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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.

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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 103
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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Kendra

AWS Machine Learning

When using your data source, you might want better visibility into the document processing lifecycle during data source sync jobs. They could include knowing the status of each document you attempted to crawl and index, as well as being able to troubleshoot why certain documents were not returned with the expected answers.

Report 73
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Document THIS! Betrayed by Customer Experience Documentation

Experience Investigators by 360Connext

The post Document THIS! Betrayed by Customer Experience Documentation appeared first on Customer Experience Consulting. Processes involving humans (that is, ALL of them) require lots and lots of reminders, revisions and revamping.

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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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Elevate healthcare interaction and documentation with Amazon Bedrock and Amazon Transcribe using Live Meeting Assistant

AWS Machine Learning

Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. By using the solution, clinicians don’t need to spend additional hours documenting patient encounters. This blog post focuses on the Amazon Transcribe LMA solution for the healthcare domain.

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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.,

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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.