Systems | Development | Analytics | API | Testing

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.