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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. Solution overview To be scalable and cost-effective, this solution uses serverless technologies and managed services.

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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 129
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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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Introducing document-level sync reports: Enhanced data sync visibility in Amazon Q Business

AWS Machine Learning

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. While using their data source, they want better visibility into the document processing lifecycle during data source sync jobs.

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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”. Workforce Engagement Management. This guide covers: Omnichannel & Inbound.

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Create a document lake using large-scale text extraction from documents with Amazon Textract

AWS Machine Learning

AWS customers in healthcare, financial services, the public sector, and other industries store billions of documents as images or PDFs in Amazon Simple Storage Service (Amazon S3). In this post, we focus on processing a large collection of documents into raw text files and storing them in Amazon S3.

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Cost-effective document classification using the Amazon Titan Multimodal Embeddings Model

AWS Machine Learning

Organizations across industries want to categorize and extract insights from high volumes of documents of different formats. Manually processing these documents to classify and extract information remains expensive, error prone, and difficult to scale. Categorizing documents is an important first step in IDP systems.

Banking 125
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4 Strategies to Boost Agent Productivity

Speaker: Melissa Pollock, Customer Success Officer, AmplifAI

With new technologies and emerging methods, managers must be both proactive and relevant in order to keep their agents engaged. 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.

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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. The only way this angst will end is if customer success accepts full responsibility for post-sales revenue management of customers.

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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.