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Boosting team productivity with Amazon Q Business Microsoft 365 integrations for Microsoft 365 Outlook and Word

Amazon Q Business, with its enterprise grade security, seamless integration with multiple diverse data sources, and sophisticated natural language understanding, represents the next generation of AI business assistants. What sets Amazon Q Business apart is its support of enterprise...

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...

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....

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...

HERE Technologies boosts developer productivity with new generative AI-powered coding assistant

This blog post is co-written with Jonas Neuman from HERE Technologies.  HERE Technologies, a 40-year pioneer in mapping and location technology, collaborated with the AWS Generative AI Innovation Center (GenAIIC) to enhance developer productivity with a generative AI-powered coding assistant....

Detect hallucinations for RAG-based systems

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data...
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