Day 1
Module 1: AI Implementation Landscape Overview
1. The evolution from experimentation to enterprise AI maturity
2. Key industry trends in AI adoption across sectors (e.g., finance, healthcare, logistics)
3. Common implementation challenges: data quality, model integration, change resistance
4. The role of cross-functional teams in bridging the gap between strategy and execution
5. Understanding this context ensures participants can position their AI efforts within broader market realities and internal readiness.
Module 2: Understanding AI Technology and Its Lifecycle
1. Define the AI lifecycle and where project leaders fit in
2. Identify AI use case categories and business impacts
3. Understand limitations, dependencies, and system fit
Module 3: Future Trends, Security Automation & AI Governance
1. Predictive Analytics and Deep Learning
2. AI Explainability & Bias
3. Ethical Frameworks (Singapore Model, OECD)
4. Building Trust and Transparency
Module 4: Risk Mitigation, Compliance & Incident Response
1. SME-Specific Compliance (PDPA, CSA)
2. Incident Response Planning
3. Cybersecurity Strategies (backups, detection, containment)
4. AI – Cyber Resilience Workshop or Role Play Exercise Planning
Day 2
Module 5: AI Project Planning and Feasibility
1. Conduct feasibility and risk analysis (technical + operational)
2. Select suitable AI techniques and tools.
3. Define value-based prioritisation.
Module 6: Data Readiness and Management
1. Assess current data maturity and availability.
2. Identify data quality, accessibility, and governance requirements.
3. Plan for sustainable data management and continuous improvement.
Module 7: Data Strategy and Preparation
1. Build a robust data sourcing, cleansing and labelling process.
2. Map data security, governance and usage rights.
Module 8: AI Model Development and Integration
1. Select and validate AI models.
2. Align model output to existing systems and workflows.
Day 3
Module 9: Execution, Monitoring, and Continuous Improvement
1. Execute AI deployments securely and ethically
2. Define KPIs and improvement protocols
Module 10: Workshop Project – Implementation Continuation
Complete the AI Blueprint by integrating technical, strategic, and governance plans into a single implementation guide.
Scenario based Simulation Exercise (AI – Cyber Resilience Workshop)
Simulate real-world cybersecurity challenges that SMEs may face when integrating AI solutions into their business processes.
Course Schedule
Stay tuned! The full event schedule is coming your way soon.
