Integrate Amazon Bedrock Agents with Slack

Favorite As companies increasingly adopt generative AI applications, AI agents capable of delivering tangible business value have emerged as a crucial component. In this context, integrating custom-built AI agents within chat services such as Slack can be transformative, providing businesses with seamless access to AI assistants powered by sophisticated foundation

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Shared by AWS Machine Learning May 22, 2025

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

Favorite 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,

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Shared by AWS Machine Learning May 21, 2025

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

Favorite 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

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Shared by AWS Machine Learning May 21, 2025

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

Favorite 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. This innovative tool is designed to enhance the onboarding

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Shared by AWS Machine Learning May 20, 2025

Detect hallucinations for RAG-based systems

Favorite 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 that the large language model (LLM) was not trained on.

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Shared by AWS Machine Learning May 17, 2025

Vxceed secures transport operations with Amazon Bedrock

Favorite Vxceed delivers SaaS solutions across industries such as consumer packaged goods (CPG), transportation, and logistics. Its modular environments include Lighthouse for CPG demand and supply chains, GroundCentric247 for airline and airport operations, and LimoConnect247 and FleetConnect247 for passenger transport. These solutions support a wide range of customers, including government

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Shared by AWS Machine Learning May 16, 2025