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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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InMoment named Leader in Forrester Wave™: Text Mining and Analytics, Q2 2024: A Comprehensive Breakdown

InMoment XI

InMoment is excited to announce its recognition as a Leader in the Forrester Wave : Text Mining and Analytics, Q2 2024. For some context , The Forrester Wave Text Mining and Analytics, Q2 2024 report is a rigorous evaluation of the top text mining and analytics providers.

Analytics 195
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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning

Amazon Lookout for Metrics is a fully managed service that uses machine learning (ML) to detect anomalies in virtually any time-series business or operational metrics—such as revenue performance, purchase transactions, and customer acquisition and retention rates—with no ML experience required. To learn more, see the documentation.

Metrics 84
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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

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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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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. This task involves answering analytical reasoning questions.

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Boost post-call analytics with Amazon Q in QuickSight

AWS Machine Learning

Post Call Analytics (PCA) is a solution that does most of the heavy lifting associated with providing an end-to-end solution that can process call recordings from your existing contact center. These capabilities can significantly enhance your post-call analytics workflow, making it easier to derive insights from your contact center data.