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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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Create Your CX Charter with These 6 Questions

Experience Investigators by 360Connext

A customer experience charter is a brief document outlining the agreements the CX governing team needs to align with their decisions. Project charters have become a common tool in project management, and the CX charter serves a similar purpose. The charter, however, is not a magical document. Then, Create a CX Charter.

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Calabrio Named the Only May 2019 Gartner Peer Insights Customers’ Choice for Workforce Engagement Management (WEM)

Calabrio

The Calabrio team is excited to announce we have been recognized as the only May 2019 Gartner Peer Insights Customers’ Choice for Workforce Engagement Management (WEM). Forecasting and scheduling manager at a $1-3 billion company. Today, our customers have made us feel like one-in-a-million. out of 5 as of May 23, 2019 for WEM.

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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Today, we’re introducing the new capability to chat with your document with zero setup in Knowledge Bases for Amazon Bedrock.

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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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Intelligent document processing with Amazon Textract, Amazon Bedrock, and LangChain

AWS Machine Learning

In today’s information age, the vast volumes of data housed in countless documents present both a challenge and an opportunity for businesses. Traditional document processing methods often fall short in efficiency and accuracy, leaving room for innovation, cost-efficiency, and optimizations. However, the potential doesn’t end there.

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

AWS Machine Learning

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. Customers appreciate that Amazon Q Business securely connects to over 40 data sources. These documents are then synced to Amazon Q Business during the syncing phase.

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