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Enhancing AWS intelligent document processing with generative AI

AWS Machine Learning

Data classification, extraction, and analysis can be challenging for organizations that deal with volumes of documents. Traditional document processing solutions are manual, expensive, error prone, and difficult to scale. FMs are transforming the way you can solve traditionally complex document processing workloads.

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The Art of Negotiation: Winning Strategies in the Real Estate Marketplace

CSM Magazine

When mastering the art of negotiation in the real estate marketplace, understanding the importance of strategy is critical. Prepare Your Documents and Paperwork Gather all necessary documents and paperwork before engaging in real estate marketplace negotiation to ensure a smooth and organized process.

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Intelligent document processing with AWS AI services: Part 2

AWS Machine Learning

Amazon’s intelligent document processing (IDP) helps you speed up your business decision cycles and reduce costs. Across multiple industries, customers need to process millions of documents per year in the course of their business. The following figure shows the stages that are typically part of an IDP workflow.

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Using Omnichannel Contact Center to Drive Customer Satisfaction

InMoment XI

An omnichannel contact center is a customer service model that integrates and manages various communication channels in a unified and seamless manner. In an omnichannel contact center, customers can interact with a business through channels such as phone calls, emails, chat, social media, and more.

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The Health of the Contact Center: Are You Ready for 2019?

A survey of 1,000 contact center professionals reveals what it takes to improve agent well-being in a customer-centric era. This report is a must-read for contact center leaders preparing to engage agents and improve customer experience in 2019.

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Detect signatures on documents or images using the signatures feature in Amazon Textract

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from any document or image. AnalyzeDocument Signatures is a feature within Amazon Textract that offers the ability to automatically detect signatures on any document. Lastly, we share some best practices for using this feature.

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Knowledge Bases for Amazon Bedrock now supports metadata filtering to improve retrieval accuracy

AWS Machine Learning

However, in many situations, you may need to retrieve documents created in a defined period or tagged with certain categories. To refine the search results, you can filter based on document metadata to improve retrieval accuracy, which in turn leads to more relevant FM generations aligned with your interests.