Accelerate benefits claims processing with Amazon Bedrock Data Automation

Favorite In the benefits administration industry, claims processing is a vital operational pillar that makes sure employees and beneficiaries receive timely benefits, such as health, dental, or disability payments, while controlling costs and adhering to regulations like HIPAA and ERISA. Businesses aim to optimize the workflow—covering claim submission, validation, adjudication,

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Shared by AWS Machine Learning September 26, 2025

How PropHero built an intelligent property investment advisor with continuous evaluation using Amazon Bedrock

Favorite This post was written with Lucas Dahan, Dil Dolkun, and Mathew Ng from PropHero. PropHero is a leading property wealth management service that democratizes access to intelligent property investment advice through big data, AI, and machine learning (ML). For the Spanish and Australian consumer base, PropHero needed an AI-powered

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Shared by AWS Machine Learning September 26, 2025

DoWhile loops now supported in Amazon Bedrock Flows

Favorite Today, we are excited to announce support for DoWhile loops in Amazon Bedrock Flows. With this powerful new capability, you can create iterative, condition-based workflows directly within your Amazon Bedrock flows, using Prompt nodes, AWS Lambda functions, Amazon Bedrock Agents, Amazon Bedrock Flows inline code, Amazon Bedrock Knowledge Bases,

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Shared by AWS Machine Learning September 26, 2025

Integrate tokenization with Amazon Bedrock Guardrails for secure data handling

Favorite This post is co-written by Mark Warner, Principal Solutions Architect for Thales, Cyber Security Products. As generative AI applications make their way into production environments, they integrate with a wider range of business systems that process sensitive customer data. This integration introduces new challenges around protecting personally identifiable information

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Shared by AWS Machine Learning September 24, 2025

Running deep research AI agents on Amazon Bedrock AgentCore

Favorite AI agents are evolving beyond basic single-task helpers into more powerful systems that can plan, critique, and collaborate with other agents to solve complex problems. Deep Agents—a recently introduced framework built on LangGraph—bring these capabilities to life, enabling multi-agent workflows that mirror real-world team dynamics. The challenge, however, is

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Shared by AWS Machine Learning September 24, 2025