AI-Day 2026 – Speakers

Tobias Carlén, CTO, Axess Logistics

Tobias is the CTO for Axess Logistics since 2018.

He developed his first commercial IT system in 1981 and has co-founded two startups.

His background includes many years of management consulting with Arthur D. Little and later with his own company. Tobias interest in AI started in the 1980s, when his father was head of Expert systems development for Volvo cars.

Current projects include combined Load/Route optimization for FVL Transport, Automated emissions reporting, and work process optimization with computer support. He uses AI Agent intensely for a lot of things; but as you will find – not for everything.

Patrick Gebert, Head of AI-Solutions, ETECTURE

Patrick Gebert is Head of AI-Solutions at ETECTURE and an experienced Data Scientist with over seven years of building software solutions across industries including logistics and automotive. He studied at the Karlsruhe Institute of Technology (KIT), where he developed a strong foundation in Machine Learning and Artificial Intelligence. In his current role, he leads the development of intelligent, data-driven solutions that bring cutting-edge AI capabilities into practical business applications.

Karsten Horn, Senior Manager, INFORM

With more than 25 years of experience in IT and logistics, Karsten understands that digital transformation is an ongoing journey. As Senior Manager at INFORM, a global leader in optimization software for vehicle logistics, he works closely with customers to design tailored, AI-driven solutions that address complex logistics challenges. Known for his collaborative approach and clear communication, Karsten builds lasting partnerships and helps drive efficiency, resilience, and smart decision-making in vehicle logistics.

Dr. Maximilian Zipfl, Software Engineer AI, ETECTURE

Maximilian Zipfl is a software engineer and consultant specializing in Machine Learning and Artificial Intelligence at ETECTURE. He holds a PhD in Graph Neural Networks and previously conducted research on the safety validation of autonomous driving at the FZI Research Center for Computer Science. In his current role, he focuses on the practical integration of AI methods into custom software solutions, bridging academic approaches with real-world applications.