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Qlik Answers:在 Amazon Bedrock 上规模化落地企业级 AI

AI 总结

Qlik 在 AWS 官方博客中介绍了其企业问答产品 Qlik Answers 的架构:员工用自然语言提问,系统从知识库、实时分析应用、术语表或文档中返回带引用的答案,并按 40,000 多家客户的需求在全球 11 个区域部署。系统分层为入口、路由、回答、专家智能体、对话式分析、检索(Amazon OpenSearch Service)与模型接入层,模型调用经 Qlik 自建 LLM 网关走 Amazon Bedrock,并对每个请求和响应应用 Bedrock Guardrails 的内容过滤与 grounding 校验;区域内暂不可用的模型先由 Amazon SageMaker AI 托管。Qlik 称自 2026 年 2 月正式发布以来,其 Discovery Agent 已为客户发现超过 10 万个异常/离群点,多数开启智能体功能的 Qlik Cloud 账户在持续使用,客户 Lintech International 响应速度快了 75%、业务经理每周节省最多 7 小时——这些成效数据均由 Qlik 自行披露。

深度见解

对在受监管行业构建企业级检索增强与多智能体系统的团队而言,把快速路由与深度推理分离、统一 grounding 校验层、按区域处理数据驻留,是可参考的工程模式。

Building grounded AI on Amazon Bedrock, Qlik Answers tackles a common enterprise problem: employees aren’t short on data. They are short on a fast way to ask a real question of it and get an answer they can trust. Analysts spend hours searching through documents, dashboards, and institutional memory to answer things a colleague could ask in a sentence. And when organizations try to close that gap with generative AI, many run into the same wall: answers without sources, no way to verify a result, and no path to deploy the tool in a regulated environment.

Qlik, a global leader in data integration, data quality, analytics, and AI, built Qlik Answers to solve that problem for its more than 40,000 customers worldwide. Since general availability in February 2026, Qlik Answers has moved from an early capability to daily use: Qlik’s Discovery Agent, an AI-driven anomaly and outlier detection agent, alone has surfaced more than 100,000 discoveries for customers since launch, and the majority of Qlik Cloud accounts with agentic tools turned on are actively using them.

#Qlik#Qlik Answers#Amazon Bedrock#Amazon OpenSearch Service#Amazon SageMaker AI#Amazon Bedrock Guardrails#AgentCore#AWS

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