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Course Outline
Introduction to AI in Everyday Business
- What is AI? Dispelling myths versus reality
- Types of AI: Machine learning, Natural Language Processing (NLP), and computer vision
- Real-world examples across retail, food service, and fuel stations
Highlights from Case Studies
- Retail: AI-driven demand forecasting and inventory automation
- Food Service: Predictive ordering, menu optimization, and smart kiosks
- Fuel Stations: Personalized promotions and customer analytics
Hands-on Module 1: Basic AI Tools
- Utilizing ChatGPT or similar tools for customer service and FAQ management
- Experimenting with a fundamental image classifier or data predictor
- Leveraging AI to analyze customer feedback and reviews
Hands-on Module 2: AI for Business Scenarios
- Workshop simulation: Applying AI in a small retail outlet
- Interactive challenge: Using AI to reduce waste in food service
- Discussion: Conceptualizing an AI-enhanced fuel station
Roadmap to Getting Started with AI
- How to begin on a small scale: Free tools and services
- Identifying internal champions and areas suitable for AI testing
- Q&A and open discussion
Summary and Next Steps
Requirements
- Basic familiarity with digital systems or operational tools
- A strong interest in exploring the practical applications of AI in a business context
Target Audience
- Managers and staff in the retail sector
- Professionals working in food service operations
- Managers and decision-makers in the fuel station industry
4 Hours