✎ New Chat
⌖ Search Chat
ℹ︎ PATA Report
✦ Online Course
Notebooks
—————————————
Disclaimer
The content on this page are 100% from our experts and their great minds.
Consume with reassurance that these information are accurate and fact-checked.
Where do we begin?
“Digital Agenda and Artificial Intelligence to Redesign Tourism“
Welcome! This page gathers expert perspectives from across the travel sector to answer our biggest questions about AI in this people-centric industry. Explore our topics below to build your own verdict on AI.
This page discusses 5 key topics:
AI & Consumer Travel Planning Behaviour: How is consumer using AI to plan their trips? How should businesses & destinations adapt?
AI & DMO: What changes should destination management organisations make to catch up with AI era?
AI & Sustainability: Can AI be used for good things that’s not just business optimisation?
AI & Tourism Workforce: Is AI really going to takeover this people-centric industry? How should the workforce prepare themselves?
Click on the topic above or the notebooks in the chat panel to invite the experts to the chat. ➡️
✎ New Chat
⌖ Search Chat
ℹ︎ PATA Report
✦ Online Course
Notebooks
Meet the Experts
Recents
—————————————
Disclaimer
The content on this page are 100% from our experts and their great minds.
Consume with reassurance that these information are accurate and fact-checked.
Starting a conversation on A Future with AI…
Matt Gibson, UpThink
Choosing The Right Model
It’s often the case that the sustainable choice is also the economical choice, which is certainly true in the case of AI use.
Matching the right model to each task is incredibly effective. LLMs have not only become more powerful in the past few years, but they’ve also become much more efficient. You can now run a model equivalent to ChatGPT 3.5 (the first popular LLM) on a smartphone. Choosing lightweight models for light work reduces your resource consumption (and AI bills) by orders of magnitude.
Prompt Caching
Caching is the practice of preventing the repeated sending of instructions and context to the LLM to be reprocessed over and over. Your brand guidelines, destination fact sheet, and standing instructions are identical on every request, and reprocessing them is unnecessary. Caching can cut input-token costs by up to 90% and latency by up to 80%. For a small team running a chatbot or content pipeline on the same house style all day, this is the biggest saving available for the least work.
Sarah Mathews, E-Tourism Frontiers
The clearest opportunity is in process. AI and automation should be taking on data crunching, scheduling, reporting and the administrative load. Check-in is the obvious example: most guests book online, then arrive to fill in a paper form when the information is already there. Translation is the other immediate gain, putting local-language content into English at a cost smaller operators can finally afford.
The risk is trust. We saw during COVID how quickly fabricated content fills a vacuum, and if travellers stop believing what they see, the whole sector pays.
It is worth noting who is raising the alarm. Anthropic's own alignment lead, Evan Hubinger, recently put the chance of AI killing all humans within the next decade at more than ten per cent, while making clear his concern is future superintelligence rather than the tools we use today. When the people building this technology talk in those terms, governments cannot delay. The guardrails need to go in now.
AI is a tool, and it should not displace the wider framework for marketing and managing a destination. With climate impacts intensifying, as Nepal has shown so painfully, accuracy matters more than ever.
Jessie McComb, ADB
Many destinations and businesses are well aware of the opportunities AI offers and have been using these even before AI was a topic of household conversation. And as AI develops, it’s able to offer even more and better tools for operational efficiency in areas like dynamic pricing, inventory management, and marketing. However, for businesses and destinations to take advantage of these advances, they still need to have basic operational, management, and digital literacy. They need to know how to best use these tools to inform their business decisions.
Additionally, the AI marketplace is now crowded. Many businesses struggle to determine which tools are best for them and how to use them. Savvy businesses are able to sort through this flood of options and hone in on tools that can deliver what they need at a reasonable cost and effort level. But, AI does not erase the digital divide, and the expansion of AI can actually widen the gap.