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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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Answer questions from tables embedded in documents with Amazon Q Business

AWS Machine Learning

A large portion of that information is found in text narratives stored in various document formats such as PDFs, Word files, and HTML pages. Some information is also stored in tables (such as price or product specification tables) embedded in those same document types, CSVs, or spreadsheets.

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Orchestrate an intelligent document processing workflow using tools in Amazon Bedrock

AWS Machine Learning

In this post, we focus on one such complex workflow: document processing. Rule-based systems or specialized machine learning (ML) models often struggle with the variability of real-world documents, especially when dealing with semi-structured and unstructured data.

Tools 94
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AI and Customer Experience: The Smarter, Faster, and More Personal Duo Redefining B2B Success

eglobalis

This model processes multiple data types, including text, code, and images, to deliver customized services such as coding assistance for developers and document summarization for corporate users. Samsungs Gauss Portal uses AI to summarize and translate documents, providing valuable insights for corporate users.

B2B 426
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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 Apoidea Group enhances visual information extraction from banking documents with multimodal models using LLaMA-Factory on Amazon SageMaker HyperPod

AWS Machine Learning

The banking industry has long struggled with the inefficiencies associated with repetitive processes such as information extraction, document review, and auditing. This post is co-written with Ken Tsui, Edward Tsoi and Mickey Yip from Apoidea Group. SuperAcc has demonstrated significant improvements in the banking sector.

Banking 88
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Clario enhances the quality of the clinical trial documentation process with Amazon Bedrock

AWS Machine Learning

One of the critical challenges Clario faces when supporting its clients is the time-consuming process of generating documentation for clinical trials, which can take weeks. The content of these documents is largely derived from the Charter, with significant reformatting and rephrasing required.

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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.