Speakers
Joël Henri Brunner
Science CounselorEmbassy of Switzerland in SingaporeStefan Morkoetter
Professor for Finance & Head of the St.Gallen Institute of Management in AsiaSt.Gallen Institute of Management in Asia (SGI-HSG)Oliver Gassmann
Professor of Innovation Management and Head of the Institute of Technology ManagementUniversity of St.GallenPhilip Chew
Managing Director for Digital Transformation & AIKeppel LimitedSu Fen Ong
Lead, Health Data & AIAPACMedAnupama Gangadhar
Principal Data Architect (Moderator)ZühlkeLocationZühlke Singapore80 Robinson Road, #22-04
Singapore 068898
Singapore 068898
In collaboration with
Zühlke partnered with the St.Gallen Institute of Management in Asia (SGI-HSG) for an exclusive, closed-door event on 27 Aug. The session brought together the SGI-HSG alumni community and global business leaders from industries undergoing deep innovation and transformation.
We welcomed an expert panel moderated by Anupama Gangadhar, Principal Data Architect at Zühlke, featuring speakers:
- Prof. Dr. Oliver Gassmann, Professor of Innovation Management and Head of the Institute of Technology Management, University of St.Gallen
- Philip Chew, Managing Director for Digital Transformation and AI, Keppel Limited
- Su Fen Ong, Lead, Health Data & AI, APACMed
What are our key takeaways?
- Think Big, Start Small: Bold ambitions paired with incremental action pave the way for sustainable innovation.
- Balancing the 20/80 Rule: Dedicate balanced resources to explore AI, without losing sight of core operational excellence to ensure sustainable innovation and operational efficiency.
- Bring People Along the Journey: Involve stakeholders and teams early to foster trust, boost adoption, and stay aligned towards shared objectives.
- Future is Agents, Plan Early: Get ready for a future where intelligent AI agents act autonomously. Positioning your organisation to leverage these innovations now can provide competitive advantages in the evolving technological landscape.
- Small Nations, Big Advantage: Agile policymaking and faster integration within the educational and industrial frameworks are clear strengths for countries like Switzerland and Singapore.
How can we prepare for better AI adoption?
- Rethinking Education: Our educational systems need to prepare future talent for AI-integrated roles, with blended technical and soft skills, real-world exposure, and cross-disciplinary learning.
- Overcoming Industry Challenges: Regulatory complexity, data privacy, and legacy systems are major blockers, especially in sectors like MedTech and Pharma. Tailored, trust-based approaches are essential for the way forward.
Keen to continue the conversation on AI in regulated industries? Check out the event content shared below.
We welcomed an expert panel moderated by Anupama Gangadhar, Principal Data Architect at Zühlke, featuring speakers:
- Prof. Dr. Oliver Gassmann, Professor of Innovation Management and Head of the Institute of Technology Management, University of St.Gallen
- Philip Chew, Managing Director for Digital Transformation and AI, Keppel Limited
- Su Fen Ong, Lead, Health Data & AI, APACMed
What are our key takeaways?
- Think Big, Start Small: Bold ambitions paired with incremental action pave the way for sustainable innovation.
- Balancing the 20/80 Rule: Dedicate balanced resources to explore AI, without losing sight of core operational excellence to ensure sustainable innovation and operational efficiency.
- Bring People Along the Journey: Involve stakeholders and teams early to foster trust, boost adoption, and stay aligned towards shared objectives.
- Future is Agents, Plan Early: Get ready for a future where intelligent AI agents act autonomously. Positioning your organisation to leverage these innovations now can provide competitive advantages in the evolving technological landscape.
- Small Nations, Big Advantage: Agile policymaking and faster integration within the educational and industrial frameworks are clear strengths for countries like Switzerland and Singapore.
How can we prepare for better AI adoption?
- Rethinking Education: Our educational systems need to prepare future talent for AI-integrated roles, with blended technical and soft skills, real-world exposure, and cross-disciplinary learning.
- Overcoming Industry Challenges: Regulatory complexity, data privacy, and legacy systems are major blockers, especially in sectors like MedTech and Pharma. Tailored, trust-based approaches are essential for the way forward.
Keen to continue the conversation on AI in regulated industries? Check out the event content shared below.