NP15 Applied AI in Tourism
Please register your email, and you will receive an email with a link to open or download the whitepaper PDF. Registration is free, and we will only use your email to send you notifications of similar future whitepapers.
Why AI?
In the tourism and hospitality industry, AI serves as a catalyst for innovation, responding adeptly to the shifting demands of consumers, optimizing operational processes, and ensuring sustained competitiveness in a dynamic market landscape.
For any professional in this sector, this playbook will get you started on this urgent and inevitable journey. Don’t miss out on the AI revolution – download the paper, read and apply.
YOU WILL LEARN:
- Personalized travel recommendations based on user preferences.
- AI-powered chatbots for efficient customer service and support.
- Dynamic pricing strategies optimizing revenue for accommodations and services.
- Predictive analytics for demand forecasting and resource allocation.
- Image recognition technology enhancing security and traveler identification.
- Virtual reality tours providing immersive experiences to potential visitors.
- Natural language processing for multilingual translation services.
- Sentiment analysis of online reviews to gauge customer satisfaction.
- Smart energy management systems reducing environmental impact.
- AI-driven predictive maintenance for transportation and hospitality infrastructure.
FREE RESOURCES:
SOME FLASHCARDS
(PDF, 24 pages, 10×10)
This PDF captures the main ideas from the paper. Easily shareable on SoMe for a start of an online conversation about AI in your industry.
CHEAT SHEET
(PDF, 2 pages, A4)
This PDF contains the main ideas from the paper, for your easy reference.
USE CASES
(PDF, 16 pages, 4×3)
This PDF contains an overview of the 10 main AI use cases for this industry.
To get started with AI, first do this:
- Invest in AI talent and training to foster innovation and digital literacy.
- Collaborate with AI developers and industry partners to leverage cutting-edge solutions.
- Prioritize data privacy and ethical considerations in AI deployment to build trust and credibility.
- Explore other resources on nextpaper.me and check out the book “Explain for me AI”.
- Please contact us at hello@nextpaper.me for further exploration or inspiration through a talk, workshop or case study. We’d love to help!
Silvija Seres
Mathematician & AI Investor
SILVIJA SERES - Mathematician and AI investor
I have worked with AI for more than 30 years in research, development and strategy. I am very interested in helping companies drive successful digital transformation and AI applications. If you find this interesting, please get in touch on hello@nextpaper.me
Share this PLAYBOOK
