8‑Session Program Agenda

(AI & Robotics Webinar Series)

Industries: Education • Services • Healthcare

Duration: June 21 – Aug 16, 2026 | 2:00 PM – 4:15 PM (Vietnam Time)

 

SESSION 1

AI & Robotics Landscape 2026: Global Trends & Vietnam Outlook
Focus: Foundational understanding for leaders
Industries: Education, Services, Healthcare

Key Topics:
• Global AI & Robotics breakthroughs (2024–2026) and their implications
• Vietnam’s national AI strategy & workforce readiness
• How AI is reshaping organizational competitiveness
• Case studies: AI adoption in schools, hospitals, and service enterprises
Outcome: Participants gain a strategic overview to guide the next 7 sessions.
        
SESSION 2

Generative AI for Knowledge Work & Digital Transformation
Focus: Productivity, automation, and decision support
Industries: Education, Services, Healthcare

Key Topics:
• GenAI for curriculum design, lesson planning, and student analytics
• AI copilots for service operations, customer experience, and workflow automation
• Clinical documentation automation, triage support, and medical summarization
• Ethical use, data governance, and risk mitigation
Outcome: Leaders understand how to deploy GenAI responsibly and at scale.
        
SESSION 3

Robotics & Intelligent Automation
Focus: Physical automation and human‑robot collaboration
Industries: Education, Services, Healthcare

Key Topics:
• Types of robots: service robots, social robots, surgical robots, warehouse robots
• Robotics in classrooms: STEM labs, teaching assistants, simulation tools
• Hospitality & retail robots for service delivery
• Healthcare robotics: rehabilitation robots, surgical robotics, elder‑care robots
• ROI frameworks for robotics investment
Outcome: Participants learn where robotics creates the highest value.
        
SESSION 4

Data, Machine Learning & Predictive Analytics
Focus: Data-driven decision making
Industries: Education, Services, Healthcare

Key Topics:
• Building a data foundation: collection, labeling, governance
• Predictive analytics for student performance, customer behavior, and patient outcomes
• ML models for forecasting demand, staffing, and resource allocation
• Tools for non-technical managers
Outcome: Leaders gain practical understanding of ML applications and KPIs.
        
SESSION 5

AI in Education: Smart Learning Systems & Personalized Instruction
Focus: Deep dive into the education sector
Key Topics:
• Adaptive learning platforms & personalized learning pathways
• AI for assessment, grading, and academic integrity
• Virtual tutors, chatbots, and student engagement analytics
• Robotics for STEM education and experiential learning
• Policy considerations for AI in schools and universities
Outcome: Education leaders learn how to modernize teaching and learning.
        
SESSION 6

AI in Services: Customer Experience, Automation & Business Intelligence
Focus: Deep dive into the services sector
Key Topics:
• AI-powered customer service: chatbots, voicebots, sentiment analysis
• Workflow automation for finance, HR, operations, and logistics
• Robotics in hospitality, retail, and F&B
• Predictive analytics for customer lifetime value and churn
• Building AI-driven service excellence
Outcome: Service-sector managers learn how to transform operations and CX.
        
SESSION 7

AI in Healthcare: Clinical AI, Diagnostics & Hospital Automation
Focus: Deep dive into the healthcare sector
Key Topics:
• AI for diagnostics: imaging, pathology, early disease detection
• Robotics in surgery, rehabilitation, and patient care
• Hospital automation: scheduling, triage, supply chain, EMR optimization
• Patient safety, regulatory compliance, and medical AI ethics
• Telemedicine and remote monitoring powered by AI
Outcome: Healthcare leaders understand safe, compliant, high-impact AI adoption.
        
SESSION 8

Strategy, Governance & Roadmap for AI & Robotics Adoption
Focus: Implementation, governance, and long-term planning
Industries: Education, Services, Healthcare
Key Topics:
• Building an AI transformation roadmap (12–36 months)
• Organizational readiness: skills, culture, and change management
• AI governance frameworks: risk, compliance, cybersecurity
• Vendor selection, budgeting, and partnership models
• Capstone: Participants draft a mini AI roadmap for their organization
Outcome: Participants leave with a practical, actionable AI strategy.