AI in Qlik Cloud

Overview

Qlik leverages AI capabilities within multiple Qlik Cloud services. This includes Agentic AI, Generative AI & machine learning feature sets. When adding new AI based services, or enhancing existing services with AI, Qlik's priority is to put the protection of customer data first. The full list of AI capabilities are kept on our Trust & AI page.

AI is not new to Qlik. Qlik introduced the Cognitive engine in 2017, enhancing our associative technology with AI features. At the same time we introduced Server Side Extensions (SSE) to integrate machine learning technologies into Qlik Applications, one of the first Analytics vendors to move in this direction. This was further expanded in 2018 with Insight advisor. Qlik has continued to develop and innovate our products with AI through the years and have a comprehensive set of AI capabilities throughout the Data & Analytics lifecycle.

Qlik Answers

Qlik Answers is Qlik's AI-powered question-and-answer capability built into Qlik Cloud. It allows users to ask natural language questions about their data and receive AI-generated responses grounded in that data, rather than requiring them to build charts or navigate dashboards manually. Qlik Answers supports both structured and unstructured data.

Qlik MCP Server

Qlik MCP Server is an interface that allows third-party AI clients to query Qlik Cloud data using the user's own credentials and permissions. It implements the Model Context Protocol (MCP) — an open standard for connecting AI assistants to external data sources. This allows users to connect tools like Claude, ChatGPT, GitHub Copilot, Cursor, or VS Code directly to their Qlik Cloud data and ask questions in natural language, with the AI drawing on live Qlik data to generate responses.