DAI Signature Master Classes
Curated learning boosters to keep you up to speed with a fast-moving marketplace
Our Master Classes are short (5-day), intensive, practitioner-led “learning booster shots”.
Designed for professionals navigating AI-driven change, participants learn by building and interrogating real AI-enabled systems in a highly hands-on, tool-based, and interdisciplinary format. Sessions are led by practitioners and informed by real-world insights from industry collaborators such as Moladin, illumi.one, iceKredit, eason.design and MAGES Studio Pte Ltd, ensuring close alignment with current market practices and challenges.
Each Master Class culminates in solution pitches and presentations, where participants demonstrate working concepts, articulate strategic marketing implications, and translate technical experimentation into actionable insights. As these Master Classes gain momentum, we anticipate broadening the scope to include experts from law, policy and NGOs.
What to expect
- Intensive, immersive 5-day design sprint
- Practitioner-led learning grounded in real industry use cases
- Exposure to AI-enabled tools and systems used in industry
- Interdisciplinary perspectives spanning technology, design, and strategy
Upcoming session(s)
Industry host: UOB
AI in Banking
Under the guidance of UOB instructor, students will take an active and self-directed role in developing their own use cases and AI-driven solutions which they will present in the real workplace environment of UOB office. By the end of the session, students will gain an understanding of where and how AI creates value across the financial services value chain, and develop the ability to identify, frame, and critically assess AI opportunities within complex organisational contexts.
Industry host: Andrew Tan, Co-Founder and Group President, Moladin Dates: 11 – 15 May 2026
Design Your Future: Strategic Life Planning in a Rapidly Changing World This intensive masterclass distills the essential tools of strategic life design and megatrend analysis into an immersive week-long experience. You will learn to approach your future not as a problem to solve, but as a design challenge full of possibilities.
You will rapidly prototype potential life paths while developing a working knowledge of the major forces reshaping our world—from AI and automation to climate change, shifting demographics, and emerging economic models. Each session combines interactive exercises, peer collaboration, and individual reflection to help you move from exploration to actionable next steps.
Leave this masterclass with clarity on your core values and interests, map out divergent possible futures, and have specific experiments you can run immediately to test your most compelling directions. Most importantly, you will gain a repeatable framework for navigating uncertainty and continuously designing a life aligned with who you are and who you are becoming, in a world that won’t stop changing.
Industry host: Tommy Leong, Senior Business Leader, Former Senior Vice President, Schneider Electric (retired) Date: 31 August – 4 September 2026
Physical AI Orchestration, Integration and Monetisation This 5‑day masterclass guides students to design a high‑level, vendor‑neutral BMS (building management system) integration concept and subscription business model for the orchestration layer of Physical AI in the Buildings segment. Students will work in teams to blend technical design thinking with practical subscription design and conclude with a final team presentation.
Context Physical AI (e.g. cleaning, delivery and security robots) is increasingly deployed in commercial, institutional, and mixed-use buildings. However, large-scale deployment is constrained by integration complexity, safety/liability concerns, and fragmented vendor ecosystems. QuikBot has developed an orchestration and trust layer for Physical AI in buildings, integrating robots with elevators, doors, and building systems, and providing identity, safety, and policy enforcement. Integration with existing BMS is complex due to multiple architectures (on-prem centralised, distributed, cloud-hosted), protocols (BACnet, Modbus, KNX, etc.) and legacy systems, and developing a practical business model to monetise the solution with building owners or operators is key for commercialisation.
Learning goals
Industry host: Andrey Leskov (co-founder and CEO); Ling-Yi Chang (co-founder and CPO), illumi.one
Applied AI Judgment: Evaluating Value, Risk, and Real-World Use Develop your practical AI judgment—be enabled to assess AI capabilities, identify high-value use cases, and recognise risks related to errors, bias, and system complexity in real-world applications.
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