The presentation offers insight into how Avinor established data and AI, not solely by relying on standard frameworks but by adapting its enterprise architecture to meet future needs. The organization values learning and innovation by piloting and testing AI technologies to stay prepared for current and future challenges. We outline Avinor's data and AI structure, highlighting ambitions, drivers and objectives, with an emphasis on value creation. We review our target vision and approach to achieving this vision. Finally, we present practical use cases we have tested and validated, illustrating how our exploration of data and AI delivers significant business value.

• The role of data and AI in an aviation organization and its significance for technology strategy implementation.
• How to structure work with data and AI in an aviation organization, establishing ambitions, drives and objectives with a focus on business value
• Relevant principles, roles and service areas within data and AI to help translate strategic goals into concrete initiatives
• Practical applications of data and AI in aviation
• Key takeaways of focusing on data and AI to continue evolving with the business areas and enhance technology decision-making