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

ShepHyken

This week on our Friends on Friday guest blog post my colleague, Jason Grills, writes about the importance of good customer support and the impact it can have on your business. Customer support agents must understand just how important their roles and responsibilities are to the customer experience. Shep Hyken.

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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning

Generative AI has transformed customer support, offering businesses the ability to respond faster, more accurately, and with greater personalization. AI agents , powered by large language models (LLMs), can analyze complex customer inquiries, access multiple data sources, and deliver relevant, detailed responses.

APIs 128
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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

AWS Machine Learning

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. Improving document retrieval results helps personalize the responses generated for each user. For instructions, see Create an Amazon Bedrock knowledge base.

APIs 86
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68 Customer Support Email Address Name Ideas

CX Accelerator

Written by Jenny Dempsey, 5.25.2022 You don’t actually want to contact customer support. You can’t find the answer in the knowledge base on the company website, instruction book or the FAQs. Before a customer can reach out to get support, there needs to be communication channels in place.

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Balancing Automation and Personalization

ShepHyken

The lockdown has changed our customers’ perspective on how they want to spend their time. Customers want to be more self-sufficient and spend less time interacting with customer support if they can get answers faster on their own. How do customers want to control their self-service experience?

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Redefining the Contact Center with Jonathan Rosenberg

ShepHyken

This episode of Amazing Business Radio with Shep Hyken answers the following questions and more:    How can companies effectively balance customer self-service with personal interactions in high-stakes situations? How does AI contribute to transforming contact center agents into brand ambassadors?

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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 130