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Automate document processing with Amazon Bedrock Prompt Flows (preview)

AWS Machine Learning

Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. An AWS Lambda function reads the Amazon Textract response and calls an Amazon Bedrock prompt flow to classify the document.

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The Best Online PDF Converters for All Your Document Needs

CSM Magazine

Managing documents effectively is a crucial ability in modern life. This article delves into a selection of choices, providing an overview of how they address document requirements. These tools offer an easy-to-use platform for users to convert documents without the hassle of downloading software programs.

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Quantum CX: Exploring the Fascinating Connection Between Quantum Physics and Customer Experience

ECXO

Quantum CX: Exploring the Fascinating Connection Between Quantum Physics and Customer Experience This time we will explore the fascinating connection between Quantum Physics and Customer Experience. This involves immersing researchers in the customer’s environment to observe and document their emotions and experiences.

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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Q Business

AWS Machine Learning

Customers appreciate that Amazon Q Business securely connects to over 40 data sources. While using their data source, they want better visibility into the document processing lifecycle during data source sync jobs. Additionally, they want access to metadata, timestamps, and access control lists (ACLs) for the indexed documents.

Report 109
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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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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

A key part of the submission process is authoring regulatory documents like the Common Technical Document (CTD), a comprehensive standard formatted document for submitting applications, amendments, supplements, and reports to the FDA. The tedious process of compiling hundreds of documents is also prone to errors.

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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra

AWS Machine Learning

Amazon Kendra securely connects to over 40 data sources. When using your data source, you might want better visibility into the document processing lifecycle during data source sync jobs. Additionally, you might need access to metadata, timestamps, and access control lists (ACLs) for the indexed documents.

Report 78