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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning

In this post, we propose an end-to-end solution using Amazon Q Business to simplify integration of enterprise knowledge bases at scale. Furthermore, it might contain sensitive data or personally identifiable information (PII) requiring redaction. This solution uses the powerful capabilities of Amazon Q Business.

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Guest Blog: Why Knowledge Base Integration with Live Chat Is Important for Better Customer Support

ShepHyken

If you provide your target customers with a centralized web-based knowledge base of information, helping them find the solutions to their pain points on their own, without the hassle of phone calls to your contact center, you need to make sure they receive the best customer support within your knowledge base.

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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

These documents are internally called account plans (APs). In 2024, this activity took an account manager (AM) up to 40 hours per customer. In this post, we showcase how the AWS Sales product team built the generative AI account plans draft assistant. Its a game-changer for serving my full portfolio of accounts.

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Introducing guardrails in Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Knowledge Bases for Amazon Bedrock is a fully managed capability that helps you securely connect foundation models (FMs) in Amazon Bedrock to your company data using Retrieval Augmented Generation (RAG). In the following sections, we demonstrate how to create a knowledge base with guardrails.

APIs 124
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6 Killer Applications for Artificial Intelligence in the Customer Engagement Contact Center

If Artificial Intelligence for businesses is a red-hot topic in C-suites, AI for customer engagement and contact center customer service is white hot. This white paper covers specific areas in this domain that offer potential for transformational ROI, and a fast, zero-risk way to innovate with AI.

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Implementing Knowledge Bases for Amazon Bedrock in support of GDPR (right to be forgotten) requests

AWS Machine Learning

The General Data Protection Regulation (GDPR) right to be forgotten, also known as the right to erasure, gives individuals the right to request the deletion of their personally identifiable information (PII) data held by organizations. Model providers can’t access customer data in the deployment account.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning

The Lambda function interacts with Amazon Bedrock through its runtime APIs, using either the RetrieveAndGenerate API that connects to a knowledge base, or the Converse API to chat directly with an LLM available on Amazon Bedrock. If you don’t have an AWS account, refer to How do I create and activate a new Amazon Web Services account?

APIs 118