Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm
Leveraging Ai, Data and Analytics in Travel
Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-3986-2530-3
Verlag: Kogan Page
The travel industry stands at a crucial moment, where artificial intelligence promises to transform how we explore, experience and manage tourism. Yet amidst this technological revolution, many travel organizations struggle to harness AI's true potential.
Technology-Led Tourism presents a groundbreaking exploration of how AI is reshaping the global travel landscape. The author bridges the gap between technology and tourism, offering an in-depth analysis of why some sectors have successfully leveraged AI, while travel has lagged behind. Through compelling real-world examples from industry pioneers like Expedia, Amadeus, Delta Airlines and Airbnb, Shaon Talukder reveals how AI is revolutionizing everything from personalized trip planning to predictive analytics.
Drawing from successful AI implementations in financial services, advertising and creative media, Technology-Led Tourism provides practical frameworks for building resilient data foundations and leveraging AI to enhance both operational efficiency and customer experiences. Whether you're a tourism professional or industry leader, this book offers mid to senior level professional with essential insights for navigating-and thriving in-the AI-driven future of travel.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Dienstleistungssektor & Branchen Tourismuswirtschaft, Gastgewerbe
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
Weitere Infos & Material
Chapter - 01: Introduction: The journey to AI-enhanced travel; Chapter - 02: Personalisation and AI; Chapter - 03: Harnessing Generative AI to Produce and Personalise Content; Chapter - 04: Understanding Visits in a New Data Era; Chapter - 05: Making Travel Seamless; Chapter - 06: Building Resilient Data Foundations for the Industry; Chapter - 07: Attribution is the Holy Grail of Travel; Chapter - 08: Dynamic Pricing and Smart Revenue Management; Chapter - 09: Predictive Analytics in Travel Planning; Chapter - 10: Automation in Operations: From check-ins to chatbots; Chapter - 11: Customer Support in Real-Time: AI to the rescue; Chapter - 12: The Future of AI in Travel: Beyond borders; Chapter - 13: Sustainability: How do we harness the potential of AI to solve environmental challenges; Chapter - 14: Conclusion: Embracing AI without losing the human touch;