Digital Transformation and Innovation
Programme Outline
Learning Objectives
By the end of this course, participants should be able to / can expect to:
- Understand the impact of digital transformation, industrial revolution 4.0 and its contributing technologies, with ability to discuss implications of an exciting digital future.
- Understand platform design for business innovation in new digital economy.
- Perform gap assessment and strategy formulation to create new business innovation models and strategy for digital transformation.
Day 1
- Fourth Industrial Revolution – its impact to business and government
- Digital Future – Exponential growth of computing
- Strategic technology trends
- Artificial intelligence – its impact to digital transformation
- Blockchain – borderless finance and other applications
- Data, privacy and security
- Digital transformation and future predictions
Day 2
- Digitisation, Digitalisation and Digital Transformation
- New business models and platforms for innovation and digital transformation
- Digital business model framework
- Stages of digital maturity
- Digital maturity assessment
- Vertical and Horizontal integration
- Integrated digital eco-system provider
Day 3
- Industry 4.0 framework and design
- Data at the core and cloud adoption
- Innovation ambition matrix for strategy formulation
- Process optimisation vs business model transformation
- Digital business innovation and strategy design
- Project costing and prioritisation
- Digital transformation and innovation blueprint
Day 4
- Digital blueprint implementation
- Digital leadership and success factors of digital transformation
- HR, talent management, outsourcing and in-demand skills
- Group project introduction and team forming
- Lesson review and project structure
- Group project design
- Team discussion
Day 5
- Project Presentation by Teams
- Assessment
Assessment
- Short quizzes at the end of each class
- Class assignment from curating of data and to final presentation
Subject Credits
Upon completion and satisfying the requirements of passing this course, learners will be awarded 12 subject credits.
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