Industry Primer for Travel and Hospitality: Technology, Innovation, and AI
2h 8mBeginner2026-07-27
Authors
Starweaver
Course details
Get a working knowledge of the technology stack behind travel and hospitality, from the core systems that run bookings and operations to the AI use cases now shaping pricing and guest experience.
This course begins with the core systems, including reservation and booking, property and inventory, revenue and yield, loyalty and CRM, and payments. See how cloud adoption, workflow automation, and unified customer data platforms are modernizing them under always-on availability and peak-demand pressure. Move on to AI: dynamic pricing, personalization, service automation, generative interfaces. Look at where it delivers and where it fails, and how governance protects fairness and customer trust. Finish with the consulting opportunities across AI strategy, technology modernization, data, and automation.
This course begins with the core systems, including reservation and booking, property and inventory, revenue and yield, loyalty and CRM, and payments. See how cloud adoption, workflow automation, and unified customer data platforms are modernizing them under always-on availability and peak-demand pressure. Move on to AI: dynamic pricing, personalization, service automation, generative interfaces. Look at where it delivers and where it fails, and how governance protects fairness and customer trust. Finish with the consulting opportunities across AI strategy, technology modernization, data, and automation.
Concepts
Introduction
- Getting started
Technology Landscape Overview
- Core systems and the industry tech stack, part 1
- Core systems and the industry tech stack, part 2
- Infrastructure and security considerations, part 1
- Infrastructure and security considerations, part 2
- Emerging technology trends and adoption patterns
Digital Transformation Trends
- Cloud, automation, and the role of data, part 1
- Cloud, automation, and the role of data, part 2
- Transformation challenges and customer experience
AI and Advanced Analytics in the Industry
- Decision intelligence and AI maturity, part 1
- Decision intelligence and AI maturity, part 2
- AI use cases and associated risks, part 1
- AI use cases and associated risks, part 2
Innovation and Emerging Technologies
- Emerging technologies and innovation models, part 1
- Emerging technologies and innovation models, part 2
- Platform shifts and ecosystem change
Technology Challenges and Risks
- Legacy constraints and data quality
- Security, compliance, and change management
Consulting Opportunities in Tech and AI
- AI strategy and technology modernization, part 1
- AI strategy and technology modernization, part 2
- Data strategy and automation initiatives, part 1
- Data strategy and automation initiatives, part 2
Conclusion
- Course wrap-up