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Secure distributed logging in scalable multi-account deployments using Amazon Bedrock and LangChain

Secure distributed logging in scalable multi-account deployments using Amazon Bedrock and LangChain

Data privacy is a critical issue for software companies that provide services in the data management space. If they want customers to trust them with their data, software companies need to show and prove that their customers’ data will remain confidential and within controlled environments. Some companies go to great lengths to maintain confidentiality, sometimes …

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Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Build a domain‐aware data preprocessing pipeline: A multi‐agent collaboration approach

Enterprises—especially in the insurance industry—face increasing challenges in processing vast amounts of unstructured data from diverse formats, including PDFs, spreadsheets, images, videos, and audio files. These might include claims document packages, crash event videos, chat transcripts, or policy documents. All contain critical information across the claims processing lifecycle. Traditional data preprocessing methods, though functional, might …

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Automating complex document processing: How Onity Group built an intelligent solution using Amazon Bedrock

Automating complex document processing: How Onity Group built an intelligent solution using Amazon Bedrock

In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group, a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities. Onity Group, founded in 1988, is headquartered in …

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