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American Matech

Artificial Intelligence (AI) and Automation in Hospitality

Course Information

  • the date

17/02/2025

  • Duration

5 days

  • The city

London

  • Cost
  • Type

in-house

Course details

The Artificial Intelligence (AI) and Automation in Hospitality course provides a thorough introduction to the growing role of AI in transforming hospitality operations and customer experiences. As AI continues to reshape various industries, this course focuses on the specific applications of AI within hospitality, including how it can enhance customer service, streamline operations, and improve decision-making processes. Participants will explore key AI technologies such as machine learning, natural language processing (NLP), and automation, as well as the tools and platforms that enable these innovations.

Throughout the course, attendees will learn how to implement AI solutions in areas such as customer service, resource allocation, and operations management, while also addressing the challenges of data management, privacy, and security. The course will conclude with a discussion on future AI trends and ethical considerations, equipping participants with the knowledge needed to integrate AI strategies into their hospitality businesses.

عند الانتهاء من هذه الدورة، سيتمكن المشاركون من:

فهم أساسيات الذكاء الاصطناعي والأتمتة وتأثيرها على صناعة الضيافة
وصف تطبيقات الذكاء الاصطناعي لتحسين تجربة العملاء وتقديم خدمات مخصصة
تطبيق الذكاء الاصطناعي والأتمتة لتبسيط عمليات الضيافة وتحسين الكفاءة
تحديد أنواع ومصادر البيانات المطلوبة لاتخاذ قرارات مستنيرة باستخدام الذكاء الاصطناعي
جمع وتحليل وإدارة بيانات الضيوف والضيافة بشكل فعال
فهم الاعتبارات الأخلاقية والقانونية لنشر الذكاء الاصطناعي والقضايا المتعلقة بالخصوصية وحماية البيانات
وضع خطة استراتيجية لدمج تقنيات الذكاء الاصطناعي في أعمال الضيافة

تم تصميم هذه الدورة التدريبية لمحترفي الضيافة وقادة الأعمال الذين يتطلعون إلى فهم وتنفيذ تقنيات الذكاء الاصطناعي والأتمتة في عملياتهم. وهي مثالية لـ:

المديرين العامين والمديرين التنفيذيين
محترفي تكنولوجيا المعلومات في صناعة الضيافة
مديري العمليات
مديري خدمة العملاء
رواد الأعمال والمبتكرين في مجال الضيافة
مدربي ومعلمي الضيافة
المستشارين والمحللين

Course outline

Day 1

Introduction to AI and Hospitality

  • Definition of AI and its related concepts
  • Discussing the historical evaluation of AI in hospitality
  • Overview of AI applications in hospitality
  • Exploring AI technologies:
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Neural Networks
  • Algorithms
  • Overview of AI tools and platforms
  • Group Discussion: Opportunities and challenges of AI in hospitality

Day 2

AI in Customer Experience

 

  • Overview of the applications and usage of AI in customer experience
  • Utilizing chatbots and virtual assistants to answer customer inquiries
  • Utilizing AI for personalized recommendations and services
  • Exploring the applications of augmented and virtual reality in hospitality
  • Case Study: Implementation of AI in customer experience
  • Activity: Examining chatbots of a hotel or other establishment

Day 3

AI in Operations Management

 

  • Overview of the applications and usage of AI in operations and management
  • Identify the impact of AI on operational efficiency
  • How to use predictive analytics for demand forecasting?
  • Utilizing AI algorithms for resource allocation and scheduling
  • Exploring the applications of automation and robotics in hospitality
  • Case Study: Analyzing the role of AI in various hospitality operations

Day 4

Data Management and Security

 

  • Determining the significance of data in decision-making and AI applications
  • Exploring types and sources of data in hospitality
  • Methods for collecting and analyzing guest data
  • Techniques for data management in hospitality
  • Best practices for maintaining data quality in
  • Activity: Draft a data management plan for AI applications in hospitality

Day 5

Future Trends and Ethical Considerations

 

  • Discussing main issues and problems in AI models
  • Understanding the significance of data privacy and security
  • Ethical and legal regulations in data collection and AI deployment
  • Determining the significance of communicating AI strategy with stakeholders and terms
  • Describing long-term strategies for integrating AI into hospitality
  • Discussing emerging technologies and their impact on hospitality
  • Recap and Course Evaluation

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