Archives: Agenda
Panel Discussion: Who Pays, Who Gains? The Real Economics of Hotel Tech Innovation
- Follow the money: Owners, operators, brands, and investors — who should pay for new tech?
- Can solutions really plug into CRS/PMS ecosystems without disruption?
- If a tool boosts guest experience but drains owner budgets, is it worth it?
- Future Models: Co-investment, revenue-share, or brand-led mandates — what’s next?
Moderator: Ted Horner, Owner, E Horner & Associates
Business meeting 2
Business Meetings 1
Networking Break
Panel Discussion: Labour Economics — Where Automation Helps Most
- Can tech reduce staff shortages or does it just shift pressure?
- How is automation freeing up time for high-value tasks and augmenting services?
- Best practices from operators using staff tech
- Robots – what can they do for you?
Moderator: Ted Horner, Owner, E Horner & Associates
More Panelists TBC
Business Meetings 1
Fireside Chat: Meeting Client Expectation for Eco by Design – How Smart Systems and Digital Innovation Are Powering Greener Hotels?
- Embedding sustainability into hotel infrastructure while maintaining or enhancing the guest experience
- Waste, water, and energy: What smart solutions are leading the way?
- Using digital tools to monitor, manage, and communicate sustainability initiatives to guests
Moderator: Nicholas Wyatt, Head of R&A – Travel & Tourism, GlobalData
Panel Discussion: AI in hospitality —Turbocharger for Guest Interaction? Or Efficiency Finder for Back-Office Tasks?
- Practical and concrete ideas of how to implement AI for efficiency
- How to evaluate and prioritize investments
- The payback period: what owners and operators want to see
- Case studies: implementing AI into hotels today
Moderator: Nicholas Wyatt
Senior Representative, Gauvendi
Presentation and Fireside Chat: Effective AI Implementation: What hotels can learn from other industries
- Exploring rate of AI adoption by hoteliers and current use cases
- Understanding why AI adoption in lodging struggles compared to other adjacent industries
- Examining relevant lodging-adjacent industry AI use cases, and where hoteliers can learn from said use case