Programme outline
Learning objectives
By the end of the course, participants will be able to:
- Apply Lean Six Sigma and Define, Measure, Analyse, Improve, and Control (DMAIC) methodologies to structure end-to-end problem definition, analysis, and improvement
- Evaluate the role of Artificial Intelligence (AI) in business improvement, distinguishing between analytical, decision-support, and productivity applications
- Apply structured problem framing and root cause analysis, ensuring solutions address underlying drivers rather than symptoms
- Design and communicate AI-enabled improvement initiatives with clarity, credibility, and measurable operational impact
Day 1
- Background for AI-enabled Business Improvement
- Methodology Overview and Innovation Tools
- AI as an Analytical Tool
- AI as an Analytical Tool (Activity)
- Case Study & Presentation
- Wrap-up & Instructions for Project work
Day 2
- AI as a Productive Tool
- AI in the Wild – Industrial Use Cases
- Project Discussion & Preparation
- Project Presentations and Questions
- Wrap up & Conclusion
- Assessment
Assessment
- Project Assignment & Presentation