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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.

Resources 135
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How to Create Your CX Program Charter

GetFeedback

The CX charter is a concise document that defines roles, responsibilities, timelines, and outcomes for your cross-functional CX program.

How To 459
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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.

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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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2022 Contact Center Buyers' Guide

This document will help you and your team narrow the field, with detail on the full impact your proposed CCaaS platforms can make on your operations, plus open-ended probing questions that get you better, more insightful responses than a simple “yes”. This guide covers: Omnichannel & Inbound.

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How InMoment Assists with Regulatory Compliance

InMoment XI

But many compliance tools lack flexibility or are missing key technologies for parsing complex structures in legal, medical and financial documents. Categorization: Categorize customer reviews, support tickets, or any other type of text document into groups based on their contents. That’s where InMoment comes in.

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

AWS Machine Learning

While using their data source, they want better visibility into the document processing lifecycle during data source sync jobs. They want to know the status of each document they attempted to crawl and index, as well as the ability to troubleshoot why certain documents were not returned with the expected answers.

Report 130
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4 Strategies to Boost Agent Productivity

Speaker: Melissa Pollock, Customer Success Officer, AmplifAI

What to identify, document and share. This webinar will explore 4 strategies that contact center leaders can use to lead and coach their agents and supervisors to stay ahead of the productivity curve. In this webinar, you will know: How to build the necessary interpersonal skills to engender CX behaviors.

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Customer Success Needs to Grow (Up)

Speaker: Peter Armaly - Senior Director and Advisor of Customer Success at Oracle

Customer success is a well-established practice in the enterprise business world (70% of companies have a dedicated team, according to TSIA) and the benefits it delivers to customers are real and well-documented. So why is there still ongoing debate and angst about customer success not being treated as an equal partner to its sales peers?

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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.