Programme outline
Learning objectives
By the end of the programme, participants will be able to:
- Explain key Artificial Intelligence (AI) concepts and their relevance to business operations and strategy.
- Identify opportunities within business processes where AI can improve efficiency or create value.
- Examine real-world AI applications used by digital platforms such as Grab.
- Apply common AI tools to analyse business scenarios and evaluate potential benefits.
- Develop a preliminary AI business case outlining a problem, AI solution and expected outcomes.
Day 1
- AI Fundamentals for Business
- What AI is and isn’t.
- Why it matters for competitiveness and efficiency.
- Cut through hype. Set realistic expectations.
- Spotting AI Opportunities (Design AI)
- Map your value chain.
- Identify pain points AI can realistically solve.
- Prioritise opportunities based on business value and ROI.
- AI in Practice: Grab Use Cases
- How Grab applies AI across merchants, passengers, and driver-partners.
- Focus on business problems and outcomes, not tech details.
- Overview of common, accessible AI tools.
Day 2
- Hands-On AI Exploration
- Try user-friendly AI tools in a sandbox.
- Compare “before vs after” outcomes.
- Understand costs, limits, and readiness.
- Intro to IMDA CTO-as-a-Service (GenAI Navigator).
- Build Your AI Business Case
- Define a real business problem.
- Propose an AI solution.
- Articulate benefits, risks, resources, and next steps.
- Leave with a first-cut AI business case.
- Assessment & Presentation of your AI Business Case
Assessment
- In-class assignment and project presentation