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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 122
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Generate training data and cost-effectively train categorical models with Amazon Bedrock

AWS Machine Learning

For a multiclass classification problem such as support case root cause categorization, this challenge compounds many fold. Lets say the task at hand is to predict the root cause categories (Customer Education, Feature Request, Software Defect, Documentation Improvement, Security Awareness, and Billing Inquiry) for customer support cases.

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Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain

AWS Machine Learning

Amazon Bedrock Knowledge Bases has a metadata filtering capability that allows you to refine search results based on specific attributes of the documents, improving retrieval accuracy and the relevance of responses. Improving document retrieval results helps personalize the responses generated for each user.

APIs 95
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Document Generation Software: The Key to Reducing Costs in Your Customer Communication Strategy

Cincom

This is the scenario for companies that rely on manual processes for document generationcaught in a cycle of repetitive data entry, missing critical details, non-compliance, and whatnot. Every document you produce is an opportunity to reinforce your brands identity, tone, and professionalism. What is Document Generation Software?

CRM 40
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Unleashing the power of generative AI: Verisk’s journey to an Instant Insight Engine for enhanced customer support

AWS Machine Learning

In this post, we describe the development of the customer support process in FAST incorporating generative AI, the data, the architecture, and the evaluation of the results. Conversational AI assistants are rapidly transforming customer and employee support.

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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. This includes a one-time processing of PDF documents. The steps are as follows: The user uploads documents to the application.

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Improve the productivity of your customer support and project management teams using Amazon Q Business and Atlassian Jira

AWS Machine Learning

Effective customer support and project management are critical aspects of providing effective customer relationship management. Find accurate answers from content in Jira using Amazon Q Business After you integrate Amazon Q Business with Jira, users can ask questions from the description of the document.