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Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Analytics for the AI Era, Reimagined with Data Products
I spend a lot of time with customers and partners, and the pattern is consistent. Everyone wants the benefits of AI, faster decisions, more automation, better productivity. But the thing that slows them down is not the model. It’s the data underneath it. Not just any data, but trusted data to drive trustworthy business outcomes. As soon as you move from AI that explains to AI that influences workflows, ambiguity stops being an inconvenience. It becomes a liability.
Data Products for Qlik Analytics - SaaS in 60
Qlik Data Products for Analytics is how you turn raw data into something people can actually trust and reuse. It’s built right into Qlik Cloud Analytics and is designed for analytics teams, data producers, and even AI initiatives. Instead of everyone rebuilding datasets over and over, teams can publish curated, governed, analytics-ready data products that include business context, quality checks, and our patented Qlik Trust Score. People discover them in a marketplace, plug them straight into dashboards, apps, or AI workflows, and move fast with confidence. The big value? Less duplication, lower cost, faster app development, and insights you can actually trust.
Trends 2026 - AI and the Evolving Data Professional
Just a month into the year, and a few weeks since the launch of Qlik Trends 2026, we’ve already seen just how fast the AI landscape can evolve. The emergence of Claude Cowork and Moltbook reflect the two ends of the spectrum when it comes to agent collaboration. After taking a breath to digest Dan Sommer’s fascinating webinar – check it out if you haven’t already – I’ve been reflecting on which trends are set to make the most impact this year.
On the Frontlines of a Simulated DoD Environment
Qlik’s lessons learned from developing systems in a locked-down military-grade data zone at the 2025 NDIA Hackathon In early September, developers from across the country arrive at George Mason University’s Fuse facility with laptops, notebooks, and one big unknown: how do you build a defense-grade analytics solution in just 72 hours in a simulated air-gap environment.
Automate Qlik App Dev with Snowflake Cortex Code (GA) + MCP | AI Demo
See how to supercharge analytics development with Snowflake’s Cortex Code (CoCo) and Qlik’s Model Context Protocol (MCP). In this demo, we auto-generate master dimensions and measures for the Qlik app using AI—showing how Qlik and Snowflake work together to accelerate trusted analytics. What you’ll learn: Perfect for data engineers, BI developers, and analytics leaders who want to move from raw data to reliable insight—faster.
Qlik MCP and Snowflake Cortex Code: Automate Building Analytics Reporting
In this step-by-step, demo, we use AI to create master dimensions and master measures, then using Cortex and MCP automate the creation of the Qlik Sense app showing KPIs, tables, and filters—all powered by Qlik MCP & Snowflake Cortex Code. What you’ll learn: Perfect for BI developers, and analytics leaders who want trustworthy analytics. Watch now.
Qlik MCP - Quick Demo
A quick demo of simple scenatio using Qlik MCP Server and Anthropic Claude as the LLM AI client. Where you should go next.
Data Quality Is the Guardrail for Agentic AI
Gartner has named Qlik a Leader in the 2026 Gartner Magic Quadrant for Augmented Data Quality Solutions, our seventh time being recognized as a Leader in this Magic Quadrant. As AI becomes operational, data quality matters more than ever. We’re past the phase where AI just produces outputs. AI is starting to initiate, route, and act across real workflows.
Supercharge Retail Growth: Get Qlik & Snowflake's Expert Guide
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.
How to Make Data Work for Agentic AI
For decades, organizations have worked to use data to make better decisions and drive better outcomes. Data has become the lifeblood of the business, and AI now has the power to unlock it in new ways. The paradigm is shifting, from dashboards and visual interfaces to AI driven experiences. But too much data is still stuck in silos, incomplete, and inaccurate. Many analytics workflows remain manual, which slows time to value, limits insight quality, and raises cost.
Qlik Answers -Quickly Setup an Analytics App - Do More with Qlik -
This video will provide you with the necessary steps to make sure you are ready to use Qlik Answers!
Meet Qlik Answers
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.
Why Every AI Deployment Needs a Pre-Flight Data Checklist
You’re in the cockpit of a small plane, cruising a few thousand feet in the air. Then, out of nowhere, the airspeed dips and an alarm rings out. The nose drops, and you're in a full-out stall by the time instinct kicks in. You pull back on the yoke, trying to steady the plane, stop the descent and patch things up midair. But that’s exactly the move that seals your fate, sending you into a deeper spiral.
Qlik for Snowflake - From Ingestion to Insights
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.