the grant management process, which is critical to driving meaningful social impact.

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Shared by AWS Machine Learning January 31, 2025

Generative AI operating models in enterprise organizations with Amazon Bedrock

Favorite Generative AI can revolutionize organizations by enabling the creation of innovative applications that offer enhanced customer and employee experiences. Intelligent document processing, translation and summarization, flexible and insightful responses for customer support agents, personalized marketing content, and image and code generation are a few use cases using generative AI

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Shared by AWS Machine Learning January 30, 2025

Deploy DeepSeek-R1 distilled Llama models with Amazon Bedrock Custom Model Import

Favorite 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. By providing high-quality, openly available models, the AI community fosters rapid iteration, knowledge sharing, and cost-effective solutions that benefit both

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Shared by AWS Machine Learning January 30, 2025