Systems | Development | Analytics | API | Testing

The Agent Era Has a Data Problem. Qlik Solves It.

It’s clear that we are in the early innings of an unparalleled shift in how knowledge work gets done across the board. If you pull forward the changes we’ve already seen from teams who have adopted agents in software development and apply them to broader categories of knowledge work, you can see how these patterns will lead to a fundamental rethinking of the relationship and responsibilities between humans, software, and data.

Who wants a 1:1 QlikView to Qlik Sense Converter Tool? - Teaser

So......who wants a 1:1 conversion tool to convert hashtag#QlikView apps to Qlik Cloud Analytics apps (Qlik Sense)? Here is a teaser - Stay tuned for more information. Speacial thanks to Daniel Pilla Adam Jacobs Savraj Rakkar - the conversion tool dream team! Designed for Qlik customers, partners, developers, and enterprise teams, it removes the biggest barrier to cloud migration: manually rebuilding dashboards. Instead of spending months recreating sheets, layouts, and expressions, this tool converts everything automatically — preserving the look, feel, and logic users already know.

Data Products for Qlik Analytics - "What is a Dataset?" - Part 2

Are you using datasets in Qlik Cloud Analytics yet? Before jumping into building a Data Product, there’s one foundational piece you can’t afford to overlook: the dataset. It’s more than just a data asset—it’s the backbone of everything you create in hashtag#Qlik. I just dropped a new video breaking down what a Qlik dataset really is, why it matters, and how to use it the right way before moving on to more advanced builds.

Discovery Agent is Here! - Quick Explainer

Discovery Agent brings automated anomaly detection directly into Qlik Cloud. It monitors the metrics you care about, identifies meaningful changes, and delivers contextual insights right where you work. Today it’s a monitoring capability inside Qlik Cloud. Over time, it becomes one of the agentic services supporting autonomous workflows across the platform.

Bringing Real-Time Streaming to Qlik Open Lakehouse

The appetite for real-time data continues to grow. Across industries, the ability to act on data as it arrives is increasingly central to how leading organizations compete, from IoT and fraud detection to event driven analytics and AI agent architectures. Streaming data is no longer a specialist workload. It is becoming a core requirement. I am excited to announce that streaming ingestion is generally available in Qlik Open Lakehouse, part of Qlik Talend Cloud.