聊天机器人和虚拟助手

聊天机器人和虚拟助手提供交互式帮助，便于在客户渠道内进行监控、操作和故障排除。接收提示、检索诊断信息、配置资源、启动工作流程并接收基于人工智能的建议。使您的团队可以更轻松地保持更新、团结协作并快速响应事件、安全警报和客户需求。

AWS 服务
AWS 解决方案
合作伙伴解决方案
指南

AWS 服务

专门构建的云产品

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AWS 解决方案

组合 AWS 服务、代码和配置的现成解决方案

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  • AWS 上的生成式人工智能应用程序生成器

    帮助您摄取特定于业务的数据和文档、评估和比较大型语言模型（LLM）的性能、快速构建可扩展的应用程序以及使用企业级架构部署这些应用程序，从而加快开发并简化试验。

  • AWS 云端 QnABot

    部署一个由大型语言模型（LLM）提供支持的多渠道、多语言对话界面（聊天机器人），以响应客户的问题、答案和反馈。
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合作伙伴解决方案

来自 AWS 合作伙伴的软件、软件即服务或托管型服务

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  • Omilia Conversational AI Suite

    Omilia Conversational AI Suirte is an AWS-hosted Customer Service Automation Framework that provides: Zero-coding, Zero-maintenance Instantly deployable and configurable Natural Language dialog components. Now you can easily handle complex tasks, such as soliciting a credit card number, or a date of birth.
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指导

规范性的架构图、示例代码和技术内容

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  • Collaborative, Unified Data and AI Development on AWS

    This Guidance demonstrates how to use Amazon SageMaker Unified Studio to create a unified development experience for building, deploying, executing, and monitoring end-to-end workflows across AWS data, analytics, and AI/ML services. 

  • Retrieving Data Using Natural Language Queries on AWS

    This Guidance demonstrates how to efficiently retrieve data by using the agent-driven framework of Amazon Bedrock to convert natural language queries (NLQ) into SQL queries.

  • Amazon Q 企业版人工智能助手

    本指南演示了企业如何通过 Amazon Q 企业版强大的生成式人工智能功能释放其数据的价值。

  • Live Meeting Assistant on AWS

    This Guidance shows how you can add generative artificial intelligence (generative AI) to your virtual meetings to translate languages, summarize conversations, and capture live insights.

  • Automating Tasks Using Agents for Amazon Bedrock

    This Guidance demonstrates how to build on existing enterprise resources to automate tasks associated with the insurance claim lifecycle using Agents and Knowledge Bases for Amazon Bedrock.

  • Chatbot User Feedback and Analytics on AWS

    This Guidance demonstrates a prescriptive approach to gathering and storing human feedback on generative artificial intelligence (AI) applications, allowing businesses to estimate the value of their AI investments by collecting user satisfaction data.
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