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Why Your Search Bar Isn’t Enough: The Real Difference Between a KnowledgeBase and a Knowledge Management System

CCNG

Many organizations believe that a simple document holder or database with a search bar is a knowledge management system. Key Features of a KMS Heres what makes a KMS the game-changer in todays contact centers: Speed of Delivery: Unlike traditional document holders, a KMS is designed to deliver answers within seconds.

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Scalable intelligent document processing using Amazon Bedrock

AWS Machine Learning

In today’s data-driven business landscape, the ability to efficiently extract and process information from a wide range of documents is crucial for informed decision-making and maintaining a competitive edge. The Anthropic Claude 3 Haiku model then processes the documents and returns the desired information, streamlining the entire workflow.

APIs 127
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Guest Post: Here Are The Do’s & Don’ts of Social Media Customer Service

ShepHyken

Does your social media specialist have the autonomy to answer FAQs, or will there be a different point person? Compile the most frequently asked questions in a shared document, determine the best possible answers, and distribute the document to your customer service team. . That takes answering some of the questions below: .

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Unlock personalized experiences powered by AI using Amazon Personalize and Amazon OpenSearch Service

AWS Machine Learning

If a distinctive keyword appears more frequently in a document, BM-25 assigns a higher relevance score to that document. Amazon Personalize allows you to add sophisticated personalization capabilities to your applications by using the same machine learning (ML) technology used on Amazon.com for over 20 years.

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Study: The Health of the Contact Center

What does it take to engage agents in this customer-centric era? Download our study of 1,000 contact center agents in the US and UK to find out what major challenges are facing contact center agents today – and what your company can do about it.

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Customize Amazon Textract with business-specific documents using Custom Queries

AWS Machine Learning

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents. Queries is a feature that enables you to extract specific pieces of information from varying, complex documents using natural language. personal or cashier’s checks), financial institution and country (e.g.,

APIs 126
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Improving inclusion and accessibility through automated document translation with an open source app using Amazon Translate

AWS Machine Learning

We developed the Document Translation app, which uses Amazon Translate , to address these issues. The Document Translation app uses Amazon Translate for performing translations. Amazon Translate provides high-quality document translations for contextual, accurate, and fluent translations. 1 – Translating a document.

APIs 132
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The Challenges of Omnichannel: Why so Many Contact Centers Struggle with Digital Self-Service

To find how contact centers are navigating the transition to omnichannel customer service, Calabrio surveyed more than 1,000 marketing and customer experience leaders in the U.S. about their digital customer communication strategies. Read the report to find out what was uncovered.

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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.