The Course Content
Day 1: China’s AI & Digital Transformation Landscape
- Evolution of China’s digital economy and AI ecosystem
- National AI strategy and long-term digital vision
- Role of government, private sector, and platforms
- Speed, scale, and execution as competitive advantages
- Comparing China’s digital model with global approaches
- Case study: How China scales digital solutions nationally
Day 2: AI Platforms, Ecosystems & Digital Business Models
- Platform economies and super-app ecosystems
- AI-driven personalization and consumer intelligence
- Digital payments, fintech, and data integration
- Ecosystem partnerships and network effects
- Monetization strategies in AI-enabled platforms
- Case analysis: Platform dominance and competitive advantage
Day 3: Smart Manufacturing, Logistics & Industrial AI
- AI in smart factories and Industry 4.0 (China model)
- Robotics, automation, and predictive maintenance
- AI-powered supply chains and logistics optimization
- Digital twins and real-time operational intelligence
- Integrating AI into legacy industrial environments
- Practical exercise: Designing an AI-enabled operations model
Day 4: Smart Cities, Government AI & Data Governance
- AI applications in smart cities and urban management
- Digital government services and citizen platforms
- AI for traffic, safety, energy, and public services
- Data governance, cybersecurity, and privacy models
- Ethics, surveillance, and trust in AI systems
- Case discussion: Balancing innovation and regulation
Day 5: AI Decision Intelligence & Strategic Integration
- AI-driven decision-making and executive intelligence
- Big data analytics and real-time forecasting
- AI for risk management and scenario planning
- Organizational readiness for AI adoption
- Leadership challenges in AI transformation
- Developing a customized AI & digital action plan
- Course wrap-up and strategic takeaways
