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HoReCa5.0 e-Course Navigation Guide (Wizard-like)
1. Effective adoption of Artificial Intelligence in Horeca business
1. Effective adoption of Artificial Intelligence in Horeca business
HoReCa5.0 e-Course Navigation Guide (Wizard-like)
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e-Course Navigation Guide
Module 1: Characterisation of the dynamic HoReCa sector
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Introduction
Unit 1: Introduction to the HoReCa Sector
Unit 2: Operational Challenges in the HoReCa Sector
Unit 3: Technological landscape in the HoReCa operations
Unit 4: Sustainability and the HoReCa Sector
References
Module 1 - Self-assessment
Module 2: Artificial Intelligence - basic principles, data-driven and knowledge representation
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Introduction
Unit 1: Artificial Intelligence Definition and History
Unit 2: Branches of AI
Unit 3: Challenges of implementing AI
References
Module 2 - Self-assessment
Module 3: Ethical use of tools to solve the HoReCa sector challenges
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Introduction
Unit 1: The basic ethical principles and frameworks
Unit 2: Reflect on ethical considerations around the AI use
Unit 3: Understand the factors that influence ethical use
References
Module 3 - Self-assessment
Module 4: Understanding how to effectively use AI tools and how to interpret the results
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Introduction
Unit 1: The importance of technology in the HoReCa sector
Unit 2: Understanding the Problem and Challenge
Unit 3: Implementing the AI solutions
Unit 4: Interpreting the results of tools
References
Module 4 - Self-assessment
Module 5: Contributing to HoReCa sector sustainability goals
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Introduction
Unit 1: Achieving sustainability of the HoReCa sector
Unit 2: The contributions of AI to a selected number of SDGs
References
Module 5 - Self-assessment
Module 6: Demonstrating the business / economic value of AI solutions
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Introduction
Unit 1: Introduction to the economic value of AI solutions
Unit 2: Measuring the return on investment of AI solutions
Unit 3: Communicating the economic value of AI solutions
References
Module 6 - Self-assessment
Module 7 - Future updates on advancements of AI
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Introduction
Unit 1: The evolution of AI in the HORECA sector
Unit 2: Some words on Large Language Models (LLMS)
Unit 3: Transferability of the HoReCa5.0 Course
Unit 4: Request for contributions
References
Simulation Scenarios
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Introduction
Air Quality Estimation (CO2) - Theoretical framework
Air Quality Estimation (CO2) - Hands-On Example
Air Quality Estimation (CO2) - Conclusion
Food Waste management - Theoretical framework
Food waste management - Hands-On Example
Food waste management - Conclusion
Sales Forecasting - Theoretical framework
Sales Forecasting - Hands-On Example
Sales Forecasting - Conclusion
Thermal Comfort estimation - Theoretical framework
Thermal Comfort estimation - Hands-On Example
Thermal Comfort estimation - Conclusion
Human Resource management - Theoretical framework
Human Resource management - Hands-On Example
Human Resource management - Conclusion
Personalized Customer Experience - Theoretical framework
Personalized Customer Experience - Hands-On Example
Personalized Customer Experience - Conclusion
HoReCa5.0 e-Course Navigation Guide (Wizard-like)
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English
Greek
Bulgarian
Dutch
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