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Course Outline
Foundational AI Concepts in Business Contexts
- Defining AI: Separating common myths from actual capabilities
- Overview of AI types: Machine learning, NLP, and computer vision
- Real-world applications in retail, food service, and fuel stations
Case Study Spotlights
- Retail: Utilizing AI for demand forecasting and inventory automation
- Food Service: Implementing predictive ordering, menu optimization, and smart kiosks
- Fuel Stations: Leveraging personalized promotions and customer analytics
Practical Module 1: Exploring Basic AI Tools
- Applying ChatGPT or similar interfaces for customer support and FAQ management
- Testing basic image classifiers or data prediction models
- Using AI to analyze customer feedback and reviews
Practical Module 2: AI in Business Scenarios
- Workshop simulation: Applying AI strategies in a small retail outlet
- Interactive challenge: Strategies for reducing waste in food service via AI
- Group discussion: Envisioning an AI-enhanced fuel station experience
Strategic Roadmap for AI Adoption
- Starting small: Identifying free tools and accessible services
- Identifying internal champions and pilot areas for AI testing
- Q&A and open floor for final questions
Course Summary and Future Actions
Requirements
- General awareness of digital systems or operational tooling
- A genuine interest in applying AI solutions to business challenges
Target Audience
- Retail management teams and operational staff
- Professionals in food service operations
- Decision-makers and managers in the fuel station business
4 Hours
