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

专门构建的云产品

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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  • Conversational AI Platform

    A conversational AI low-code/no-code platform that automates the creation and management of multilingual digital agents and chatbots while orchestrating integrations with third-party systems across cloud providers.
  • Optimal Conversation™ Studio

    Optimal Conversation™ Studio from XAPP AI is an automated knowledge capture and curation platform for developing virtual assistants and intelligent search solutions. OC Studio combines the power of intelligent search (Amazon Kendra) to answer informational questions with the power of conversational AI (Amazon Lex) to understand and respond to intentional requests. Supported channels include: web chat, website search, text, social, smart speakers and conversational IVR. Optimal Conversations for SMBs is a partner-ready, self-service solution that makes it easy for SMB Service Providers to add AI-powered search and chat solutions to their SaaS offerings.
  • Cognigy.AI

    Cognigy is a leading enterprise software provider for Conversational AI automation. Our platform, Cognigy.AI, automates customer and employee communications. Available in on-premises and SaaS environments, Cognigy.AI enables enterprises to have natural language conversations with their users on any channel – webchat, SMS, voice and mobile apps – and in any language. Cognigy.AI powers intelligent voice and chatbots that communicate consistently and accurately beyond simple FAQ, resulting in reduced contact center costs and increased efficiency while improving user experiences. Cognigy’s worldwide client portfolio includes Daimler, Bosch, Lufthansa, Salzburg AG, and many more.
  • Conversations by NLX

    Conversations by NLX™ enables companies to transform customer contact into personalized customer self-service. The product enables non-technical users to build and manage chat, voice, and multimodal conversational experiences, helping brands track and elevate self-service into a strategic asset.
  • ServisBOT Conversational AI Platform

    ServisBOT's Conversational AI (CAI) platform allows businesses using Amazon Lex to build and manage self-service experiences across all channels (chatbots and virtual assistants) faster and more easily. Whether building your first bot, or connecting an existing Lex project for improvement, the platform provides IT with tooling to build and optimize bots while also covering security, integrations to backend systems, access management, and analytics. The platform also offers low-code tooling, blueprints, and reusable components for business users. Our multi-bot architecture makes it easier to create and manage conversational AI experiences across multiple NLPs and third-party bots in complex enterprise environments and supports ease of scaling and improved bot performance without sacrificing quality. In addition, our AI Insights tools include automated machine learning to help improve NLU performance - reducing learning delay while preventing regression. We help businesses solve the tough stuff as it relates to building and maintaining Conversational AI experiences while improving overall CX and reducing TCO.
  • NeuralSeek

    A generative AI accelerator platform, NeuralSeek provides the tools users need to gain visible proof and enterprise observability to control LLM performance and mitigate risk of hallucination, misinformation, and sensitive data loss. 'Point and click' Governance and Guardrails - allowing users to see Provenance, Coverage and Confidence Scores, and Semantic Analytics with every Retrieval Augmented Generation (RAG) output. Finite details such as real-time updates on LLM token usage, LLM cost to operate, and LLM cost comparison are also provided. Multi-agent LLM orchestration too - build and manage multiple agentic generative AI solutions from a single platform, assign LLMs to agents, string together multiple LLMs, and switch out LLMs for optimization and cost savings - all 'out of the box'. NeuralSeek reduces development time for users to test, scale, and managed their generative AI solutions in production by up to 80%.
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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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  • 发布日期
  • 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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