Speakers

Prof. Patrick McSharry

Prof. Patrick McSharry

Research Professor,Carnegie Mellon University Africa

Prof. Patrick McSharry is a Research Professor at the Department of Electrical and Computer Engineering, Carnegie Mellon University, Research Fellow at the Kigali Collaborative Research Centre (KCRC), and Strategic Advisor to the World Bank-funded African Centre of Excellence in Data Science (ACE-DS). He is a Fellow of the Royal Statistical Society and Senior Member of the IEEE. He has advised organizations such as the World Bank, OECD's GPAI, Mastercard Foundation, Google Foundation, International Telecommunication Union and the GSMA Foundation's Inclusive Tech Lab

Formerly a Royal Academy of Engineering Research Fellow at Oxford University and Marie Curie Fellow in both the UK and Spain, he focuses on developing AI, machine learning, and data science techniques for automating decision-making and managing risk. He has published over 100 peer-reviewed papers and authored the book 'Big Data Revolution'.

Prof. Patrick McSharry

Prof. Patrick McSharry

Research Professor,Carnegie Mellon University Africa

Course topics

  • Introduction to AI: What is AI? How does AI work? What can AI do?
  • Where has AI already created value and who is using it?
  • What resources are needed to develop and harness AI?
  • What changes are required to utilize AI in delivering services?
  • Case studies to demonstrate AI success in different sectors
  • Designing AI use-cases for impact

Masterclass format

Scoping

  • Introductions and aims
  • Welcome pack
  • Benchmark AI Readiness

Workshop

  • Demystifying, demonstrating, planning
  • Fireside chat
  • Focus groups & visits

Learning

  • Consultations
  • Reflections
  • Feedback

Program Highlights

Day 01

Demystifying AI
Understand core AI concepts through interactive case studies and demos. Explore what AI is, how it works, and its real-world applications.

Day 02

Demonstrating
Analyze sector-specific use cases and challenges through interactive assignments with real datasets.

Day 03

Planning
A hands-on workshop to build your AI roadmap. Learn to identify, prioritize, and scope high-impact use cases.

Day 04

industrial visit
Witness AI in action during a half-day industrial visit, followed by a networking meal, an evening Fireside Chat, and a cocktail reception.

Day 05

AI Consultation
An optional day for 1-on-1 consultations. Bring your specific AI questions and project challenges directly to our experts for personalized guidance.
Duration
25-29 AUGUST 2025
Location
Bangkok , Thailand
Cost of Attendence
50,000 THB
Apply Now
aiei@cmkl.ac.th
aiei.tech
061-394-2500