Exploring how Model Context Protocol (MCP) Servers can transform Qlik Cloud development workflows. We integrated three MCP Servers with Claude Desktop: Atlassian for Confluence docs, Snowflake for database queries, and our custom IPDF Agent for Qlik Cloud APIs. This proof-of-concept demonstrates the art of possible: natural language interactions with your entire development ecosystem, opening new doors for AI-assisted analytics and developer productivity.

Learn how to automate Qlik Cloud report distribution at enterprise scale using Load Script distribution list tags and Qlik Automation. Eliminate manual recipient configuration and dynamically manage filters for hundreds or thousands of users. This technical guide demonstrates a complete implementation using AdventureWorksDW2022, showing how to sync recipients, create filters programmatically, and maintain secure, personalized reporting that scales effortlessly with your organ

Author: Igor Alcantara The rapid growth of AutoML platforms has enabled business users and data scientists to accelerate machine learning workflows, particularly for tabular prediction tasks. This research paper presents a benchmark comparison of Qlik Predict and DataRobot, two leading AutoML systems, across three fundamental machine learning problems: regression, binary classification, and multiclass classification. Using large, real-world datasets; including the YouTube Sho