Discussion: Module 1 – AIML-August-2026

[Carolin]

Hello everyone,

For this discovery exercise, I chose three resources that examine artificial intelligence and machine learning in hospitality from diverse angles: industry progress, real-world technology use, and professional studies.

1. Hospitality Net – AI in Hospitality

Website: Hospitality Net

Hospitality Net is an independent platform dedicated to the hospitality sector, offering news, reports, expert panels, podcasts, and opinion pieces. It is especially valuable because it consistently features AI topics such as chatbots, personalization, robotic services, revenue management, demand forecasting, and data-driven hotel operations.

I appreciate that the site presents perspectives from hospitality executives, technology specialists, researchers, and consultants. This makes it possible to compare different viewpoints rather than relying on a single company’s claims. For my interests in tourism and sustainability, the site also raises important questions about whether AI can help businesses reduce waste, better manage resources, understand visitor behavior, and improve the guest experience without eliminating the human side of hospitality.

2. Oracle Hospitality

Website: Oracle Hospitality

Oracle Hospitality showcases the integration of AI and machine learning into real hotel management systems. Its resources describe how these technologies predict demand, analyze guest data, customize offers, automate certain tasks, and recommend suitable upgrades or services to guests at optimal moments. This information clarified the distinction between generative AI, which can create text and engage with guests, and predictive machine learning, which analyzes historical booking trends, preferences, and market conditions to aid forecasting and decision-making. Since Oracle promotes its own products, I recommend cautiously evaluating its performance claims. Nonetheless, the site offers useful examples of AI advancing from concept to daily hospitality operational use.

3. HSMAI Foundation Hospitality Research

Website: HSMAI Foundation Research

The Hospitality Sales and Marketing Association International Foundation offers specialized research, reports, case studies, and guidance within the hospitality sector. Its latest resources explore how generative AI is impacting hotel sales, marketing, revenue management, employee development, recruitment, and talent management. I value this source because it emphasizes both people and technology. Adopting AI isn’t just about acquiring new software; it also involves employee training, responsible leadership, data literacy, and thoughtful decisions about which tasks humans should handle. This aligns with my interest in ethical and sustainable tourism. Technology should support staff and guests, not reduce hospitality to an automated process. These resources illustrate that AI and machine learning are already shaping the entire hospitality experience, spanning travel planning, reservations, and pricing, as well as guest communication, hotel operations, and post-stay feedback. They also highlight that successful implementation involves more than just technical skills. Hospitality organizations need to focus on data quality, privacy, transparency, employee preparedness, accessibility, and maintaining meaningful human interactions.

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[Adetokunbo]

Hello colleagues,

THREE VALUABLE WEBSITES FOR UNDERSTANDING AI AND MACHINE LEARNING IN HOSPITALITY

As a student of Advanced Hospitality Technology, I am interested in how Artificial Intelligence{AI}

and Machine Learning {ML} can be applied to improve hotel operations, guest experiences, revenue management, and decision making. The following three websites provide valuable insights into these applications

1. Hotel TechReport………..AI in Hospitality

Website : Hotel TechReport…….AI in Hospitality.

i find Hotel TechReport valuable because it focuses specifically on technology used in the hotel industry .Its information on Ai helps me understand practical applications such as demand forecasting, dynamic pricing , guest communication., marketing, and hotel operations. This source enhances my understanding of how AI and Machine Learning can help hospitality managers make data driven decisions while improving efficiency and the guest experiences

2. Cloudbeds……..Hotel AI.

Website………..Cloudbeds…….Hotel AI.

Cloudbeds is valuable because it demonstrate how AI can be integrated into different areas of hotel management .Its resource discusses applications including personalized guests ,communication ,predictive analytics, revenue forecasting ,sentiment analysis, and operational decision making. Studying these applications help me understand how machine learning can analyze large amount of hospitality data, identify patterns and provide information that managers can use to provide profitability and customer satisfaction,

3. .Hospitality Net……Artificial Intelligence In Hotel Technology.

Website………….Hospital Net………Artificial Intelligence In Hotel Technology

Hospitality Net is particularly useful because it connects AI concepts directly to current hotel industry practices. It provides insights into technologies such as chatbots, digital concierges, personalization, and revenue optimization. This source helps me understands how AI can support both front office guest experience and the back office management and operational function of a hotel

CONCLUSION.

These three websites have enhanced my understanding of AI and Machine Learning by showing me that these technologies are not only theoretical concepts but practical tools that can transform the hospitality industry This demonstrates how AI can help hotels personalize guest services, forecast demand, optimize revenue, improve operational efficiency, and support better management decisions..

.

[Adetokunbo]

CASE STUDY………………Social Media Event Planner

I chose to study Social Media Event planning because social media has become an essential tool in the hospitality industry for promoting events, attracting guests, and creating memorable experiences.

I want to understand how platforms such as Instagram, Facebook, TikTok, and LinkedIn, can be used effectively to market hospitality events and engage customers. This study will help me develop practical skills in digital marketing, event promotion, customer engagement, and the use of emerging technologies. I believe combining hospitality management with social media and Ai skills will enhance my ability to contribute effectively to the modern hospitality industry.