AI in travel and hospitality
AI in travel and hospitality: dynamic pricing and revenue management, demand forecasting, personalization and service, and operations.
AI is reshaping travel and hospitality across pricing, personalization, operations and guest service, but hype often outpaces실 delivery. This block builds sector-specific fluency: how core AI concepts (machine learning, NLP, computer vision, recommendation engines) map onto reservation systems, dynamic pricing, demand forecasting, chatbots and personalization engines. You will learn where AI genuinely creates value across the value chain, from revenue management to guest experience to back-office operations, and how to evaluate vendor claims with rigor. You will also examine the regulatory landscape, model risks specific to travel data, and practical guardrails to run before any deployment. The goal is sector fluency for evaluating, commissioning and overseeing AI initiatives, not becoming a technical practitioner.
Ce que vous allez maîtriser
- Explain core AI concepts using travel and hospitality examples such as dynamic pricing, demand forecasting and guest personalization
- Identify and prioritize high-value AI use cases across the sector's value chain, from revenue management to guest services to operations
- Critically evaluate AI vendor solutions and pilot proposals, distinguishing realistic ROI from inflated claims
- Apply a governance checklist to assess model risk, bias and compliance before approving an AI deployment in a travel or hospitality context