Post by Sandra Siehler
PhD | Executive MBA | R&D Portfolio and Program Manager | Internal Consultant | Strategic Initiative Lead | Operational Expert
🤖 CAS in Game Changer AI - Learnings from third Module 🤖 AI is everywhere, but clarity on how to apply it in business is not. That’s why I can strongly recommend the new CAS “Game Changer AI” at the University of Zurich Executive Education. It cuts through the noise and brings clarity on where AI truly creates value. Some key learnings from the third module “AI Strategy and Business Transformation” this month: 🎯 AI transformation is primarily an organizational and strategic challenge, not just a technology challenge. Companies need to adopt an AI-first mindset and redefine the business strategy and redesign processes, leadership structures, and decision-making around AI. 🎯 Agentic AI represents the next major shift to proactive systems. Unlike traditional chatbots, AI agents can reason, act autonomously, collaborate with other agents, and continuously improve. Organizations must carefully manage trust, explainability, and governance risks. 🎯 China is setting the pace for AI-driven ecosystems and customer experiences. Examples such as Alibaba’s healthcare avatars, biometric payments, and super-app ecosystems demonstrate how AI can fundamentally reshape industries and user behavior. 🎯 Open, sovereign, and trustworthy AI infrastructure is becoming strategically important for Europe. The ETH AI Center and APERTUS are examples for cutting-edge AI innovation in Switzerland, and the Zurich AI ecosystem highlights the growing importance of open models, local data control, regulatory compliance, and digital sovereignty. Purely closed commercial models like ChatGPT, Gemini or Claude do not comply to major European regulations that will be enforced in August this year (e.g. transparency rules). 🎯 Human-AI collaboration will outperform either humans or AI alone. The future is less about full automation and more about augmentation: AI enhances productivity, creativity, and decision-making, while humans provide goals, judgment, ethics, critical thinking, and contextual understanding. Organizations should therefore focus on redesigning work around collaboration with AI rather than simply replacing employees or automating existing workflows. Thank you again Patrick Meyer for the phantastic organization, and thank you to all the lecturers for sharing information, thoughts and learnings: Daniel Naeff, Dr. Daniel Fasnacht, Abraham Bernstein, and Dr. Joerg Storm. Maria Anselmi, Marco Birkhofer, Jelena Brdar, Ester Caduff, Peter Düggeli, Manuel Eicher, Alexander Fürer, Kevin Klar, Oscar Lopez Tejido, Dr. Bohdan Mishchuk, Faizal N., Hayal Oezkan, Andreea Schiopu, Dr. Andreas Tschuor, Ferry Unger, David Vuckovic, Gerd Winandi-Martin, Maedeh Yassaee, PhD #ExecutiveEducationUniversityofZürich #UniversityofZurich #CAS #GameChangerAI #GenerativeAI #AILeadership #DigitalTransformation #ETHAIInnovationCenter #Apertus