AI

DoWhile loops now supported in Amazon Bedrock Flows

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, Amazon Simple Storage Service (Amazon S3), […]

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

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 advisory system that could engage customers

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Accelerate benefits claims processing with Amazon Bedrock Data Automation

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, payment, and appeals—to enhance employee satisfaction,

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AI system learns from many types of scientific information and runs experiments to discover new materials

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables. Compare that with human scientists, who work in a collaborative environment and consider experimental results, the broader scientific literature, imaging and structural analysis, personal experience

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Improving the workplace of the future

Whitney Zhang ’21 believes in the importance of valuing workers regardless of where they fit into an organizational chart. Zhang is a PhD student in MIT’s Department of Economics studying labor economics. She explores how the technological and managerial decisions companies make affect workers across the pay spectrum.  “I’ve been interested in economics, economic impacts, and

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