Students will learn to use digital technologies to create new or modify existing businesses.

Lectures

Contents

1. Introduction
2. Phases of Digital Transformation
3. Strategy
4. IR4
5. Disruption
6. Technology Disruption
7. Surviving Disruption
8. Online Business Models
9. AI Introduction
10. AI Products
11. Blockchain
12. Big Data
13. Cloud Computing
14. Edge Computing
15. Internet of Things
16. Mobile Computing
17. Reality Technologies

Case Studies by Harvard Business Review Press

1. Discovery-Driven Digital Transformation by Rita McGrath and Ryan McManus
2. The Transformative Business Model by Stelios Kavadias, Kostas Ladas, and Christoph Loch
3. Digital Doesn’t Have to Be Disruptive by Nathan Furr and Andrew Shipilov

Prompts for ChatGPT

1. Guidelines
2. Iterative
3. Summarizing
4. Inferring
5. Transforming

Project Suggestions

• Cloud Computing in Digital Transformation
• Big Data Analytics for Business Transformation
• Internet of Things (IoT) in Industry 4.0
• Artificial Intelligence (AI) and Chatbots in Customer Experience Transformation
• Cybersecurity and Digital Transformation
• Digital Twin Technology for Digital Transformation
• Social Media Analytics for Business
• Remote Work Infrastructure Optimization
• Data Governance and Digital Transformation
• Blockchain for Supply Chain Transformation
• Smart Cities and Public Services
• Telemedicine and Healthcare Transformation
• Digital Transformation in Agriculture (AgriTech)
• Cybersecurity in Digital Transformation
• Personalized Education through Machine Learning
• Voice Assistants in E-commerce
• Sustainable Digital Transformation
• Blockchain for Digital Identity
• Digital Watermarking for Content Protection
• Machine Learning in Predictive Maintenance
• Data Lakes and Big Data Analytics
• Edge Computing in IoT
• Natural Language Query for Databases
• Data-driven Marketing Strategies
• Biometric Authentication in Banking
• Low-code Development Platforms
• Ethical Considerations in AI-Driven Decision Making
• Smart Grids and Energy Efficiency
• Retail Analytics and Consumer Behavior
• Nanotechnology in Digital Health

Guidelines for Projects / Presentations

• Please see the examples below to structure the project and presentation.
• Topic: Cloud Computing in Digital Transformation
  • Technology Aspect: Explore cloud computing technologies (e.g., AWS, Azure, Google Cloud) and their role in enabling digital transformation.
  • Business Problem: Analyze the challenges and opportunities businesses face when migrating to the cloud.
  • CEO Perspective: Discuss the strategic considerations and cost-efficiency benefits of adopting cloud solutions for digital transformation.
• Topic: Big Data Analytics for Business Transformation
  • Technology Aspect: Investigate big data analytics tools and techniques (e.g., Hadoop, Tableau) and how they support data-driven decision-making.
  • Business Problem: Examine data integration and privacy challenges that organizations encounter during digital transformation.
  • CEO Perspective: Emphasize the potential for improved customer insights and competitive advantage through effective big data strategies.
• Topic: Internet of Things (IoT) in Industry 4.0
  • Technology Aspect: Explore IoT sensors, devices, and protocols and their role in Industry 4.0.
  • Business Problem: Assess security and scalability issues when deploying IoT solutions in manufacturing and other industries.
  • CEO Perspective: Highlight the transformative impact of IoT on supply chain efficiency and real-time decision-making.
• Topic: Artificial Intelligence (AI) and Chatbots in Customer Experience Transformation
  • Technology Aspect: Investigate AI technologies, including natural language processing, and their application in creating chatbots and virtual assistants.
  • Business Problem: Examine the challenges of designing chatbots that provide seamless customer support and improve user experiences.
  • CEO Perspective: Discuss the potential for increased customer satisfaction and cost savings through AI-driven customer service.
• Topic: Cybersecurity and Digital Transformation
  • Technology Aspect: Explore cybersecurity technologies and strategies (e.g., encryption, threat detection) for protecting digital assets.
  • Business Problem: Analyze the evolving cybersecurity threats and risks that organizations face during digital transformation initiatives.
  • CEO Perspective: Stress the importance of robust cybersecurity measures in safeguarding customer trust and maintaining business continuity.

Assessment

• Examination: 30%
• Coursework: 70%
  • Two Class Tests (30%)
  • Two Class Quizzes (10%)
  • One Oral Presentation (15%)
  • One Project (15%)

Recommended Books/Resources

• Digital Transformation Handbook: An agile approach to maximise value, John Palfreyman

Academic Calendar

Venue

• CLT 1.11: Wednesday 7:50 AM - 9:40 AM
• CLT 1.17: Friday 7:50 AM - 9:40 AM