Systems | Development | Analytics | API | Testing

According to a recent report, 90% of retail leaders say they began experimenting with gen AI solutions and scaling priority use cases. Retailers are looking to update data systems and boost AI for risk, cost reduction, and growth need an all-encompassing approach — and that means efficiently blending AI and analytics into operations. Learn how to use data and AI to manage risk and drive growth for your organization, see how Qlik and Snowflake are making this happen today.

Discover how Qlik Answers transforms the way teams work with data. As part of Qlik’s newly released agentic experience in Qlik Cloud, Qlik Answers brings together natural language interaction, the power of the Qlik Analytics Engine, and governed, trusted data, all supported with transparent reasoning and citations.

This video will provide you with the necessary steps to make sure you are ready to use Qlik Answers!

In partnership with Snowflake, Qlik helps customers modernize data estates end to end—from ingestion to insight—using Qlik Talend Cloud Data Integration and an internal data marketplace. With no‑code/SQL pipelines, thousands of secure connectors, and built‑in governance and lineage, Qlik automates trusted data movement into Snowflake and turns it into certified, reusable data products—an “app store for insight”—that accelerate time to value and power advanced analytics and AI.

AI is moving fast, but outcomes still depend on one thing: trusted data, in the right place, at the right time, with the right controls. In this short Qlik story video, you’ll see how we help teams accelerate AI with confidence, turning data into answers you can explain, and actions you can stand behind. From strengthening supply chain decisions, to building a campaign plan in seconds, to spotting changes as they happen, Qlik connects analytics, automation, and governed AI experiences, so AI becomes operational, not experimental.

Discover how Qlik and Snowflake Cortex AI-SQL are revolutionizing data enrichment and analytics accessibility. This 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 Snowflake Cortex AI-SQL in action with comprehensive demonstrations across the entire analytics lifecycle. This deep-dive video showcases real-world implementations including sentiment analysis on healthcare survey data, emotional classification using the Plutchik Wheel of Emotions, and sophisticated prompt engineering for actionable business recommendations. Watch how Qlik operationalizes these AI capabilities within data pipelines, storing enriched insights as structured data that any user can access—no SQL or data science expertise required.

Ready to implement Snowflake Cortex AI-SQL in your Qlik environment? This 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.

Part 5 - shows how to take your previous automation work and convert it into a template so others can benfit from it. Learn a few tips and tricks along the way.

That whole Informatica and Salesforce acquisition put your on-prem needs on hold. Good thing Qlik’s data advocate has a powerful post-PowerCenter alternative for you, combining quality, low-cost data tools with expert support. Dingo Data Bingo — it’s time to Do Data Differently.