Bob Kwik

Bob is the worldwide head of airports for AWS. His role is to support customers on their cloud adoption journey. He has over 20 years of experience in the airport industry. Prior to joining AWS, Bob worked for leading aviation technology companies and held regional and global leadership roles in sales, business development, technical design and product creation. He has lived and worked in Europe and the USA and has traveled extensively.

---

Navigating the AI transformation: opportunities and challenges for airports

This session will explore how airports are adopting artificial intelligence (AI) technologies to optimize operations and enhance the passenger experience. Participants will learn about airports using AI, where the technology is mature with proven benefits, ongoing trials and early-stage projects, and the potential impact of new advances in technology. The session will also address the challenges of AI implementation for airports, including risk management, governance, stakeholder engagement and technology foundation.

The audience will learn:

• Examples of airports successfully implementing AI technologies
• Lessons and insights from real-world airport AI projects
• Understand the key considerations and strategies for overcoming barriers to successful AI implementation in airports

Panel discussion: AI, automation and robotics – the airport is coming alive!

Panel discussion: AI/ML experience in airport operations, accelerating toward total airport management

Discussing what comes next: the outlook on 2nd and 3rd generation AI/ML tools and integrated Total Airport Management (TAM) platforms. Panelists will begin by introducing their previous airports' use cases of AL/ML projects for airport operations, share lessons learned, and the issues that airports today need to consider when assessing system requirements, implementation, and deploying artificial intelligence effectively and responsibly. The panel will discuss the journey ahead to support TAM, future developments and desired outcomes.

The audience will learn:

• The progress about operational AI/ML technology use at airports around the world
• Not all airport systems need to be AI/ML driven at once