The session focuses on the practical use of the Model Context Protocol (MCP), which allows external AI agents (such as Claude) to securely “step out of the closed room” and interact directly and intelligently with data in the Qlik ecosystem.
How AI agents are transforming data analysis and reporting in organizations
You will understand how AI agents can independently select data analysis tools while fully respecting user permissions and organizational security policies. You will also see how to create advanced visualizations and automated reports using simple text commands—reports that not only present numbers but also deliver ready-made insights and business recommendations.
From data quality to AI agents—modern analytics with Qlik
During the webinar, we will explain:
- The importance of data quality and the concept of a “single source of truth” in AI-supported analytics.
- Solution architecture: how the MCP server connects LLM models with the Qlik platform.
- Key competencies of AI agents: project configuration, skills, and artifacts.
- Conversational analytics in practice—querying business data in natural language.
- Developer workflow automation: generating complete dashboards and standardized reports in real time.
Who is this webinar for?
The webinar is designed for data analysts, business managers, and IT professionals seeking ways to radically accelerate reporting processes and safely implement artificial intelligence into daily work with corporate data. The content will be particularly valuable for those responsible for BI strategy and data quality in organizations that aim to shorten the time from business question to reliable answer.