Most organizations don’t have a data problem; they have a trust problem. By the time data reaches a dashboard or an AI agent, it’s already moved across a dozen systems, and trying to determine the chain of what changed, who touched it, and whether it's still accurate can feel next to impossible.

IDC evaluated the vendors shaping how organizations rebuild that chain of trust, and named Qlik a Leader among evaluated platforms in its inaugural IDC MarketScape: Worldwide Data Intelligence Platform Software 2026 Vendor Assessment.

We believe this recognition reflects a shift already underway in this market. Data intelligence is moving past cataloging and documentation toward something more active: helping organizations decide what data can be used, by whom, and for what.

Download your copy of the report to learn why Qlik was named a Leader.

Register Now!

Fill in your details below to get started. It takes less than a minute.

Insights into the agenda*:

* Daily agenda will be published in the coming days

Swim

Data Foundation: deep dive

Before you can run, your data has to be in shape.

Master the architecture, quality, and automation that make every downstream initiative – analytics, AI, operations – succeed.

Meet the Agents: The Autonomous Future of Data Quality and Governance
See how Qlik’s agentic AI turns data management from manual, reactive work into intelligent automation. Meet Qlik’s AI Assistant, Pipeline Agent, Data Quality Agent, and Stewardship Assistant, and see how MCP extends Qlik into tools like ChatGPT and Amazon Q to deliver trusted, AI-ready data faster.
Modernizing Analytics: When to Add a Warehouse/Lakehouse
Analytics customers gain speed and flexibility from Qlik’s in-memory exploration, but as data volumes, users, and use cases grow, a data lake or warehouse becomes essential to scale. This session explores when that tipping point occurs and how combining analytics with governed data pipelines using Qlik Talend Cloud creates a more resilient, enterprise-grade analytics stack.

Real-life use case: MilkProfiler: AI-powered laboratory research - from samples to data transformation and analytics

Bike

Analytics: speed up

Insight at the speed of business.

Move from static dashboards to live, collaborative exploration. Learn how to deploy modern analytics that every team can trust and act on.

Using agents in Qlik Answers to Optimize Productivity
Speed up analytics content creation and unlock unstructured data with Qlik Answers! Learn natural language tips for dashboards, styling, and knowledge bases, plus a peek at the future of agentic AI and collaboration in Qlik. Walk away with a pocketful of tips and tricks for boosting productivity.
Real-life use cases: Why move to cloud?
We know that organizations are hesitating to adopt to the notion of transitioning to the cloud for their analytics needs. Comfortable with their current solution. But you need to be a part of the AI Revolution to succeed, learn from the others:

Nordisk Film says that moving to the cloud reduces the need for platform maintenance, allowing teams to allocate more time to activities that add value to the business.

Mayborn Group leverages Qlik Cloud Analytics to access reliable data from global sources quickly and effectively.

CB Logistiek decided to be more than good enough with just one upgrade.
Run

AI: achieve results

Intelligence you can trust, automate, and act on.

Go beyond the hype. Build AI ready data pipelines, deploy agentic experiences, and embed predictive intelligence directly into your business processes.

From Prediction to Proactive Action with AI
Take dashboards further with AI that predicts what’s next and signals what needs attention now. See how Qlik Predict™ and Qlik Discovery Agent™ work together in Qlik Cloud to forecast outcomes, detect meaningful change at scale, and transform reactive reporting into proactive, confident action across your business.
Extending Qlik Capabilities through an MCP Server
Learn how external systems can extend Qlik’s differentiated data, analytics, automation, and AI capabilities through an MCP Server. This session explores how the MCP framework enables secure, governed connectivity between Qlik Cloud and third-party applications or AI systems. See examples such as LLMs like Claude using MCP to interact with Qlik data, generate insights, and trigger workflows, showcasing the next frontier of open, agentic integration across the Qlik ecosystem. assistants.

SPEAKERS

Zoe Johnson
Zoe Johnson

Chief Architect Data,Qlik

Finn Nordesjö
Finn Nordesjö

Principal Solution Architect, Qlik

Processing...