Aviation, Airports and AI (the other AAAi)
- Date
- 2026-01-26
- Location
- QR will be emailed on Sunday night for entry to building Level 5. Turnstile will indicate assigned lift. Please approach reception to be guided to event venue., Singapore, Singapore, Singapore
- Host
- AAx
About this event
Aviation is under pressure to become smarter, safer, faster, and more resilient, and AI is rapidly moving from theory into real operational decision-making. This event brings together people who care about what that shift actually means for airports, airlines, aerospace systems, and the broader aviation ecosystem, with a practical lens on where AI and autonomy are already changing the game. About the Event This is an in-person gathering for people working at the intersection of aviation, airports, aerospace, AI, and autonomy. The focus is on real-world discussion: how intelligent systems are being applied across aviation environments, what opportunities are emerging, and where the hard constraints still are. Rather than treating AI as a generic trend, the event is framed around a specific industry context: complex operations, safety-critical systems, infrastructure constraints, human oversight, and high reliability. That makes the conversation especially relevant for anyone thinking seriously about deployment, operations, policy, product, or strategy in aviation. You can expect a community-oriented format designed to surface useful perspectives from different parts of the ecosystem. Whether your interest is airport operations, autonomous systems, decision support, airside logistics, passenger flow, maintenance, scheduling, or regulatory implications, this is a space to compare notes with others who understand the stakes. What to Expect The session is built for people who want substance, not hype. Expect discussion grounded in how AI is being used, evaluated, and challenged within aviation settings, including the practical realities of working in environments where reliability and accountability matter. Likely themes include: AI in operational environments such as airports, airside systems, and broader aviation workflows Autonomy and human-in-the-loop systems where automation supports, augments, or reshapes decision-making Infrastructure and deployment questions, including what it takes to move from pilots and prototypes into real usage Risk, trust, and governance in contexts where safety, compliance, and explainability are central Cross-functional perspectives from people thinking about technology, operations, strategy, and ecosystem collaboration Because this is an in-person event, there is also value in the side conversations. Some of the best takeaways often come from comparing how different teams define a problem, where they are seeing traction, and what obstacles are slowing progress. Expect a room where technical curiosity and operational reality meet. You should also come prepared for a discussion that is broader than just model performance. In aviation, the important questions often sit around integration, workflow change, systems interoperability, adoption barriers, and whether a tool can perform consistently in live environments. This event is a chance to engage at that level. Why Attend If you work in this space, you already know that aviation does not adopt new technology in the same way as lighter-weight software industries. The standards are higher, the constraints are real, and the consequences of weak implementation are serious. That is exactly why a focused conversation like this is useful. Attending gives you a clearer view of how others are thinking about the future of AI in aviation and airports right now. You will be able to sharpen your understanding of where AI is genuinely valuable, where autonomy may create leverage, and where caution is still warranted. You may leave with: Better language for explaining AI and autonomy opportunities inside aviation organizations A stronger sense of what problems are worth solving first Insight into operational, organizational, and regulatory considerations New connections with people working on adjacent parts of the aviation stack A more grounded perspective on what near-term adoption can realistically look like This event is especially valuable if you are trying to bridge disciplines. Aviation innovation rarely happens inside a single silo. It depends on engineers, operators, product thinkers, infrastructure teams, policymakers, and founders understanding each other well enough to build systems that can actually work in practice. Practical Details The event takes place in person in Singapore on Monday, January 26 at 2:00 PM GMT+8. If you are planning to attend, this is not a general walk-in venue, so pay attention to the building access instructions in advance. For entry, a QR code will be emailed on Sunday night. You will need that QR code to access the building and proceed to Level 5. The turnstile will indicate your assigned lift, and once you arrive, you should approach reception to be guided to the event venue. A few helpful reminders: Check your email on Sunday night for the access QR code Allow a little extra time for building entry and lift assignment Head to Level 5 once inside Speak with reception if you need direction to the exact event space Because the event is in person, it is worth arriving ready to engage. The setting is well suited for direct conversation, follow-up questions, and the kind of exchanges that are harder to replicate online. If aviation, airports, and AI are central to your work or interests, this is a strong room to be in.
Who should attend
This is for you if you want a sharper, more practical view of how AI and autonomy are being applied across aviation and airport environments. - You work in **aviation, aerospace, or airport operations** and want to understand where AI can meaningfully improve efficiency, safety, planning, or coordination. - You are building or evaluating **AI, machine learning, robotics, or autonomy products** and need industry-grounded insight into what adoption in aviation actually requires. - You sit in **product, strategy, innovation, or transformation roles** and are looking for clearer signals on which use cases are credible, urgent, and worth pursuing. - You are involved in **infrastructure, systems integration, or operational technology** and care about how intelligent tools fit into real workflows, not just demos. - You think about **risk, governance, policy, or regulation** and want to be part of informed conversations about trust, accountability, and deployment in safety-conscious environments. - You are a founder, researcher, operator, or community member who wants to meet others working seriously on the future of aviation, airports, and AI in Singapore.