Explore Qlik’s vision and latest innovations. See clearly how we help organizations move beyond experimentation by solving the hardest part of AI — making it accurate, connected, and efficient at scale by fortifying your data foundation. In a landscape defined by rising costs and constant change, you can move forward with confident control and make your data the difference that puts agentic AI into action.

Everyone is investing in AI platforms, models, and cloud infrastructure, but investments alone don’t guarantee results. The real challenge is orchestrating AI that’s accurate, trusted, scalable, and efficient by focusing on what lies beneath: the data. See how Qlik fits at the center of your AI architecture, delivering the context, trust, and freedom required to power agents, models, and decisions at scale — today and tomorrow.

How do you move from reactive HR reporting to proactive, data-driven intervention?
In this session, PostNord Logistics will demonstrate how AI can be applied to a highly relevant and tangible use case: predicting and managing sick leave before it escalates into operational disruption.
By leveraging historical data—capturing trends, seasonality, and behavioral patterns—PostNord builds predictive models that forecast expected sick leave levels across units. These forecasts are continuously compared with actual outcomes in near real time.
This is enabled using Qlik Predict, the native AI capability in Qlik Cloud, allowing fast, scalable model development directly on top of existing data.
The key innovation is not only the prediction, but the automated action layer:

• When actual sick leave exceeds the expected baseline, deviations are detected early
• Qlik Discovery Agents continuously monitor KPIs
• The business is proactively alerted with relevant highlights when metrics start to drift
• HR and operations can intervene before issues escalate and impact performance

This transforms HR analytics from hindsight reporting into forward-looking operational control.
What you’ll take away:

• How to operationalize AI using Qlik Predict on top of existing data foundations
• How to automate monitoring and insights with Discovery Agents
• Turning forecasts into actionable signals within Qlik
• A practical example of moving from insight → action in a real organization

A concrete, high-impact use case—rooted in real demand, built on available data, and designed for immediate business value.