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Shaon Talukder

Technology-Led Tourism: Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism: Leveraging AI, Data and Analytics in Travel

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  • Condition: Brand new
  • UK Delivery times: Usually arrives within 2 - 3 working days
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  • More about Technology-Led Tourism: Leveraging AI, Data and Analytics in Travel

Implement AI strategies to optimise performance and deliver stronger customer experiences in tourism.

Technology-Led Tourism
is a practical guide for managers, department heads and industry professionals who want to develop credible strategies for applying AI across the travel sector. It bridges the gap between technology and tourism, offering frameworks you can implement to enhance both operational efficiency and guest engagement.

Written by Shaon Talukder, this book draws on detailed real-world examples from Expedia, Amadeus, Delta Airlines and Airbnb to show how AI principles are already reshaping travel. With insights from adjacent industries such as finance and media, it highlights proven approaches that tourism professionals can adapt to stay competitive.

You'll learn how to:
- Apply AI frameworks to optimize operations and decision-making
- Develop data foundations that enable scalable, reliable innovation
- Implement principles from other industries to strengthen strategy
- Build credibility by applying actionable tools to your own context
- Translate AI opportunities into measurable career and business impact

With clear models, real-world examples, and actionable guidance, Technology-Led Tourism equips mid- to senior-career professionals to implement strategies that not only improve performance but also elevate their role as informed, forward-looking leaders in the industry.

Themes include: AI in tourism, travel strategy, data frameworks, operational efficiency, customer experience, innovation adoption

  • Publication date: 3 September 2026
  • Page count: 256
  • Dimensions: Height 234 mm; Width 156 mm
  • Publisher: Kogan Page Ltd
  • Format: Hardback
  • ISBN-13: 9781398625327

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