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HR Tech 2026 Agenda

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AI Lab: Reimagining Internal Mobility with Responsible AI

22 Apr 2026
AI Lab
AI Labs
Join us for an interactive AI Lab experience exploring how next-generation AI is transforming internal mobility and workforce planning in real time. In this hands-on session, you’ll experience how intelligent talent matching, skills intelligence, and career pathing come together to create a more agile, data-driven workforce.

Through live scenarios and guided exploration, you’ll see how AI can:


Power fair, explainable talent matching using advanced algorithms and skills data
Surface hidden talent across internal and external pools to accelerate hiring and reduce recruiting costs
Personalize career pathways with skill-gap insights and targeted learning recommendations
Turn workforce data into actionable mobility and retention strategies


Rather than a traditional product demo, this lab is designed to let you experience what’s possible when responsible AI is embedded directly into everyday HR workflows. You’ll explore how these capabilities integrate with existing HR systems to streamline decision-making, improve employee experience, and support workforce planning at scale.

Why attend?

Walk away with practical insight into how AI-powered internal mobility can deliver measurable impact quickly — from faster talent deployment to improved retention — without the long implementation and training cycles typical of legacy HR platforms.
Speakers
Fatma Turunc, Product Manager - WCC Group
Jan Jensen, Chief Executive Officer - WCC Group

Topic

AI Automation & Agentic Systems

Learning Objective 1:

Recognize the role of AI in creating fair and transparent hiring processes and how to apply these principles in your organization.

Learning Objective 2:

Identify practical methods to improve internal mobility and workforce planning using data-driven insights.

Learning Objective 3:

Understand how to start talent optimization for workforce planning to improve retention and employee experience for the workforce long-term planning