Explore how Qlik and Snowflake Cortex AI-SQL redefine data enrichment and analytics through a three-part video series that shows what the technology can do, how it works, and how to build with it. Dalton Ruer, Master Principal Solution Architect at Qlik, guides you through these truly transformative videos, designed to make AI accessible to everyone — not just data scientists. He demonstrates how to build Qlik Automations that execute calls to Snowflake Cortex Complete, configure advanced analytics connections within load scripts, and implement audit trails to monitor AI usage.
What’s Possible
The first introductory video explores how SQL-savvy data engineers can invoke powerful AI functionality at scale—without complex data science programming—using Snowflake’s SQL wrapper for AI capabilities. Learn how Qlik operationalizes Cortex AI-SQL across your entire data pipeline, from enriching data in-flight through Qlik Talend Cloud to enabling business users to interact with AI-powered insights through Qlik Sense analytics. See how sentiment analysis, classifications, and large language model interactions become as simple as standard SQL functions. Whether you’re transforming data during ingestion or empowering analysts to ask natural language questions directly in dashboards, this integration lowers the barrier to enterprise AI for your entire organization.
How It Works
In the second video, we showcase Snowflake Cortex AI-SQL in action. This video provides in-depth demonstrations that guide you through the entire analytics life cycle, from raw data to actionable insights. This deep-dive video highlights real-world implementations, including sentiment analysis on healthcare survey data, emotion classification using the Plutchik Wheel of Emotions, and advanced prompt engineering techniques for generating actionable business recommendations.
You’ll see how Qlik transforms these AI capabilities into concrete actions within data pipelines, delivering enriched insights as structured data that is easily accessible to any user — no SQL or data science expertise required. Additionally, Qlik Sense integrates seamlessly with Cortex Complete, providing interactive AI responses that adjust in real time to user filters and the context of the data.
From analyzing relationships between complex business metrics to uncovering cultural insights for new market expansion opportunities, this integration empowers analysts to ask questions that go beyond traditional BI capabilities. Learn best practices for model selection, prompt optimization, and building AI-powered applications that maintain data governance, security, and version-of-truth integrity across your organization.
How To Build It
Ready to implement Snowflake Cortex AI-SQL in your Qlik environment? In the third video you can view a technical walkthrough provides step-by-step guidance for building AI-powered analytics applications using two proven architectural approaches. Learn how to leverage Qlik‘s partial reload functionality for user-triggered AI queries, and discover the advanced analytics connector method for creating fully responsive, selection-aware AI interactions. Master the techniques for passing aggregated data alongside questions to ensure security compliance, honor role-based access controls, and maintain multiple versions of truth across different departments. Whether deploying on QlikView, Qlik Sense Enterprise, or Qlik Cloud, you’ll gain practical knowledge for creating production-ready AI integrations that respect data governance, support diverse data sources, and enable critical thinking through feedback loops. Transform your technical team into AI implementation experts with this comprehensive build guide.
Article source: https://www.youtube.com/@QlikOfficial/videos.
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