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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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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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Knowledge Bases in Amazon Bedrock now simplifies asking questions on a single document

AWS Machine Learning

With Knowledge Bases for Amazon Bedrock, you can securely connect foundation models (FMs) in Amazon Bedrock to your company data for fully managed Retrieval Augmented Generation (RAG). Today, we’re introducing the new capability to chat with your document with zero setup in Knowledge Bases for Amazon Bedrock.

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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. What technological infrastructure is needed to make it possible for agents to do their job, and how tech has changed.

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Amazon Bedrock Prompt Management is now available in GA

AWS Machine Learning

Today we are announcing the general availability of Amazon Bedrock Prompt Management , with new features that provide enhanced options for configuring your prompts and enabling seamless integration for invoking them in your generative AI applications. Choose Create prompt. Provide a name and description, and choose Create.

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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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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.