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Conversational Analytics: Powerful Data Behind Business Transformation

InMoment XI

When you analyze the natural language interactions between customers and an organization, conversational analytics unlocks a wealth of insights that can be used to resolve issues faster, enhance agent performance, reduce costs, and demonstrate the value of customer service investments. What is Conversational Analytics?

Analytics 195
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Optimizing Employee Insights from Structured and Unstructured Data

InMoment XI

Workforce Analytics and Voice of Employee. Employee data streams come from two principal frameworks: People Analytics and Voice of Employee (VoE). People Analytics aka Workforce Analytics, are the data sets HR uses to make recruitment more effective, increase retention and longevity, and improve fit, alignment, and productivity.

Data 368
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How to Read the Forrester Wave for Text Analytics: A Guide for Buyers

InMoment XI

With the increased adoption of AI in business across all industries, there has also been a rise in text mining and analytics. For text analytics, it assesses vendors based on a detailed set of criteria to provide a comparative analysis. Get the Report What is the Difference Between Gartner and Forrester?

Analytics 195
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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

This model processes multiple data types, including text, code, and images, to deliver customized services such as coding assistance for developers and document summarization for corporate users. Similarly, Oracle has been using its Oracle Text Analytics tool since 2015 to analyze customer feedback from surveys, social media, and reviews.

B2B 304
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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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How Deltek uses Amazon Bedrock for question and answering on government solicitation documents

AWS Machine Learning

Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. In this collaboration, the AWS GenAIIC team created a RAG-based solution for Deltek to enable Q&A on single and multiple government solicitation documents.